Deniz Erdogmus

Journals

[J145]    B. Azari, C. Westlin, A.B. Satpute, J.B. Hutchinson, P.A. Kragel, K. Hoemann, Z. Khan, J.B. Wormwood, K.S. Quigley, D. Erdogmus, J. Dy, D.H. Brooks, L. Feldman Barrett, “Comparing Supervised and Unsupervised Approaches to Emotion Categorization in the Human Brain, Body, and Subjective Experience”, Nature Scientific Reports, 2020.

[J144]    S. Eldeeb, D. Weber, J. Ting, A. Demir, D. Erdogmus, M. Akcakaya, “EEG-based Trial-by-Trial Texture Classification During Active Touch”, Nature Scientific Reports, 2020.

[J143]    M. Han, O. Ozdenizci, Y. Wang, T. Koike-Akino, D. Erdogmus, “Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction”, IEEE Signal Processing Letters, 2020.

[J142]    A. Kocanaogullari, Y.M. Marghi, M. Akcakaya, D. Erdogmus, “An Active Recursive State Estimation Framework for Brain-Interfaced Typing Systems”, Transactions on Brain Computer Interfaces, 2020.

[J141]    M.D. Li, K. Chang, B. Bearce, C.Y. Chang, A.J. Huang, J.P. Campbell, J.M. Brown, P. Singh, K.V. Hoebel, D. Erdoğmuş, S. Ioannidis, W.E. Palmer, M.F. Chiang, J. Kalpathy-Cramer, Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium, “Siamese Neural Networks for Evaluation of Disease Severity and Change on a Continuous Spectrum in Medical Imaging”, NPJ Digital Medicine, 2020.

[J140]    O. Ozdenizci, Y. Wang, T. Koike-Akino, D. Erdogmus, “Learning Invariant Representations From EEG via Adversarial Inference”, IEEE Access, 2020.

[J139]    B. Peters, S. Bedrick, S. Dudy, B. Eddy, M. Higger, M. Kinsella, D. LcLaughlin, T. Memmott, B. Oken, F. Quivira, S. Spaulding, D. Erdogmus, M. Fried-Oken”, SSVEP BCI and Eye Tracking Use by individuals with Late-stage ALS and Visual Impairments”, Frontiers in Human Neuroscience, 2020.

[J138]     V. Yildiz, P. Tian, I. Yildiz, J.M. Brown, J. Kalpathy-Cramer, J. Dy, S. Ioannidis, D. Erdogmus, S. Ostmo, S.J. Kim, R.V.P. Chan, J.P. Campbell, M.F. Chiang, “Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach”, TVST, 2020.

[J137]     I. Yildiz, P. Tian, J. Dy, D. Erdogmus, J. Brown, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis, “Classification and Comparison Via Neural Networks”, Neural Networks, vol. 118, p. 65-80, Oct 2019. DOI

[J136]     M. Han, S.Y. Gunay, G. Schirner, T. Padir, D. Erdogmus, “HANDS: A Multimodal Dataset for Modeling Toward Human Grasp Intent Inference in Prosthetic Hands”, Intelligent Service Robotics, (epub) Sep 2019. DOI

[J135]     S. Taylor, J.M. Brown, K. Gupta, J.P. Campbell, S. Ostmo, R.V.P. Chan, J. Dy, D. Erdogmus, S. Ioannidis, S.J. Kim, J. Kalpathy-Cramer, M.F. Chiang, “Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning”, JAMA Opthalmology, vol. 137, no. 9, p. 1022-1028, Jul 2019. DOI

[J134]     K. Gupta, J.P. Campbell, S. Taylor, J.M. Brown, S. Ostmo, R.V.P. Chan, J. Dy, D. Erdogmus, S. Ioannidis, J. Kalpathy-Cramer, S. J. Kim, M.F. Chiang, “A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment”, JAMA Opthalmology, vol. 137, no. 9, p. 1029-1036, Jul 2019. DOI

[J133]     M.S. Goodwin, C.A. Mazefsky, S. Ioannidis, D. Erdogmus, M. Siegel, “Predicting Aggression to Others in Youth with Autism Using Wearable Biosensor”, Autism Research, vol. 12, no. 8, p. 1286-1296, (epub) Jun 2019. DOI

[J132]     P. Gonzalez-Navarro, Y.M. Marghi, B. Azari, M. Akcakaya, D. Erdogmus, “An Event-driven AR-process Model with Rapid Trial Sequences for EEG-based BCIs”, IEEE TNSRE, vol. 27, no. 5, p. 798-804, May 2019. DOI

[J131]     O. Ozdenizci, Y. Wang, T. Koike-Akino, D. Erdogmus, “Adversarial Deep Learning in EEG Biometrics”, IEEE Signal Processing Letters, vol. 26, no. 5, p. 710-714, Mar 2019. DOI

[J131]     Y. Xiang, M. Akcakaya, S. Sen, D. Erdogmus, A. Nehorai, “Target Tracking Via Recursive Bayesian State Estimation in Cognitive Radar Networks”, Signal Processing, vol. 155, p. 157-169, Feb 2019. DOI

[J130]     O. Ozdenizci, D. Erdogmus, “Information Theoretic Feature Transformation Learning for Brain Interfaces”, IEEE Transactions in Biomedical Engineering, vol. 67, no. 1, p. 69-78, Jan 2019. DOI

[J129]     S. Salehi, S. Khan, D. Erdogmus, A. Gholipour, “Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration”, IEEE TMI, vol. 38, no. 2, p. 470-481, Feb 2019 (epub 2018). DOI

[J128]     S.R. Hashemi, S. Salehi, D. Erdogmus, S.P. Prabhu, S.K. Warfield, A. Gholipour, “Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection,” IEEE Access, vol. 7, pp. 1721-1735, Jan 2019 (epub 2018). DOI

[J127]     B. Kadioglu, I. Yildiz, P. Closas, M. Fried-Oken, D. Erdogmus, “Robust Fusion of c-VEP and Gaze”, IEEE Sensor Letters (Special Issue on Multimodal Data Fusion), Jan 2019 (epub 2018). DOI

[J126]     T.K. Redd, J.P. Campbell, J.M. Brown, S.J. Kim, S. Ostmo, R.V.P. Chan, J. Dy, D. Erdogmus, S. Ioannidis, J. Kalpathy-Cramer, M.F. Chiang, “Evaluation of a Deep Learning Image Assessment System for Detecting Severe Retinopathy of Prematurity”, British Journal of Opthalmology, Nov 2018. DOI

[J125]    A. Ahani, M. Moghadamfalahi, D. Erdogmus, “Language-Model Assisted and Icon-based Communication Through a Brain Computer Interface with Different Presentation Paradigms”, IEEE TNSRE, Jul 2018. DOI

[J124]    J.M. Brown, J.P. Campbell, A. Beers, K. Chang, S. Ostmo, R.V. Paul Chan, J. Dy, D. Erdogmus, S. Ioannidis, J. Kalpathy-Cramer, M. Chiang, “Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks”, JAMA Opthalmology, vol. 136, no. 7, p. 803-810, 2018. DOI 

[J123]    B. Kadioglu, I. Yildiz, P. Closas, D. Erdogmus, “M-Estimation Based Subspace Learning for Brain Computer Interfaces”, IEEE JSTSP, vol. 12, no. 6, p. 1276–1285, 2018. DOI

[J122]    A. Kocanaogullari, M. Akcakaya, D. Erdogmus, “On Analysis of Active Querying for Recursive State Estimation”, IEEE SPL, vol. 25, no. 6, p. 743–747, 2018. DOI

[J121]    A. Kocanaogullari, Y.M. Marghi, M. Akcakaya, D. Erdogmus, “Optimal Query Selection Using Multi-Armed Bandits”, IEEE SPL, vol. 25, no. 12, p. 1870–1874, 2018. DOI

[J120]    H. Nezamfar, S. Salehi, M. Higger, D. Erdogmus, “Code-VEP vs Eye Tracking: A Comparison Study”, Brain Sciences, vol. 8, no. 7, 2018. DOI

[J119]    B. Peters, M. Higger, F. Quivira, S. Bedrick, S. Dudy, B. Eddy, M. Kinsella, T. Memmott, J. Wiedrick, M. Fried-Oken, D. Erdogmus, B. Oken. “Effects of Simulated Visual Acuity and Ocular Motility Impairments on SSVEP BCI Performance: An Experiment With Shuffle Speller”, Brain Computer Interfaces, vol. 5, no. 2-3, p. 58-72, 2018. DOI

[J118]    J. Sourati, M. Akcakaya, D. Erdogmus, T.K. Leen, J. Dy, “A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio”, IEEE TPAMI, vol. 40, no. 8, p. 2023-2029, 2018. DOI

[J117]    S. Salehi, D. Erdogmus, A. Gholipour, “Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging”, IEEE TMI, vol. 36, no. 11, Nov 2017. DOI

[J116]    M. Moghadamfalahi, M. Akcakaya, H. Nezamfar, J. Sourati, D. Erdogmus, “An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling”, IEEE Transactions on Signal Processing, vol. 65, no. 20, p 5381-5391, Oct 2017. DOI

[J115]    E. Onuk, J. Badger, Y.J. Wang, J. Bardhan, Y. Chishti, M. Akcakaya, D.H. Brooks, D. Erdogmus, D.L. Minh, L. Makowski, “Effects of Catalytic Action and Ligand Binding on Conformational Ensembles of Adenylate Kinase”, Biochemistry, Aug. 2017. DOI

[J114]    M. Haghighi, M. Moghadamfalahi, M. Akcakaya, D. Erdogmus, “EEG-assisted Modulation of Sound Sources in the Auditory Scene”, Biomedical SigPro and Control, vol. 39, p. 263-270, (online) Aug 2017. DOI

[J113]    M. Haghighi, M. Moghadamfalahi, M. Akcakaya, B. Shinn-Cunningham, D. Erdogmus, “A Graphical Model for Online Auditory Scene Modulation Using EEG Evidence for Attention”, IEEE TNSRE, vol. 25, no. 11, Jun 2017. DOI

[J112]    M. Shaker, D. Erdogmus, J. Dy, S. Bouix, “Subject-specific Abnormal Region Detection in Traumatic Brain Injury Using Sparse Model Selection on High-dimensional Diffusion Data”, Medical Image Analysis, vol. 37, p. 56-65, Apr 2017. DOI

[J111]    J. Sourati, M. Akcakaya, T.K. Leen, D.Erdogmus, J.G. Dy, “Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning”, JMLR, vol. 18, p. 1-41, Mar 2017. DOI

[J110]    P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya, D. Erdogmus, “Spatio-temporal EEG Models for Brain Interfaces”, Signal Processing, vol. 31, pp. 333-343, Feb 2017. DOI

[J109]    U. Orhan, H. Nezamfar, M. Akcakaya, D. Erdogmus, M. Higger, M. Moghadamfalahi, A. Fowler, B. Roark, B. Oken, M. Fried-Oken, “Probabilistic Simulation Framework for EEG-based BCI Design”, BCI, vol. 3, no. 4, p. 171-185, Dec 2016. DOI

[J108]    J.P. Campbell, J. Kalpathy-Cramer, D. Erdogmus, P. Tian, D. Kedarisetti, C. Moleta, J.D. Reynolds, K. Hutcheson, M.J. Shapiro, M.X. Repka, P. Ferrone, K. Dresner, J. Horowotz, K. Sonmez, R. Swan, S. Ostmo, K.E. Jonas, R.V.P. Chan, M. F. Chiang, “Plus Disease in ROP: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability”, vol. 123, no. 11, p. 2338-2344, Nov 2016. DOI

[J107]    J. Kalpathy-Cramer, J.P. Campbell, D. Erdogmus, P. Tian, D. Kedarisetti, C. Moleta, J.D. Reynolds, K. Shapiro, M.X. Repka, P. Ferrone, K. Drenser, J. Horowitz, K. Sonmez, R. Swan, S. Ostmo, K.E. Jonas, R.V. Chan, M.F. Chiang, “Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis”, Opthalmology, vol. 11, p. 2345-2351, Nov 2016. DOI

[J106]    M. Higger, F. Quivira, M. Akcakaya, M. Moghadamfalahi, H. Nezamfar, M. Cetin, D. Erdogmus, “Recursive Bayesian Coding for BCIs”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, (online) Jul 2016. DOI

[J105]    J.P. Campbell, E. Ataer-Cansizoglu, V. Bolon-Canedo, A. Bozkurt, D. Erdogmus, J. Kalpathy-Cramer, S.N. Patel, J.D. Reynolds, J. Horowitz, K. Hutcheson, M. Shapiro, M.X. Repka, P.Ferrone, K. Dresner, M.A. Martinez-Castellanos, S. Ostmo, K. Jonas, R.N.P. Chan, M.F. Chiang, “Expert Diagnosis of Plus Disease in Retinopathy of Prematurity from Computer-based Image Analysis”, JAMA Ophthalmology, vol. 134, no. 6, p. 651-657, Jun 2016. DOI

[J104]    S. Guler, M. Dannhauer, B. Erem, R. Macleod, D. Tucker, S. Turovets, P. Luu, D. Erdogmus, D.H. Brooks, “Optimization of Focality and Direction in Dense Electrode Array Transcranial Direct Current Stimulation (tDCS)”, Journal of Neural Engineering, vol. 13, no. 3, May 2016. DOI

[J103]    A.E. Onuk, M. Akcakaya, J. Bardhan, D. Erdogmus, D.H. Brooks, L. Makowski, “Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS”, Journal of Signal Processing Systems, (online) May 2016. DOI

[J102]    H. Nezamfar, S. Salehi, M. Moghadamfalahi, D. Erdogmus, “FlashType^TM: A Context-aware c-VEP-based BCI Typing Interface using EEG Signals”, IEEE Journal of Selected Topics in Signal Processing, (online) Apr 2016. DOI

[J101]    J. Sourati, M. Akcakaya, J.G. Dy, T.K. Leen, D. Erdogmus, “Classification Active Learning Based on Mutual Information”, Entropy, vol. 18, no. 2, Jan 2016. DOI

[J100]    E. Ataer-Cansizoglu, V. Bolon-Canedo, J.P. Campell, A. Bozkurt, D. Erdogmus, J. Kalpathy-Cramer, S. Patel, K. Jonas, R.V.P. Chan, S. Ostmo, M.F. Chiang, “Computer-based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the i-ROP System and Image Features Associated with Expert Diagnosis”, Translational Vision Science and Technology, vol. 4, no. 6, Nov 2015. DOI

[J99]      V. Bolon-Canedo, E. Ataer-Cansizoglu, D. Erdogmus, J. Kalpathy-Cramer, O. Fontenla-Romero, A. Alonso-Betanzos, M.F. Chiang, “Dealing with Inter-expert Variability in Retinopathy of Prematurity: A Machine Learning Approach”, Computer Methods and Programs in Biomedicine, vol. 122, no. 1, p. 1-15, Oct 2015. DOI

[J98]      A.E. Onuk, M. Akcakaya, J. Bardhan, D. Erdogmus, D.H. Brooks, L. Makowski, “Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heteregeneous Mixture from Small Angle X-ray Scattering Intensity Measurements”, IEEE Transactions on Signal Processing, vol. 63, no. 20, pp. 5383-5394, Oct.15, 2015. DOI

[J97]      M. Moghadamfalahi, U. Orhan, M. Akcakaya, H. Nezamfar, M. Fried-Oken, D. Erdogmus, “Language-mode-assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 23, no. 5, Sep 2015. DOI

[J96]      M. Higger, M. Akcakaya, H. Nezamfar, G. LaMountain, U. Orhan, D. Erdogmus, “A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs”, IEEE Signal Processing Letters, vol. 22, no. 6, p. 743-747, Jun 2015. DOI

[J95]      E. Ataer-Cansizoglu, J. Kalpathy-Cramer, S. You, K. Keck, D. Erdogmus, M.F. Chiang, “Analysis of Underlying Causes of Inter-Expert Disagreement in Retinopathy of Prematurity Diagnosis: Application of Machine Learning Principles”, Methods of Information in Medicine, vol. 54, no. 1, p. 93-102, Jan 2015. DOI

[J94]      A. Ahani, K. Wiegand, U. Orhan, M. Akcakaya, M. Moghadamfalahi, H. Nezamfar, R. Patel, D. Erdogmus, “RSVP IconMessenger: Icon-based Brain-Interfaced Alternative and Augmentative Communication”, Brain Computer Interfaces, vol. 1, no. 3-4, p. 192-203, Dec 2014. DOI

[J93]      E. Ataer-Cansizoglu, M. Akcakaya, D. Erdogmus, “Minor Surfaces are Boundaries of Mode-based Clusters”, IEEE Signal Processing Letters, vol. 22, no. 7, p. 891-895, Nov 2014. DOI

[J92]      J. Zupanc, B. Drasler, S. Boljte, V. Kralj-Iglic, A. Iglic, D. Erdogmus, D. Drobne, “Lipid Vesicle Shape Analysis from Populations Using Light Video Microscopy and Computer Vision”, PLOS One, vol. 9, no. 11, Nov 2014.         DOI

[J91]      B. Dizdaroglu, E. Ataer-Cansizoglu, J. Kalpathy-Cramer, K. Keck, M.F. Chiang, D. Erdogmus, “Structure-based Level Set Method for Automatic Retinal Vasculature Segmentation”, EURASIP Journal on Image and Video Processing, vol. 2014, no. 39, Aug 2014. DOI

[J90]      J. Sourati, D. Erdogmus, J.G. Dy, Dana H. Brooks, “Accelerated Interactive Image Segmentation using Pairwise Constraints”, IEEE Trans on Image Processing, vol. 23, no. 7, pp. 3057-3070, Jul 2014. DOI

[J89]      M. Shaker, J.N. Myhre, D. Erdogmus, “Computationally Efficient High Dimensional Density Derivative Estimation using Separable Multivariate Kernels”, Journal of Signal Processing Systems, p. 1-12, Jun 2014. DOI

[J88]      A. Ahani, H. Wahbeh, H. Nezamfar, M. Miller, D. Erdogmus, B. Oken, “Quantitative Change of EEG and Respiration Signals During Mindfulness Meditation”, Journal of NeuroEngineering and Rehabilitation, vol. 11, no. 87, May 2014. DOI

[J87]      M. Akcakaya, B. Peters, M. Moghadamfalahi, A. Mooney, U. Orhan, B. Oken, D. Erdogmus, M. Fried-Oken, “Noninvasive Brain Computer Interfaces for Augmentative and Alternative Communication”, IEEE Reviews in Biomedical Engineering, 2014. DOI

[J86]      E. Ataer-Cansizoglu, M. Akcakaya, U. Orhan, D. Erdogmus, “Manifold Learning by Preserving Distance Orders”, Pattern Recognition Letters, vol. 38, pp. 120-131, Mar 2014. DOI

[J85]      B.S. Oken, U. Orhan, B. Roark, D. Erdogmus, A. Fowler, A. Mooney, B. Peters, M. Miller, M. Fried-Oken, “Brain-Computer Interface with Language Model-EEG Fusion for Locked-in Syndrome”, Neurorehabilitation and Neural Repair, vol. ??, pp. ??-??, Dec 2013. DOI

[J84]      U. Orhan, D. Erdogmus, B. Roark, B. Oken, M. Fried-Oken, “Offline Analysis of Context Contribution to ERP-based Typing BCI Performance”, Journal of Neural Engineering, vol. 10, no. 6, Oct 2013. DOI

[J83]      K.M. Keck, J. Kalpathy-Cramer, E. Ataer-Cansizoglu, S. You, D. Erdogmus, M.F. Chiang, “Plus Disease Diagnosis in Retinopathy of Prematurity: Vascular Tortuosity as a Function of Distance from Optic Disc”, Retina, vol. 33, no. 8, pp.1700-1707, Sep 2013. DOI [PMID: 23538582]

[J82]      M. Higger, M. Akcakaya, D. Erdogmus, “A Robust Fusion Algorithm for Sensor Failure”, IEEE Signal Processing Letters, vol. 20, no. 8, Aug 2013. DOI

[J81]      E. Ataer-Cansizoglu, E. Bas, J. Kalpathy-Cramer, G.C. Sharp, D. Erdogmus, “Contour-based Shape Representation Using Principal Curves”, Pattern Recognition, vol. 46, no. 4, pp. 1140-1150, Apr 2013. DOI

[J80]      O. Kyrgyzov, D. Erdogmus, “Nonnegative Nonredundant Tensor Decomposition”, Frontiers of Mathematics in China, vol. 8, no. 1, pp. 41-61, Feb 2013. DOI

[J79]      M. Simundic, B. Drasler, V. Sustar, J. Zupanc, R. Stukelj, D. Makovec, D. Erdogmus, H. Hagerstrand, D. Drobne, V. Kralj-Iglic, “Effect of Engineered TiO₂ and ZnO Nano and Microparticles on Washed Erythrocytes, Platelet Rich Plasma and Giant Unilamelar Phospholipid Vesicles”, BMC Veterinary Research, vol. 9, no. 7, Jan 2013. DOI

[J78]      G. Schirner, D. Erdogmus, K. Chowdhury, T. Padir, “The Future of Human-in-the-Loop Cyber-Physical Systems”, IEEE Computer, vol. 46, no. 1 Jan 2013. (Outlook Special Issue, Invited Paper) DOI

[J77]      E. Bas, D. Erdogmus, R.W. Draft, J.W. Lichtman, “Local Tracing of Curvilinear Structures in Volumetric Color Images: Application to Brainbow Analysis”, Journal of Visual Communication and Image Representation, vol. 23, no. 8, pp. 1260-1271, Nov 2012. DOI

[J76]      E. Bas, D. Erdogmus, “Connectivity of Projected High Dimensional Data Charts on One Dimensional Curves”, Signal Processing, vol. 91, no. 10, pp. 2404-2409, Oct 2011. DOI

[J75]      E. Bas, D. Erdogmus, “Principal Curves as Skeletons of Tubular Objects: Locally Characterizing the Structures of Axons”, Neuroinformatics, vol. 9, no. 2-3, p. 181-191, Sep 2011. (Invited to Special Issue on DIADEM Challenge)

[J74]      H. Nezamfar, U. Orhan, S. Purwar, K.E. Hild, B. Oken, D. Erdogmus, “Decoding of Multichannel EEG Activity from the Visual Cortex in Response to Pseudorandom Binary Sequences of Visual Stimuli”, International Journal of Imaging Systems and Technology (Special Issue on Pattern Recognition in Neuroimaging), vol. 21, no. 2, pp. 139-147, Jun 2011.

[J73]      Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, K.E. Hild II, “A Framework for Rapid Visual Image Search using Single-trial Brain Evoked Responses”, Neurocomputing, vol. 74, pp. 2041-2051, May 2011.

[J72]      J. Mak, Y. Arbel, L. Bianchi, D. Erdogmus, L. McCane, J. Minett, D. Ryan, D. Thompson, B. Yuksel, “Optimizing the P300-based Brain Computer Interface: Current Status, Limitations, and Future Directions”, Journal of Neural Engineering, vol. 8, no. 2, Apr 2011. DOI

[J71]      U. Ozertem, D. Erdogmus, “Locally Defined Principal Curves and Surfaces”, Journal of Machine Learning Research, vol. 12, pp. 1249-1286, Apr 2011. LINK

[J70]      J. Zupanc, D. Drobne, D. Erdogmus, E. Bas, J. Valant, A. Dobnikar, “Biological Reactivity of Nanoparticles: Mosaics from Optical Microscopy Videos of Giant Lipid Vesicles”, Journal of Biomedical Optics, vol. 16. No. 2, Feb 2011. DOI

[J69]      O. Kyrgyzov, D. Erdogmus, “Numerical Optimization of a Sum-of-Rank-1 Decomposition for n-Dimensional Order-p Symmetric Tensors”, Neurocomputing, vol. 73, no. 16-18, pp. 3323-3327, Oct 2010.

[J68]      J. Szumowski, E. Bas, K. Gaarder, E. Schwarz, D. Erdogmus, S. Hayflick, “Measurement of Brain Iron Distribution in Hallevorden-Spatz Syndrome”, Journal of Magnetic Resonance Imaging, vol. 31, no. 2, pp. 482-489, Feb 2010.

[J67]      U. Ozertem, D. Erdogmus, “RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection”, IEEE Transactions on Neural Networks, vol. 20, no. 7, pp. 1195-1203, Jul 2009.

[J66]      U. Ozertem, D. Erdogmus, “Principal Curve Time Warping”, IEEE Transactions on Signal Processing, vol. 57, no. 6, pp. 2041-2049, Jun 2009.

[J65]      J.M. Gorriz, J. Ramirez, S. Cruces-Alvarez, C.G. Puntonet, E.W. Lang, D. Erdogmus, “A Novel LMS Algorithm Applied to Adaptive Noise Cancellation”, IEEE Signal Processing Letters, vol. 16, no. 1, pp. 34-37, Jan 2009.

[J64]      U. Ozertem, D. Erdogmus, “Second-Order Volterra System Identification with Noisy Input-Output Measurements”, IEEE Signal Processing Letters, vol. 16, no. 1, pp. 18-21, Jan 2009.

[J63]      J.M. Gorriz, J. Ramirez, S. Cruces-Alvarez, D. Erdogmus, C.G. Puntonet, E.W. Lang, “Speech Enhancement in Discontinuous Transmission Systems using the Constrained-Stability Least-Mean Squares Algorithm”, Journal of the Acoustical Society of America, vol. 124, no. 6, pp. 2669-3683, Dec 2008.

[J62]      U. Ozertem, I. Uysal, D. Erdogmus, “Continuously Differentiable Sample-Spacing Entropy Estimation”, IEEE Transactions on Neural Networks, vol. 19, no. 11, pp. 1978-1984, Nov 2008.

[J61]      M.R. Lightner, D. Erdogmus, “Signal Processing Challenges in Cognitive Assistive Technology”, IEEE Signal Processing Magazine, vol. 25, no. 5, pp. 103-108, Sep 2008.

[J60]      P.P. Pokharel, U. Ozertem, D. Erdogmus, J.C. Principe, “Recursive Complex BSS via Generalized Eigendecomposition and Application in Image Rejection for BPSK Source Signal Processing”, Signal Processing, vol. 88, no. 6, pp. 1368-1381, Jun 2008.

[J59]      U. Ozertem, D. Erdogmus, R. Jenssen, “Mean Shift Spectral Clustering”, Pattern Recognition, vol. 41, no. 6, pp. 1924-1938, Jun 2008.

[J58]      M.C. Dorneich, S.D. Whitlow, S. Mathan, P.M. Ververs, D. Erdogmus, A. Adami, M. Pavel, T. Lan, “Supporting Real-time Cognitive State Classification on a Mobile Individual”, Journal of Cognitive Engineering and Decision Making, vol. 1, no. 3, pp. 240-270, Fall 2007. (Special Issue on Augmented Cognition: Past, Present, and Future)

[J57]      A. Hegde, D. Erdogmus, D.S. Shiau, J.C. Principe, C.J. Sackellares, “Clustering Approach to Quantify Long Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalograph”, Computational Intelligence and Neuroscience, vol. 2007, Article ID 83416, 18 pages, Nov 2007.  (Special Issue on EEG/MEG Signal Processing)

[J56]      U. Ozertem, D. Erdogmus, “Information Regularized Decision Fusion for Localization with Binary Sensor Networks”, Journal of VLSI Signal Processing Systems, vol. 49, no. 2, Nov 2007. (Special Issue on Data Fusion)

[J55]      S. Han, S. Rao, D. Erdogmus, K.H. Jeong, J.C. Principe, “A Minimum Error Entropy Criterion with Self Adjusting Stepsize”, Signal Processing, vol. 87, no. 11, pp. 2733-2745, Nov 2007.

[J54]      T. Lan, D. Erdogmus, A. Adami, S. Mathan, M. Pavel, “Feature and Channel Selection for Cognitive State Estimation Using Ambulatory EEG”, Computational Intelligence and Neuroscience, vol. 2007, Article ID 74895, 12 pages, Sep 2007. (Special Issue on Brain Computer Interfaces)

[J53]      U. Ozertem, D. Erdogmus, “Nonparametric Snakes”, IEEE Transactions on Image Processing, vol. 16, no. 9, pp. 2361-2368, Sep 2007.

[J52]      T. Lan, D. Erdogmus, “Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis”, Journal of VLSI Signal Processing Systems, vol. 48, no. 1-2, pp. 39-52, Aug 2007. (Invited extension of paper from MLSP 2005)

[J51]      R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian Classifier”, IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3262-3271, Jul 2007.

[J50]      S.C. Kazmierczak, T.K. Leen, D. Erdogmus, M.A. Carreira-Perpinan, “Reduction of Multi-dimensional Laboratory Data to a Two-dimensional Plot: A Novel Technique for the Identification of Laboratory Error”, Clinical Chemistry and Laboratory Medicine, vol. 45, no. 6, pp. 749-752, Jun 2007.

[J49]      R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Information Cut for Clustering Using a Gradient Descent Approach”, Pattern Recognition, vol. 40, no. 3, pp. 796-806, Mar 2007.

[J48]      J. Zhao, D. Wu, D. Erdogmus, Y. Fang, Z. He, “Adaptive Motion Estimation Schemes Using Maximum Mutual Information Criterion”, Journal of Wireless Communications and Mobile Computing, vol. 7, no. 2, pp. 205-215, Feb 2007. (Special Issue on Video Communications for 4G Wireless Systems)

[J47]      J. Cho, J.C. Principe, D. Erdogmus, M.A. Motter, “Quasi Sliding Mode Control Strategy Based on Multiple Linear Models”, Neurocomputing, vol. 70, no. 4-6, pp. 960-974, Jan 2007.

[J46]      R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Some Equivalences Between Kernel Methods and Information Theoretic Methods”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 49-65, Nov 2006. (Invited paper for MLSP’04 special issue)

[J45]      A. Hegde, D. Erdogmus, Y.N. Rao, H. Peddaneni, U. Ozertem, J.C. Principe, “Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 85-95, Nov 2006. (Invited paper for MLSP’04 special issue)

[J44]      D. Erdogmus, R. Jenssen, Y.N. Rao, J.C. Principe, “Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 67-83, Nov 2006. (Invited paper for MLSP’04 special issue)

[J43]      D. Erdogmus, J.C. Principe, “From Linear Adaptive Filtering to Nonlinear Information Processing”, IEEE Signal Processing Magazine, vol. 23, no. 6, pp. 14-33, Nov 2006.

[J42]      R. Jenssen, J.C. Principe, D. Erdogmus, T. Eltoft, “Cauchy-Schwarz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels”, Journal of Franklin Institute, vol. 343, no. 6, pp. 614-629, Sep 2006. (Invited extension of Best Student Paper from ICASSP 2005)

[J41]      C.D. Fuller, C.R. Thomas, S. Schwartz, N. Golden, J. Ting, A. Wong, D. Erdogmus, T.J. Scarbrough, “Method Comparison of Ultrasound and Kilovoltage X-Ray Fiducial Marker Imaging for Prostate Radiotheraphy Targeting”, Physics in Medicine and Biology, vol. 51, pp. 4981-4993, Sep 2006.

[J40]      K.E. Hild II, D. Erdogmus, K. Torkkola, J.C. Principe, “Feature Extraction Using Information-Theoretic Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1385-1392, Sep 2006.

[J39]      U. Ozertem, D. Erdogmus, R. Jenssen, “Spectral Feature Projections that Maximize Shannon Mutual Information with Class Labels”, Pattern Recognition, vol. 39, no. 7, pp. 1241-1252, July 2006.

[J38]      S.P. Kim, J.C. Sanchez, Y.N. Rao, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, “A Comparison of Optimal MIMO Linear and Nonlinear Models for Brain-Machine Interfaces”, Journal of Neural Engineering, vol. 3, pp. 145-161, May 2006.

[J37]      J. Cho, J.C. Principe, D. Erdogmus, M.A. Motter, “Modeling and Inverse Controller Design for an Unmanned Aerial Vehicle Based on the Self Organizing Map”, IEEE Transactions on Neural Networks, vol. 17, no. 2, pp. 445-460, 2005. (Special Issue on Neural Networks for Feedback Control Systems)

[J36]      K.E. Hild II, D. Erdogmus, J.C. Principe, “An Analysis of Entropy Estimators for Blind Source Separation”, Signal Processing, vol. 86, no. 1, pp. 182-194, 2006.

[J35]      K.E. Hild II, D. Erdogmus, J.C. Principe, “Experimental Upper Bound for the Performance of Convolutive Source Separation Methods”, IEEE Transactions on Signal Processing, vol. 54, no. 2, pp. 627-635, 2006.

[J34]      S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Sanchez, M.A. Nicolelis, J.C. Principe, “Determining Patterns in Neural Activity for Reaching Movements Using Non-Negative Matrix Factorization”, EURASIP Journal of Applied Signal Processing, vol. 2005, no. 19, pp. 3113-3121, 2005. (Special Issue on Trends in Brain-Computer Interfaces)

[J33]      Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Fast Error Whitening Algorithms for System Identification and Control with Noisy Data”, Neurocomputing, vol. 69, no. 1-3, pp. 158-181, 2005. (Invited paper for NNSP’03 Special Issue)

[J32]      A. Hegde, D. Erdogmus, J.C. Principe, “Quantifying Spatio-Temporal Dependencies in Epileptic ECOG”, Signal Processing, vol. 85, no. 11, pp. 2082-2100, 2005. (Special Issue on Neuronal Coordination in the Brain: A Signal Processing Perspective)

[J31]      K.E. Hild II, D. Pinto, D. Erdogmus, J.C. Principe, “Convolutive Blind Source Separation by Minimizing Mutual Information Between Segments of Signals”, IEEE Transactions on Circuits and Systems I, vol. 52, no. 10, pp. 2188-2196, 2005.

[J30]      K.H. Jeong, J.W. Xu, D. Erdogmus, J.C. Principe, “A New Classifier Based on Information Theoretic Learning with Unlabeled Data”, Neural Networks, vol. 18, no. 5-6, pp. 719-726, 2005 (Invited paper for IJCNN’05 Special Issue).

[J29]      J.C. Sanchez, D. Erdogmus, M. Nicolelis, J. Wessberg, J.C. Principe, “Interpreting Spatial and Temporal Neural Activity Through a Recurrent Neural Network Brain Machine Interface”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, no. 2, pp.213-219, 2005.

[J28]      D. Erdogmus, R. Agrawal, J.C. Principe, “A Mutual Information Extension to the Matched Filter”, Signal Processing, vol. 85, no. 5, pp. 927-935, 2005. (Special Issue on Information Theoretic Signal Processing)

[J27]      D. Erdogmus, O. Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Linear-Least-Squares Initialization of Multilayer Perceptrons Through Backpropagation of the Desired Response”, IEEE Transactions on Neural Networks, vol. 16, no. 2, pp. 325-337, 2005.

[J26]      Y.N. Rao, D. Erdogmus, J.C. Principe, “Error Whitening Criterion for Adaptive Filtering: Theory and Algorithms” IEEE Transactions on Signal Processing, vol. 53, no. 3, pp. 1057-1069, 2005.

[J25]      M. Lazaro, I. Santamaria, D. Erdogmus, K.E. Hild II, C. Pantaleon, J.C. Principe, “Stochastic Blind Equalization Based on PDF Fitting Using Parzen Estimator”, IEEE Transactions on Signal Processing, vol. 53, no. 2, pp. 696-704, 2005.

[J24]      T. Lehn-Schioler, A. Hegde, D. Erdogmus, J.C. Principe, “Vector Quantization Using Information Theoretic Concepts”, Natural Computing, vol. 4, pp. 39-51, 2005.

[J23]      J. Lan, J. Cho, D. Erdogmus, J.C. Principe, M. Motter, J. Xu, “Local Linear PID Controllers for Nonlinear Control”, International Journal of Control and Intelligent Systems, vol. 33, no. 1, pp. 26-35, 2005. (Special Issue on Nonlinear Adaptive PID Control)

[J22]      D. Erdogmus, Y.N. Rao, H. Peddaneni, A. Hegde, J.C. Principe, “Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation”, EURASIP Journal of Applied Signal Processing, vol. 2004, no. 13, pp. 2034-2041, 2004.

[J21]      D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, “Image Construction Methods for Phased Array Magnetic Resonance Imaging”, Journal Magnetic Resonance Imaging, vol. 20, pp. 306-314, 2004.

[J20]      V. Sindhwani, S. Rakshit, D. Deodhar, D. Erdogmus, J.C. Principe, P. Niyogi, “Feature Selection in MLPs and SVMs based on Maximum Output Information”, IEEE Transactions on Neural Networks, vol. 15, no. 4, pp. 937-948, 2004. (Special Issue on Information Theoretic Learning)

[J19]      D. Erdogmus, K.E. Hild II, M. Lazaro, I. Santamaria, J.C. Principe, “Adaptive Blind Deconvolution of Linear Channels Using Renyi’s Entropy with Parzen Estimation”, IEEE Transactions on Signal Processing, vol. 52, no. 6, pp. 1489-1498, 2004.

[J18]      D. Erdogmus, J.C. Principe, “Lower and Upper Bounds for Misclassification Probability Based on Renyi’s Information”, Journal of VLSI Signal Processing Systems, vol. 37, no. 2/3, pp. 305-317, 2004. (Invited paper for Special Issue on Machine Learning for Signal Processing)

[J17]      D. Erdogmus, E.G. Larsson, R. Yan, Jose C. Principe, J.R. Fitzsimmons, “Measuring the Signal-to-Noise-Ratio in Magnetic Resonance Imaging: A Caveat”, Signal Processing, vol. 84, no. 6, pp. 1035-1040, 2004.

[J16]      D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, “Asymptotic SNR-Performance of Some Image Combination Techniques for Phased-Array MRI”, Signal Processing, vol. 84, no. 6, pp. 997-1003, 2004.

[J15]      D. Erdogmus, K.E. Hild II, Y.N. Rao, J.C. Principe, “Minimax Mutual Information Approach for Independent Components Analysis”, Neural Computation, vol. 16, no. 6, pp. 1235-1252, 2004.

[J14]      S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, “Divide-and-Conquer Approach for Brain Machine Interfaces: Nonlinear Mixture of Competitive Local Linear Models”, Neural Networks, vol. 16, no. 5-6, pp. 865-871, 2003. (Invited Paper for IJCNN’03 Special Issue on Advances in Neural Networks Research)

[J13]      Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Stochastic Error Whitening Algorithm for Linear Filter Estimation with Noisy Data”, Neural Networks, vol. 16, no. 5-6, pp. 873-880, 2003. (Invited Paper for IJCNN’03 Special Issue on Advances in Neural Networks Research)

[J12]      D. Erdogmus, J.C. Principe, K.E. Hild II, “On-Line Entropy Manipulation: Stochastic Information Gradient”, IEEE Signal Processing Letters, vol. 10, no. 8, pp. 242-245, 2003.

[J11]      E.G. Larsson, D. Erdogmus, R. Yan, J.C. Principe, J.R. Fitzsimmons, “SNR-Optimality of Sum-of-Squares Reconstruction for Phased-Array Magnetic Resonance Imaging”, Journal of Magnetic Resonance, vol. 163, no. 1, pp. 121-123, 2003.

[J10]      D. Erdogmus, J.C. Principe, “Convergence Properties and Data Efficiency of the Minimum Error Entropy Criterion in ADALINE Training”, IEEE Transactions on Signal Processing, vol. 51, no. 7, pp. 1966-1978, 2003.

[J9]        D. Erdogmus, Y.N. Rao, K.E. Hild II, J.C. Principe, “Simultaneous Principal Component Extraction with Application to Adaptive Blind Multiuser Detection”, EURASIP Journal on Applied Signal Processing, vol. 2002, no. 12, pp. 1473-1484, 2002. (Special Issue on Multiuser Detection and Blind Estimation)

[J8]        D. Erdogmus, K.E. Hild II, J.C. Principe, “Blind Source Separation Using Renyi’s a-Marginal Entropies”, Neurocomputing, vol. 49, no. 1, pp. 25-38, 2002. (Special Issue on Blind Source Separation and Independent Component Analysis)

[J7]        D. Erdogmus, J.C. Principe, “Generalized Information Potential Criterion for Adaptive System Training”, IEEE Transactions on Neural Networks, vol. 13, no. 5, pp. 1035-1044, 2002.

[J6]        D. Erdogmus, J.C. Principe, “Insights on the Relationship between Probability of Misclassification and Information Transfer Through Classifiers”, International Journal of Computers, Systems and Signals, vol. 3, no. 1, pp. 40-54, 2002. (Invited Paper)

[J5]        D. Erdogmus, J.C. Principe, “An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems”, IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1780-1786, 2002. (Recipient of the IEEE Signal Processing Society 2003 Young Author Award)

[J4]        D. Erdogmus, J.C. Principe, K.E. Hild II, “Beyond Second-Order Statistics for Learning: A Pairwise Interaction Model for Entropy Estimation”, Natural Computing, vol. 1, no.1, pp. 85-108, 2002.

[J3]        I. Santamaria, D. Erdogmus, J.C. Principe, “Entropy Minimization for Supervised Digital Communications Channel Equalization”, IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1184-1192, 2002.

[J2]        D. Erdogmus, A. U. Genc, J.C. Principe, “A Neural Network Perspective to Extended Luenberger Observers”, Institute of Measurement and Control, vol. 35, pp. 10-16, 2002. (Special Feature on Recent Advances in Neural Networks, Part 2)

[J1]        K.E. Hild II, D. Erdogmus, J.C. Principe, “Blind Source Separation Using Renyi’s Mutual Information”, IEEE Signal Processing Letters, vol. 8, no. 6, pp. 174-176, 2001. (Corrections in vol. 10, no. 8, pp. 250, Aug 2003)

Conferences

[C251]   N. Akbar, M. Yarossi, M. Martinez-Gost, M.A. Sommer, M. Dannhauer, S. Rampersad, D. Brooks, E. Tunik, D. Erdogmus, “Maping Motor Cortex Stimulation to Muscle Responses: A Deep Learning Neural Network Modeling Approach”, PETRA, 2020.

[C250]   R. Faghihpirayesh, T. Imbiriba, M. Yarossi, E. Tunik, D. Brooks, D. Erdogmus, “Motor Cortex Mapping Using Active Gaussian Processes”, PETRA, 2020. Best Technical Paper Award

[C249]   M. Han, O. Ozdenizci, Y. Wang, T. Koike-Akino, D. Erdogmus, “Disentangled Adversarial Transfer Learning for Physiological Biosignals”, EMBC, 2020.

[C248]   T. Imbiriba, D.C. Cumpanasoiu, J. Heathers, S. Ioannidis, D. Erdogmus, M. Goodwin, “Biosensor Prediction of Aggression in Youth with Autism Using Kernel-based Methods”, PETRA, 2020.

[C247]   S.L. Jacobs-Skolik, D. Liang, D.H. Brooks, D. Erdogmus, M. Yarossi, E. Tunik, “A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation”, EMBC, 2020.

[C246]   A. Kocanaogullari, M. Akcakaya, B. Oken, D. Erdogmus, “Optimal Modality Selection Using Information Transfer Rate for Event Related Potential Driven Brain Computer Interfaces”, PETRA, 2020.

[C245]   J. Myhre, D. Erdogmus, “A Generic Unfolding Algorithm for Manifolds Estimated by Local Linear Approximations”, Diff CVML Workshop, CVPR, 2020.

[C244]   M. Sharif, D. Erdogmus, C. Amato, T. Padir, “Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning”, BioRob, 2020.

[C243]   A. Votta, Y. Gunay, B. Zylich, E.H. Skorina, R. Rameshwar, D. Erdogmus, C.D. Onal, “Kinematic Optimization of an Underactuated Anthromorphic Prosthetic Hand”, IROS, 2020.

[C242]   I. Yildiz, J. Dy, D. Erdogmus, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis, “Fast and Accurate Ranking Regression”, AISTATS, 2020.

[C241]   A. Demir, M. Yarossi, D. Hyde, M. Shafi, D. Brooks, D. Erdogmus, “Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit”, IEEE NER, 2019. DOI

[C240]   A. Demir, S. Eldeeb, M. Akcakaya, D. Erdogmus, “Dynamic System Identification for Guidance of Stimulation Parameters in Haptic Simulation Environments”, IEEE MLSP, 2019. DOI

[C239]   S. Eldeeb, J. Ting, D. Erdogmus, D. Weber, M. Akcakaya, “EEG-based Texture Classification During Active Touch”, IEEE MLSP, 2019. DOI

[C238]   M. Graziani, J.M. Brown, V. Andrearczyk, V. Tildiz, J.P. Campbell,. D. Erdogmus, S. Ioannidis, M.F. Chiang, J. Kalpathy-Cramer, H. Muller, “Improved Interpretability for Computer-aided Severity Assessment of Retinopathy of Prematurity”, SPIE CAD, 2019. DOI

[C237]   S.Y. Gunay, M. Yarossi, D.H. Brooks, E. Tunik, D. Erdogmus, “Transfer Learning Using Low-dimensional Subspaces for EMG-based Classification of Hand Posture”, IEEE NER, 2019. DOI

[C236]   Y. Guo, J. Dy, D. Erdogmus, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis, “Accelerated Experimental Design for Pairwise Comparisons”, SDM, 2019. DOI

[C235]   Y. Guo, J. Dy, D. Erdogmus, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis, “Variational Inference from Ranked Samples With Features”, ACML, 2019. DOI

[C234]   M. Han, S.Y. Gunay, I. Yildiz, P. Bonato, C.D. Onal, T. Padir, G. Schirner, D. Erdogmus, “From Hand-perspective Visual Information to Grasp Type Probabilities: Deep Learning Via Ranking Labels”, PETRA, 2019. DOI {Best Paper Award}

[C233]   T. Imbiriba, G. LaMountain, P. Wu, D. Erdogmus, P. Closas, “Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs”, IEEE CAMSAP, 2019.

[C232]   Y.M. Marghi, A. Kocanaogullari, M. Akcakaya, D. Erdogmus, “A History-based Stopping Criterion in Recursive Bayesian State Estimation”, ICASSP, 2019. DOI

[C231]   O. Ozdenizci, Y. Wang, T. Koise-Akino, D. Erdogmus, “Transfer Learning in Brain-Computer Interfaces With Adversarial Variational Autoencoders”, IEEE NER, 2019. DOI

[C230]   O. Ozdenizci, B. Oken, T. Memmott, M.Fried-Oken, D. Erdogmus, “Adversarial Feature Learning In Brain Interfacing: An Experimental Study On Eliminating Drowsiness Effects”, Graz BCI, 2019. DOI

[C229]   M. Sharif, D. Erdogmus, T. Padir, “Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection”, IEEE IRC, 2019. DOI

[C228]   P. Tian, Y. Guo, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, J. Dy, D. Erdogmus, S. Ioannidis, “A Severity Score for Retinopathy of Prematurity”, KDD, 2019. DOI

[C227]   A. Votta, S.Y. Gunay, D. Erdogmus, C. Onal, “Force-sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors”, IEEE CBM, 2019.

[C226]   K. Xu, S. Liu, P. Zhao, P.-Y. Chen, H. Zhang, Q. Fan, D. Erdogmus, Y. Wang, X. Lin, “Structured Adversarial Attack: Towards General Implementation and Better Interpretability”, ICLR, 2019. Link

[C225]   M. Yarossi, F. Quivira, M. Dannhauer, M.A. Sommer, D.H. Brooks, D. Erdogmus, E. Tunik, “An Experimental and Computational Framework for Modeling Multi-muscle Responses to Transcranial Magnetic Stimulation of the Human Motor Cortex”, IEEE NER, 2019. DOI

[C224]   M. Zandigohar, M. Han, D. Erdogmus, G. Schirner, “Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand”, Model-based Design of Cyber-Physical Systems (CyPhy), 2019.

[C223]   G. Eftekhari-Yazdi, H. Nezamfar, M. Moghadamfalahi, M. Akcakaya, B. Shafai, D. Erdogmus, “An Adaptive Proportional BCI-Controller for Linear Dynamic Systems”, WAC, 2018.

[C222]   Y. Guo, P. Tian, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, D. Erdogmus, J. Dy, S. Ioannidis, “Experimental Design Under the Bradley-Terry Model”, IJCAI, 2018.

[C221]   A. Kocanaogullari, F. Quivira, D. Erdogmus, “Incorporating Temporal Dependency in ERP-based BCI”, ISBI, 2018.

[C220]   Y.M. Marghi, P. Gonzalez-Navsarro, B. Azari, D. Erdogmus, “A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences”, EMBC, 2018.

[C219]   J. McLean, F. Quivira, D. Erdogmus, “Improved Classification in Tactile BCIs Using a Noisy Label Model”, ISBI, 2018. {Undergrad first author}

[C218]   O. Ozdenizci, S.Y. Gunay, F. Quivira, D. Erdogmus, “Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces”, EMBC, 2018.

[C217]   O. Ozdenizci, C. Cumpanasoiu, C. Mazefsky, M. Siegel, D. Erdogmus, S. Ioannidis, M.S. Goodwin, “Time-Series Prediction of Proximal Aggression Onset in Minimally Verbal Youth with Autism Disorder Using Physiological Biosignals”, EMBC, 2018.

[C216]   M.S. Goodwin, O. Ozdenizci, C. Cumpanasoiu, P. Tian, Y. Guo, A. Stedman, C. Peura, C. Mazefsky, M. Siegel, S. Erdogmus, S. Ioannidis, “Predicting Imminent aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals”, Pervasive Health, 2018.

[C215]   F. Quivira, T. Koike-Akino, Y. Wang, D. Erdogmus, “Translating sEMG Signals to Continuous Hand Poses Using Recurrent Neural Networks”, BHI, 2018.

[C214]   S. Salehi, S. R. Hashemi, C. Velasco-Annis, A. Ouaalam, J.A. Estroff, D. Erdogmus, S.K. Warfield, A. Gholipour, “Real-time Automatic Fetal Brain Extraction in Fetal MRI By Deep Learning”, ISBI, 2018.

[C213]   Y. Xiang, M. Akcakaya, S. Sen, D. Erdogmus and A. Nehorai, “Target Tracking Via Recursive Bayesian State Estimation in Radar Networks,” Asilomar SSC, Pacific Grove, CA, 2017. DOI

[C212]   S. Salehi, D. Erdogmus, A. Gholipour, “Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks”, MLMI 2017.

[C211]   O. Ozdenizci, F. Quivira, D. Erdogmus, “Information Theoretic Feature Projection for Single-Trial Brain-Computer Interfaces”, MLSP 2017.

[C210]   S. Salehi, M. Moghadamfalahi, H. Nezamfar, M. Haghighi, D. Erdogmus, “Context-Aware Recursive Bayesian Graph Traversal in BCIs”, EMBC 2017.

[C209]   S. Salehi, M. Moghadamfalahi, F. Quivira, A. Piers, H. Nezamfar, D. Erdogmus, “Decoding Complex Imagery Hand Gestures”, EMBC 2017.

[C208]   Y. Marghi, A.B. Farjadian, S.C. Yen, D. Erdogmus, “EEG-guided Robotic Mirror Therapy System for Lower Limb Rehabilitation”, EMBC 2017. {Best student paper finalist}

[C207]   S.Y. Gunay, F. Quivira, D. Erdogmus, “Muscle Synergy-based Grasp Classification for Robot Hand Prosthetics”, PETRA 2017.

[C206]   M. Haghighi, M. Moghadamfalahi, H. Nezamfar, M. Akcakaya, D. Erdogmus, “Toward Brain Interface for Tracking Attended Auditory Sources”, MLSP 2016. {This paper may have been excluded from IEEE Xplore due to author-no-show.}

[C205]   J. Sourati, S.K. Kazmierczak, M. Akcakaya, J.G. Dy, T.K. Leen, D. Erdogmus, “Assessing Subsets of Analytes in Context of Detecting Lab Errors”, EMBC 2016.

[C204]   P. Tian, E. Ataer-Cansizoglu, J. Kalpathy-Cramer, S. Ostmo, K. Jonas, R.V. P. Chan, J.P. Campbell, M.F. Chiang, D. Erdogmus, “Toward a Severity Index for ROP: An Unsupervised Approach”, EMBC, 2016.

[C203]   P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya, D. Erdogmus, “A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted BCI”, HCI, Jul 2016. (Invited Special Session Paper)

[C202]   B. Roig-Solvas, J.P. Bardhan, D. Erdogmus, D.H. Brooks, L. Makowski, “A Framework to Optimize Protein Structure from Solution Scattering Using ADMM and an Elastic Subdomain Network”, ISBI, Apr 2016.

[C201]   S. Guler, M. Dannhauer, B. Erem, R. MacLeod, D. Tucker, S. Turovets, P. Luu, W. Meleis, D.H. Brooks, “Optimizing Stimulus Patterns for Dense Array TDCS with Fewer Sources than Electrodes using a Branch and Bound Algorithm”, ISBI, Apr 2016.

[C200]   H. Nezamfar, S. Salehi, D. Erdogmus, “Stimuli with Opponent Colors and Higher Bit Rate Enable Higher Accuracy for c-VEP BCI”, SPMB, Philedelphia, PA, Dec 2015.

[C199]   M. Moghadamfalahi, J. Sourati, M. Akcakaya, H. Nezamfar, M. Haghighi, D. Erdogmus, “Active Learning for Efficient Querying from a Human Oracle with Noisy Response in a Language Model Assisted Brain Computer Interface”, MLSP, Boston, MA, 2015.

[C198]   A.E. Onuk, M. Akcakaya, J. Bardhan, D. Erdogmus, D.H. Brooks, “Maximum A Posteriori Estimation of Relative Abundances of Protein Conformations”, MLSP, Boston, MA, 2015.

[C197]   M. Shaker, D. Erdogmus, J. Dy, S. Bouix, “Sparse Model Learning for High Dimensional Diffusion MRI Data in Traumatic Brain Injury”, MLSP, Boston, MA, 2015.

[C196]   M. Shaker, M.D. Kaba, D. Erdogmus, “Manifold Unwrapping Using Critical Surfaces”, MLSP, Boston, MA, 2015.

[C195]   C J. Sourati, D. Erdogmus, M. Akcakaya, S.C. Kazmierczak, T.K. Leen, “A Novel Delta Check Method for Detecting Laboratory Errors”, MLSP, Boston, MA, 2015.

[C194]   M. Moghadamfalahi, P. Gonzalez-Navarro, M. Akcakaya, U. Orhan, D. Erdogmus, “The Effect of Limiting Trial Count in Context Aware BCIs: A Case Study with Language Model Assisted Spelling”, HCI, Aug 2015. (AugCog Session Invited Paper)

[C193]   E. Ataer-Cansizoglu, Y. Taguchi, J. Kalpathy-Cramer, M.F. Chiang, D. Erdogmus, “Analysis of Shape Assumptions in 3d Reconstruction of Retina from Multiple Fundus Images”, ISBI, Brooklyn, NY, Apr 2015.

[C192]   V. Bolon-Canedo, E. Ataer-Cansizoglu, D. Erdogmus, J. Kalpathy-Cramer, M.F. Chiang, “A GMM-based Feature Extraction Technique for the Automated Diagnosis of Retinopathy of Prematurity”, ISBI, Brooklyn, NY, Apr 2015.

[C191]   U. Orhan, D. Fernandez-Canellas, M. Akcakaya, D.H. Brooks, D. Erdogmus, “Utilization of Temporal Trial Dependency in ERP based BCIs”, Proceedings of Asilomar SSC, p. 26-30, Nov 2014. DOI

[C190]   M. Shaker, J.N. Myhre, M.D. Kaba, D. Erdogmus, “Invertible Nonlinear Cluster Unwrapping”, MLSP, p. 1-6, Sep 2014. DOI

[C189]   M. Goodwin, M. Haghighi, Q. Tang, M. Akcakaya, D. Erdogmus, S. Intille, “Moving Towards a Real-time System for Automatically Recognizing Stereotypical Motor Movements in Individuals on the Autism Spectrum Using Wireless Accelerometry”, Proceedings of UBICOMP, p. 861-872, Sep 2014. DOI

[C188]   M. Haghighi, M. Akcakaya, U. Orhan, D. Erdogmus, B. Oken, M. Fried-Oken, “Initial Assessment of Artifact Filtering for RSVP Keyboard^TM”, SPMB 2013, pp. 1-5, Brooklyn, NY, Dec 2013. DOI [PMID: tbd]

[C187]   A. Ahani, H. Wahbeh, H. Nezamfar, M. Miller, D. Erdogmus, B. Oken, “Change in Physiological Signals During Mindfulness Meditation”, NER 2013, pp. 1378-1381, San Diego, CA, Nov 2013. DOI [PMID: tbd]

[C186]   A. Fowler, B. Roark, U. Orhan, D. Erdogmus, M. Fried-Oken, “Improved Inference and Autotyping in EEG-based BCI Typing Systems”, ASSETS 2013, Bellevue, WA, Oct 2013. DOI [PMID: tbd]

[C185]   N. Ghadar, X. Zhang, K. Li, D. Erdogmus, G. Thibault, A. Bayesteh, I. Shafran, K. Coleman, K.A. Grant, “Visual Hull Reconstruction for Automated Primate Behavior Observation”, Proc. MLSP 2013, pp. 1-6, Sep 2013. DOI [PMID: tbd]

[C184]   M. Higger, M. Akcakaya, U. Orhan, D. Erdogmus, “Failure Robust Sensor Fusion for RSVP Keyboard”, Proc. HCI (Foundations of Augmented Cognition, LNCS vol. 8027, pp. 443-449), Jul 2013. (Augmented Cognition Special Session Invited Paper) DOI [PMID: tbd]

[C183]   M. Fried-Oken, U. Orhan, B. Roark, D. Erdogmus, A. Fowler, M. Miller, A. Mooney, B. Oken, B. Peters, “The RSVP Keyboard^TM: A Brain-Computer Interface for Communication by People with Locked-In Syndrome”, Proc. RESNA, Jun 2013.

[C182]   S. You, M. Massey, N. Shapiro, D. Erdogmus, “A novel Line Detection Method in Space-time Images for Microvascular Flow Analysis in Sublingual Microcirculatory Videos”, Proc. ISBI 2013, pp. 828-831, San Francisco, CA, Apr 2013. DOI

[C181]   J. Sourati, M. Rajadhyaksha, J.G. Dy, D. Erdogmus, D.H. Brooks, “Automated Localization of Wrinkles and the Dermo-Epidermal Junction in Obliquely-Oriented Reflectance Confocal Microscopic Images of Human Skin”, SPIE Optical Imaging 2013, Jan 2013. DOI

[C180]   N. Ghadarghadar, E. Ataer-Cansizoglu, P. Zhag, D. Erdogmus, “A Sift-Point Distribution-Based Method for Head Pose Estimation”, Proceedings of MLSP 2012, Sep 2012. LINK

[C179]   P. Zhang, E. Ataer-Cansizoglu, D. Erdogmus, “Local Linear Approximation of Principal Curve Projections”, Proceedings of MLSP 2012, Sep 2012. LINK

[C178]   Y. Huang, K.E. Hild, M. Pavel, S. Mathan, D. Erdogmus, “Neural Correlates of Visual Perception in Rapid Serial Visual Presentation Paradigms”, Proceedings of MLSP 2012, Sep 2012. LINK

[C177]   J. Sourati, D.H. Brooks, J.G. Dy, D. Erdogmus, “Constrained Spectral Clustering for Image Segmentation”, Proceedings of MLSP 2012, Sep 2012. LINK

[C176]   S. You, E. Ataer-Cansizoglu, D. Erdogmus, M. Massey, N. Shapiro, “Microvascular Blood Flow Estimation in Sublingual Microcirculation Videos Based on a Principal Curve Tracing Algorithm”, Proceedings of MLSP 2012, Sep 2012. LINK

[C175]   U. Orhan, A. Li, D. Erdogmus, “Online Regularized Discriminant Analysis”, Proceedings of MLSP 2012, Sep 2012. LINK

[C174]   Bekir Dizdaroglu, Esra Ataer-Cansizoglu, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus, “Level Sets for Retinal Vasculature Segmentation Using Seeds from Ridges and Edges from Phase Maps”, Proceedings of MLSP 2012, Sep 2012. LINK

[C173]   Esra Ataer-Cansizoglu, Sheng You, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus, “Observer and Feature Analysis on Diagnosis of Retinopathy of Prematurity”, Proceedings of MLSP 2012, Sep 2012. LINK

[C172]   U. Orhan, D. Erdogmus, B. Roark, B. Oken, S. Purwar, K.E. Hild, A. Fowler, M. Fried-Oken, “Improved Accuracy Using Recursive Bayesian Estimation Based Language Model Fusion in ERP-based BCI Typing Systems”, Proceedings of EMBC 2012, pp. 2497-2500, Aug 2012.     LINK

[C171]   T. Leen, D. Erdogmus, S. Kazmierczak, “Statistical Error Detection for Clinical Laboratory Tests”, Proceedings of EMBC 2012, pp. 2720-2723, Aug 2012. LINK

[C170]   E. Bas, E. Ataer-Cansizoglu, D. Erdogmus, J. Kalpathy-Cramer, “Retinal Vasculature Segmentation Using Principal Spanning Forests”, Proceedings of ISBI 2012, May 2012. (Special Session Invited Paper)

[C169]   J. Sourati, D.H. Brooks, J.G. Dy, E. Ataer-Cansizoglu, D. Erdogmus, M. Rajadhyaksha, “Unsupervised Wrinkle Detection in Reflectance Confocal Mixroscopy Images of the Human Skin”, Proceedings of ICASSP 2012, Mar 2012.

[C168]   U. Orhan, K.E. Hild II, D. Erdogmus, B. Roark, B. Oken, M. Fried-Oken, “RSVP Keyboard: An EEG-based Typing Interface”, Proceedings of ICASSP 2012, Mar 2012.

[C167]   E. Ataer-Cansizoglu, D. Erdogmus, “A Mode-based Clustering Algorithm without Mode Seeking”, Proceedings of ICASSP 2012, Mar 2012.

[C166]   Umut Orhan, Deniz Erdogmus, Kenneth E. Hild II, Brian Roark, Barry Oken, Melanie Fried-Oken, “Context Information Significantly Improves Brain Computer Interface Performance – a Case Study on Text Entry Using a Language Model Assisted BCI”, Proceedings of Asilomar SSC, Oct 2011.

[C165]   E. Ataer-Cansizoglu, N. Ghadarghadar, R. Zareian, E. Bas, J.W. Ruberti, D. Erdogmus, “Motion Flow Analysis in Cell Videos using a Multi-level Clustering Method”, Proceedings of EMBC’11, Boston, MA, Sep 2011.

[C164]   U. Orhan, D. Erdogmus, B. Roark, S. Purwar, K.E. Hild, B. Oken, H. Nezamfar, M. Fried-Oken, “Fusion with Language Models Improves Spelling Accuracy for ERP-based Brain Computer Interface Spellers”, Proceedings of EMBC’11, Boston, MA, Sep 2011.

[C163]   S. You, E. Bas, E. Ataer-Cansizoglu, J. Kalpathy-Cramer, D. Erdogmus, “Principal Curve-based Semi-automatic Segmentation of Organs in 3D-CT”, Proceedings of EMBC’11, Boston, MA, Sep 2011.

[C162]   S. Kurugol, E. Bas, D. Erdogmus, J.G. Dy, D.H. Brooks, “Principal Curve Tracing for Centerline Extraction to Improve 3D Level Set Esophagus Segmentation in CT Images”, Proceedings of EMBC’11, Boston, MA, Sep 2011.

[C161]   S. You, E. Bas, D. Erdogmus, “Extraction of Samples from Airway and Vessel Trees in 3D Lung CT Based on a Multi-scale Principal Curve Tracing Algorithm”, Proceedings of EMBC’11, Boston, MA, Sep 2011.

[C160]   S. You, E. Bas, J. Kalpathy-Kramer, D. Erdogmus, “Principal Curve Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases”, Proceedings of HISB’11, Jul 2011.

[C159]   K.E. Hild II, U. Orhan, D. Erdogmus, B. Roark, B. Oken, S. Purwar, H. Nezamfar, M. Fried-Oken, “An ERP-based Brain-Computer Interface for Text Entry using Rapid Serial Visual Presentation and Language Modeling”, Proceedings of ACL’11, Jun 2011. (http://www.aclweb.org/anthology-new/)

[C158]   H. Nezamfar, U. Orhan, D. Erdogmus, K.E. Hild, S. Purwar, B. Oken, M.Fried-Oken, “On Visually Evoked Potentials in EEG Induced by Multiple Pseudorandom Binary Sequences for Brian Computer Interface Design”, ICASSP’2011, May 2011.

[C157]   E. Bas, D. Erdogmus, “Polytope Kernel Density Estimates on Delaunay Graphs”, ICASSP’2011, May 2011.

[C156]   E. Bas, D. Erdogmus, “Sampling on Locally Defined Principal Manifolds”, ICASSP’2011, May 2011.

[C155]   E. Bas, N. Ghadarghadar, D. Erdogmus, “Automated Extraction of Blood Vessel Networks from 3D Microscopy Image Stacks via Multi-scale Principal Curve Tracing”, ISBI 2011, Apr 2011.

[C154]   E. Bas, D. Erdogmus, “A Ridge Score with Application to Piecewise Linear Neural Reconstruction”, ISBI 2011, Apr 2011.

[C153]   S. You, E. Ataer-Cansizoglu, D. Erdogmus, J. Tanyi, J. Kalpathy-Cramer, “A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning”, ICMLA’2010, Bethesda, Maryland, Dec 2010. (Special Session on Applications in Radiation Therapy).

[C152]   S. Dasgupta, M. Fanton, J. Pham, M. Willard, H. Nezamfar, B. Shafai, D. Erdogmus, “Brain Controlled Robotic Platform Using Steady State Visual Evoked Potentials Acquired by EEG”, AsilomarSSC’2010, Asilomar, California, Nov 2010. (Undergraduate coauthors)

[C151]   D. Erdogmus, “Brain-Computer Interfaces: A Timely Opportunity for Project-based Learning”, NAE Frontiers in Engineering Education Workshop, Irvine, California, Dec 2010. (Invited by the National Academy of Engineering)

[C150]   E. Bas, D. Erdogmus, “Piecewise Linear Cylinder Models for 3-Dimensional Axon Segmentation in Brainbow Imagery”, ISBI’2010, Rotterdam, Netherlands, Apr 2010.

[C149]   T. Lan, D. Erdogmus, L. Black, J. van Santen, “Identifying Informative Features for ERP Speller Systems based on RSVP Paradigm”, ESANN’2010, Bruges, Belgium, Apr 2010.

[C148]   E. Bas, D. Erdogmus, “Principle Curve Tracing”, ESANN’2010, Bruges, Belgium, Apr 2010.

[C147]   J. Zupanc, E. Bas, D. Erdogmus, “Analysis of Lipid Vesicle Populations from Microscopy Video Sequences”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[C146]   T. Lan, D. Erdogmus, L. Black, J. van Santen, “A Comparison of Different Dimensionality Reduction and Feature Selection Methods for Single Trial ERP Detection”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[C145]   K.E. Hild II, S. Mathan, Y. Huang, D. Erdogmus, M. Pavel, “Optimal Set of EEG Electrodes for Rapid Serial Visual Presentation”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[C144]   E. Ataer-Cansizoglu, E. Bas, M.A. Yousus, S. You, W. D. D’Souza, D. Erdogmus, “Towards Respiration Management in Radiation Treatment of Lung Tumors: Transferring Regions of Interest from Planning CT to Kilovoltage X-ray Images”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[C143]   S. van Vaerenbergh, I. Santamaria, P.E. Barbano, U. Ozertem, D. Erdogmus, “Path-based Spectral Clustering for Decoding Fast Time-varying MIMO Channels”, Proceedings of MLSP 2009, pp. 1-6, Grenoble, France, Sep 2009.

[C142]   M.F. Talu, D. Erdogmus, “A Hybrid Object Tracking Method for Scaled and Oriented Objects”, Proceedings of INISTA 2009, Trabzon, Turkey, Jun 2009.

[C141]   M.F. Talu, D. Erdogmus, “Real-time Face and Hand tracking with Correlation”, Proceedings of INISTA 2009, Trabzon, Turkey, Jun 2009.

[C140]   Y. Huang, D. Erdogmus, M. Pavel, K.E. Hild II, S. Mathan, “A Hybrid Generative/Discriminative Method for EEG Evoked Potential Detection”, Proceedings of NER 2009, pp. 283-286, Antalya, Turkey, Apr 2009.

[C139]   T. Lan, Y. Huang, D. Erdogmus, “A Comparison of Temporal Windowing Schemes for Single-trial ERP Detection”, Proceedings of NER 2009, pp. 331-334, Antalya, Turkey, Apr 2009.

[C138]   E. Sejdic, U. Ozertem, I. Djurovic, D. Erdogmus, “A New Approach for the Reassignment of Time-Frequency Representations”, Proceedings of ICASSP 2009, pp. 2997-3000, Taipei, Taiwan, Apr 2009.

[C137]   Y. Huang, D. Erdogmus, M. Pavel, K.E. Hild II, M. Santosh, “Target Detection Using Incremental Learning on Single-trial Evoked Response”, Proceedings of ICASSP 2009, pp. 481-484, Taipei, Taiwan, Apr 2009.

[C136]   J. Kalpathy-Cramer, U. Ozertem, W. Hersh, M. Fuss, D. Erdogmus, “Robust Segmentation Using Non-parametric Snakes with Multiple Cues for Applications in Radiation Oncology”, Digital Proceedings of SPIE Medical Imaging 2009 – Image Processing, vol. 7259, Lake Bueno Vista, Florida, Feb 2009. (http://spiedigitallibrary.aip.org/)

[C135]   J. Kalpathy-Cramer, U. Ozertem, M. Fuss, D. Erdogmus, “Semi-supervised Segmentation Using Non-parametric Snakes for 3D-CT Applications in Radiation Oncology”, Proceedings of MLSP’08, pp. 109-114, Oct 2008.

[C134]   S. Mathan, D. Erdogmus, Y. Huang, M. Pavel, P. Ververs, J. Carciofini, M. Dorneich, S. Whitlow, “Rapid Image Analysis Using Neural Signals”, Proceedings of CHI’08, pp. 3309-3314, Florence, Italy, Apr 2008. 38%

[C133]   K.E. Hild, D. Erdogmus, S. Mathan, M. Pavel, “Trellis-based Circle Detection”, Proceedings of MLSP’08, pp. 211-215, Cancun, Mexico, Oct 2008.

[C132]   U. Ozertem, D.  Erdogmus, O. Arikan, “Piecewise Smooth Signal Denoising via Principal Curve Projections”, Proceedings of MLSP’08, pp. 426-431, Cancun, Mexico, Oct 2008.

[C131]   Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, “Mixed Effects Models for EEG Evoked Response Detection”, Proceedings of MLSP’08, pp. 91-96, Cancun, Mexico, Oct 2008.

[C130]   U. Ozertem, D. Erdogmus, “Principal Graphs and Piecewise Linear Subspace Constrained Mean-Shift”, Proceedings of MLSP’08, pp. 438-443, Cancun, Mexico, Oct 2008.

[C129]   T. Lan, D. Erdogmus, S.J. Hayflick, U.J. Szumowski, “Phase Unwrapping and Background Correction in MRI”, Proceedings of MLSP’08, pp. 239-243, Cancun, Mexico, Oct 2008.

[C128]   Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Detecting EEG Evoked Responses for Target Image Search with Mixed Effect Models”, Proceedings of EMBC’08, Vancouver, BC, Aug 2008.

[C127]   E. Bas, D. Erdogmus, U. Ozertem, M.  Pavel, “Towards Fish-Eye Camera Based In-Home Activity Assessment”, Proceedings of EMBC’08, Vancouver, BC, Aug 2008.

[C126]   Z. Lu, T.K.  Leen, Y. Huang, D. Erdogmus, “A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances”, Proceedings of ICML’08, pp. 624-631, Helsinki, Finland, Jul 2008.

[C125]   O. Kyrgyzov, D. Erdogmus, “Geometric Structure of Sum-of-Rank-1 Decompositions for n-Dimensional order-p Symmetric Tensors”, Proceedings of ISCAS’08, pp. 1340-1343, Seattle WA, May 2008.

[C124]   U. Ozertem, D. Erdogmus, “Signal Denoising using Principal Curves: Application to Time Warping”, Proceedings of ICASSP’08, pp. 3709-3712, Las Vegas NV, Mar 2008.

[C123]   U. Ozertem, D. Erdogmus, M.A. Carreira-Perpinan, “Density Geodesics for Similarity Clustering”, Proceedings of ICASSP’08, pp. 1977-1980, Las Vegas NV, Mar 2008.

[C122]   Y. Huang, D. Erdogmus, Z. Lu, T.K. Leen, “Detecting Mild Cognitive Loss with Continuous Monitoring of Medication Adherence”, Proceedings of ICASSP’08, pp. 609-612, Las Vegas NV, Mar 2008.

[C121]   Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Large-scale Image Database Triage via EEG Evoked Responses”, Proceedings of ICASSP’08, pp. 429-432, Las Vegas NV, Mar 2008.

[C120]   U. Ozertem, D. Erdogmus, “Local Conditions for Critical and Principal Manifolds”, Proceedings of ICASSP’08, pp. 1893-1896, Las Vegas NV, Mar 2008.

[C119]   D. Erdogmus, U. Ozertem, “Nonlinear Coordinate Unfolding via Principal Curve Projections with Application to Nonlinear BSS”, Proceedings of ICONIP 2007, Part II, pp. 488-497, Kitakyushu, Japan, Nov 2007 (published in 2008). (Invited paper for the Special Session on Recent Advances in Blind Source Separation; Barros and Ohnishi)

[C118]   S. Han, S. Rao, D. Erdogmus, J.C. Principe, “A Novel Switching Scheme Between Adaptive Information Algorithms”, Proceedings of IJCNN 2007, pp. 2840-2845, Orlando, Florida, USA, Jul 2007.

[C117]   U. Ozertem, A. Gruber, D. Erdogmus, “Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient Vector Flow and Kernel Annealing”, Proceedings of IJCNN 2007, pp. 1397-1400, Orlando, Florida, USA, Jul 2007.

[C116]   U. Ozertem, D. Erdogmus, “A Nonparametric Approach for Active Contours”, Proceedings of IJCNN 2007, pp. 1407-1410, Orlando, Florida, USA, Jul 2007.

[C115]   Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “A Fusion Approach for Image Triage Using Single Trial ERP Detection”, Proceedings of NER 2007, pp. 473-476, Kohala Coast, Hawaii, USA, May 2007.

[C114]   M. Pavel, T. Hayes, I. Tsay, D. Erdogmus, A. Paul, N. Larimer, H. Jimison, J. Hunt, “Continuous Assessment of Gait Velocity in Parkinson’s Disease from Unobtrusive Measurements”, Proceedings of NER 2007, pp. 700-703, Kohala Coast, Hawaii, USA, May 2007.

[C113]   D. Erdogmus, U. Ozertem, “Self-Consistent Locally Defined Principal Surfaces”, Proceedings of ICASSP 2007, vol. 2, pp. 549-552, Honolulu, Hawaii, USA, Apr 2007.

[C112]   P. Pokharel, U. Ozertem, D. Erdogmus, J.C. Principe, “Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices”, Proceedings of ICASSP 2007, vol. 2, pp. 645-648, Honolulu, Hawaii, USA, Apr 2007.

[C111]   D. Erdogmus, U. Ozertem, “Information Regularized Decision Fusion for Target Localization with Binary Sensor Networks”, Proceedings of ICASSP 2007, vol. 2, pp. 1021-1024, Honolulu, Hawaii, USA, Apr 2007.

[C110]   R. Jenssen, T. Eltoft, M. Girolami, D. Erdogmus, “Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm”, Advances in NIPS 19, pp. 633-640, 2006. (NIPS’06)

[C109]   S. Mathan, P. Ververs, M. Dorneich, S. Whitlow, J. Carciofini, D. Erdogmus, M. Pavel, C. Huang, T. Lan, A. Adami, “Neurotechnology for Image Analysis: Searching for Needles in Haystacks Efficiently”, Proceedings of AUGCOG 2006 (jointly with HFES 2006), pp. ???, San Francisco, California, USA, Oct 2006. (Best Paper Award)

[C108]   Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks”, Proceedings of EMBC 2006, pp. 3369-3372, New York City, New York, USA, Sep 2006.

[C107]   U. Ozertem, D. Erdogmus, “Maximum Entropy Approximation for Kernel Machines”, Proceedings of MLSP 2006, pp. 349-352, Maynooth, Ireland, Sep 2006.

[C106]   U. Ozertem, D. Erdogmus, “Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution”, Proceedings of IJCNN 2006, pp. 4892-4897, Vancouver, British Columbia, Canada, Jul 2006.

[C105]   Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks”, Proceedings of IJCNN 2006, pp. 1136-1142, Vancouver, British Columbia, Canada, Jul 2006.

[C104]   T. Lan, D. Erdogmus, U. Ozertem, Y. Huang, “Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection”, Proceedings of IJCNN 2006, pp. 5034-5039, Vancouver, British Columbia, Canada, Jul 2006.

[C103]   T. Lan, D. Erdogmus, M. Pavel, S. Mathan, “Automatic Frequency Band Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces”, Proceedings of IJCNN 2006, pp. 4650-4655, Vancouver, British Columbia, Canada, Jul 2006.

[C102]   R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm”, Proceedings of IJCNN 2006, pp. 4904-4911, Vancouver, British Columbia, Canada, Jul 2006.

[C101]   U. Ozertem, D. Erdogmus, “Mean Shift Spectral Clustering for Perceptual Image Segmentation”, Proceedings of ICASSP 2006, vol. 2, Toulouse, France, May 2006. (Best Student Paper Finalist)

[C100]   D. Erdogmus, M.A. Carreira Perpinan, U. Ozertem, “Kernel Density Estimation, Affinity-Based Clustering, and Typical Cuts”, Proceedings of ICASSP 2006, vol. 5, Toulouse, France, May 2006.

[C99]     O. P. Pokharel, J.W. Xu, D. Erdogmus, J.C. Principe, “A Closed Form Solution for a Nonlinear Wiener Filter”, Proceedings of ICASSP 2006, vol. 3, Toulouse, France, May 2006.

[C98]     S. Mathan, S. Whitlow, D. Erdogmus, M. Pavel, P. Ververs, M. Dorneich, “Neurophysiologically Driven Image Triage: A Pilot Study”, Proceedings of SIGCHI 2006, Montreal, Quebec, Canada, Apr 2006.

[C97]     Frederic Vrins, D. Erdogmus, C. Jutten, M. Verleysen, “Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS)”, Proceedings of ICA 2006, pp. 747-754, Charleston, South Carolina, USA, Mar 2006.

[C96]     U. Ozertem, D. Erdogmus, T. Lan, “Recursive Generalized Eigendecomposition for Independent Components Analysis”, Proceedings of ICA 2006, pp. 198-205, Charleston, South Carolina, USA, Mar 2006.

[C95]     T. Lan, Y. Huang, D. Erdogmus, “A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Featue Ranking”, Proceedings of ICA 2006, pp. 823-830, Charleston, South Carolina, USA, Mar 2006.

[C94]     R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Optimizing the Cauchy-Schwarz PDF Divergence for Information Theoretic, Nonparametric Clustering”, Proceedings of EMMCVPR 2005, pp. 34-45, St. Augustine, Florida, Nov 2005.

[C93]     A. Hegde, D. Erdogmus, J.C. Principe, “Spatiotemporal Clustering of Epileptic ECOG”, Proceedings of EMBC’05, pp. 4199-4202, Shanghai, China, Sep 2005.

[C92]     T. Lan, D. Erdogmus, A. Adami, M. Pavel, S. Mathan, “Salient EEG Channel Selection in Brain Computer Interfaces by Mutual Information Maximization”, Proceedings of EMBC’05, Shanghai, China, Sep 2005.

[C91]     S. Mathan, N. Mazaeva, S. Whitlow, A. Adami, D. Erdogmus, T. Lan, M. Pavel, “Sensor-Based Cognitive State Assessment in a Mobile Environment”, Proceedings of AUGCOG’05 (jointly with HCII’05), pp. ???, Las Vegas, Nevada, Jul 2005.

[C90]     J. Zhao, D. Erdogmus, C. Huang, D. Wu, Y. Fang, “An Adaptive Motion Estimation Scheme Using Maximum Mutual Information Criteria”, Proceedings of EUSIPCO’05, Antalya, Turkey, Sep 2005.

[C89]     I. Santamaria, D. Erdogmus, R. Agrawal, J.C. Principe, “Robust Matched Filtering in the Feature Space”, Proceedings of EUSIPCO’05, Antalya, Turkey, Sep 2005.

[C88]     U. Ozertem, D. Erdogmus, I. Santamaria, “Detection of Nonlinearly Distorted Signals Using Mutual Information”, Proceedings of EUSIPCO’05, Antalya, Turkey, Sep 2005.

[C87]     T. Lan, A. Adami, D. Erdogmus, M. Pavel, “Estimating Cognitive State Using EEG Signals”, Proceedings of EUSIPCO’05, Antalya, Turkey, Sep 2005.

[C86]     U. Ozertem, D. Erdogmus, “Supervised Neural Network Training Using the Minimum Error Entropy Criterion with Variable-Size and Finite-Support Kernel Estimates”, Proceedings of MLSP’05, pp. 67-72, Mystic, Connecticut, Sep 2005.

[C85]     A. Hegde, T. Lan, D. Erdogmus, “Order Statistics Based Estimator for Renyi’s Entropy”, Proceedings of MLSP’05, pp. 335-339, Mystic, Connecticut, Sep 2005.

[C84]     S. Han, S. Rao, D. Erdogmus, J.C. Principe, “An Improved Minimum Error Entropy Criterion with Self-Adjusting Step-Size”, Proceedings of MLSP’05, pp. 317-322, Mystic, Connecticut, Sep 2005.

[C83]     U. Ozertem, D. Erdogmus, “Spectral Clustering with Mean Shift Preprocessing”, Proceedings of MLSP’05, pp. 73-78, Mystic, Connecticut, Sep 2005.

[C82]     T. Lan, D. Erdogmus, “Local Linear ICA for Mutual Information Estimation in Feature Selection”, Proceedings of MLSP’05, pp. 3-8, Mystic, Connecticut, Sep 2005.

[C81]     U. Ozertem, D. Erdogmus, “Maximally Discriminative Spectral Feature Projections Using Mutual Information”, IJCNN’05, vol. 1, pp. 208-213, Montreal, Quebec, Aug 2005.

[C80]     T. Lan, D. Erdogmus, A. Adami, M. Pavel, “Feature Selection by Independent Component Analysis and Mutual Information Maximization in EEG Signal Classification”, Proceedings of IJCNN’05, vol. 5, pp. 3011-3016, Montreal, Quebec, Aug 2005.

[C79]     J.W. Xu, D. Erdogmus, J.C. Principe, “Minimum Error Entropy Luenberger Observer”, Proceedings of ACC’05, pp. 1923-1928, Portland, Oregon, Jun 2005.

[C78]     D. Erdogmus, A. Adami, M. Pavel, T. Lan, S. Mathan, S. Whitlow, M. Dorneich, “Cognitive State Estimation Based on EEG for Augmented Cognition”, Proceedings of NER’05, pp. 566-569, Arlington, Virginia, Mar 2005.

[C77]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian Spectral Classifier”, Proceedings of ICASSP’05, vol. 5, pp. 325-328, Philadelphia, Pennsylvania, Mar 2005. (Best Student Paper Award)

[C76]     D. Erdogmus, Y.N. Rao, J.C. Principe, “Supervised Training of Adaptive Systems with Partially Labeled Data”, Proceedings of ICASSP’05, vol. 5, pp. 321-324, Philadelphia, Pennsylvania, Mar 2005.

[C75]     R. Yan, G. He, D. Erdogmus, S.P. Kim, J.C. Principe, Y. Liu, “Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection”, Proceedings of ICASSP’05, vol. 2, pp. 473-476, Philadelphia, Pennsylvania, Mar 2005.

[C74]     Y.N. Rao, S.P. Kim, J.C. Sanchez, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A. Nicolelis, “Learning Mappings in Brain Machine Interfaces with Echo State Networks”, Proceedings of ICASSP’05, vol. 5, pp. 233-236, Philadelphia, Pennsylvania, Mar 2005.

[C73]     J.W. Xu, D. Erdogmus, R. Jenssen, Jose C. Principe, “An Information Theoretic Perspective to Kernel Independent Components Analysis”, Proceedings of ICASSP’05, vol. 5, pp. 249-252, Philadelphia, Pennsylvania, Mar 2005.

[C72]     J.R. Fitzsimmons, R. Yan, D. Erdogmus, “MRI Image Reconstruction via Homomorphic Signal Processing”, Proceedings of ICASSP’05, vol. 2, pp. 121-124, Philadelphia, Pennsylvania, Mar 2005.

[C71]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space”, Advances in NIPS’04, pp. 625-632, Vancouver, BC, Canada, Dec 2004.

[C70]     S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Principe, “Tracking of Multivariate Time-Varying Systems Based on On-Line Variable Selection”, Proceedings of MLSP’04, pp. 123-132, Sao Luis, Brazil, Sep 2004.

[C69]     H. Peddaneni, D. Erdogmus, Y.N. Rao, A. Hegde, J.C. Principe, “Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation”, Proceedings of MLSP’04, pp. 83-92, Sao Luis, Brazil, Sep 2004.

[C68]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Towards a Unification of Information Theoretic Learning and Kernel Methods”, Proceedings of MLSP’04, pp. 93-102, Sao Luis, Brazil, Sep 2004.

[C67]     D. Erdogmus, R. Jenssen, Y.N. Rao, J.C. Principe, “Multivariate Density Estimation with Optimal Marginal Parzen Density Estimation and Gaussianization”, Proceedings of MLSP’04, pp. 73-82, Sao Luis, Brazil, Sep 2004.

[C66]     A. Hegde, D. Erdogmus, J.C. Principe, “Synchronization Analysis of Epileptic ECoG Data Using SOM-Based SI Measure”, Proceedings of EMBC’04, pp. 952-955, San Francisco, California, Sep 2004.

[C65]     L. Vielva, I. Santamaria, D. Erdogmus, J.C. Principe, “On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions”, Proceedings of ICA’04, pp. 185-192, Granada, Spain, Sep 2004.

[C64]     D. Erdogmus, Y.N. Rao, J.C. Principe, “Gaussianizing Transformations for ICA”, Proceedings of ICA’04, pp. 26-32, Granada, Spain, Sep 2004.

[C63]     J.W. Xu, D. Erdogmus, Y.N. Rao, J.C. Principe, “Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures”, Proceedings of ICA’04, pp. 311-318, Granada, Spain, Sep 2004.

[C62]     M. Lazaro, I. Santamaria, J. Via, D. Erdogmus, “Blind Equalization of Multilevel Signals Using Support Vector Machines”, Proceedings of EUSIPCO’04, pp. 41-44, Vienna, Austria, Sep 2004.

[C61]     A.U. Genc, S. Auddy, D. Erdogmus, S.P. Das, J.C. Principe, “Adaptive Extended Luenberger Observer in State Feedback Control of Nonlinear Dynamical Systems”, Proceedings of MED’04, Kusadasi, Turkey, Jun 2004. (Accepted but not published due to a registration miscommunication.)

[C60]     Y.N. Rao, S.P. Kim, J.C. Sanchez, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, “Learning Mappings in Brain Machine Interfaces with Echo State Networks”, Proceedings of IJCNN’04, Budapest, Hungary, Jul 2004. (Accepted but not published due to a registration miscommunication, see ICASSP’05.)

[C59]     A. Hegde, D. Erdogmus, T. Lehn-Schioler, Y.N. Rao, J.C. Principe, “Vector-Quantization by Density Matching in the Minimum Kullback-Leibler Divergence Sense”, Proceedings of IJCNN’04, pp. 105-109, Budapest, Hungary, Jul 2004.

[C58]     D. Erdogmus, Y.N. Rao, J.C. Principe, “Nonlinear Independent Component Analysis by Homomorphic Transformation of the Mixtures”, Proceedings of IJCNN’04, pp. 47-52, Budapest, Hungary, Jul 2004.

[C57]     T. Lehn-Schioler, D. Erdogmus, J.C. Principe, “Parzen Particle Filters”, Proceedings of ICASSP’04, vol. 5, pp. 781-784, Montreal, Canada, May 2004.

[C56]     D. Erdogmus, R. Yan, E.G. Larsson, J.C. Principe, J.R. Fitzsimmons, “Mixture of Competitive Linear Models for Phased-Array Magnetic Resonance Imaging”, Proceedings of ICASSP’04, vol. 5, pp. 585-588, Montreal, Canada, May 2004.

[C55]     J.W. Xu, D. Erdogmus, J.C. Principe, “Minimizing the Fisher Information of the Error in Supervised Adaptive Filter Training”, Proceedings of ICASSP’04, vol. 5, pp. 513-516, Montreal, Canada, May 2004.

[C54]     Y.N. Rao, D. Erdogmus, J.C. Principe, “Accurate Linear Parameter Estimation in Colored Noise”, Proceedings of ICASSP’04, vol. 2, p. 689-692, Montreal, Canada, May 2004.

[C53]     J.W. Xu, D. Erdogmus, M.C. Ozturk, J.C. Principe, “Recursive Renyi’s Entropy Estimator for Adaptive Filtering”, Proceedings of ISSPIT’03, pp. ?, Darmstadt, Germany, Dec 2003.

[C52]     J.C. Sanchez, D. Erdogmus, Y.N. Rao, S.P. Kim, M. Nicolelis, J. Wessberg, J.C. Principe, “Interpreting Neural Activity Through Linear and Nonlinear Models for Brain Machine Interfaces”, Proceedings of EMBC’03, pp. 2160-2163, Cancun, Mexico, Sep 2003.

[C51]     A. Hegde, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Gao, “SOM-Based Similarity Index Measure: Quantifying Interactions Between Multivariate Structures”, Proceedings of NNSP’03, pp. 819-828, Toulouse, France, Sep 2003.

[C50]     D.E. Marossero, D. Erdogmus, N. Euliano, J.C. Principe, K.E. Hild II, “Independent Components Analysis for Fetal Electrocardiogram Extraction: A Case for the Data Efficient Mermaid Algorithm”, Proceedings of NNSP’03, pp. 399-408, Toulouse, France, Sep 2003.

[C49]     Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Fast Error Whitening Algorithms for System Identification and Control”, Proceedings of NNSP’03, pp. 309-318, Toulouse, France, Sep 2003.

[C48]     D. Erdogmus, O. Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo, R. Jenssen, “Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response”, Proceedings of IJCNN’03, vol. 3, pp. 2005-2010, Portland, Oregon, Jul 2003.

[C47]     B.A. Davis, D. Erdogmus, Y.N. Rao, J.C. Principe, “Supervised Synaptic Weight Adaptation for a Spiking Neuron”, Proceedings of IJCNN’03, vol. 4, pp. 2558-2562, Portland, Oregon, Jul 2003.

[C46]     Y.N. Rao, D. Erdogmus, J.C. Principe, “Error Whitening Criterion for Linear Filter Estimation”, Proceedings of IJCNN’03, vol. 2, pp. 1447-1452, Portland, Oregon, Jul 2003.

[C45]     S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, “Modeling the Relation from Motor Cortical Neuronal Firing to Hand Movements Using Competitive Linear Filters and a MLP”, Proceedings of IJCNN’03, vol. 1, pp. 66-70, Portland, Oregon, Jul 2003.

[C44]      M.C. Ozturk, J.C. Principe, B. Davis, D. Erdogmus, “Simulation of the Freeman Model of the Olfactory Cortex: A Quantitative Performance Analysis for the DSP Approach”, Proceedings of IJCNN’03, vol. 1, pp. 332-336, Portland, Oregon, Jul 2003.

[C43]     R. Jenssen, K.E. Hild II, D. Erdogmus, J.C. Principe, T. Eltoft “Clustering Using Renyi’s Entropy”, Proceedings of IJCNN’03, vol. 1, pp. 523-528, Portland, Oregon, Jul 2003.

[C42]     R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Information Force Clustering Using Directed Trees”, Proceedings of EMMCVPR’03, pp. 68-72, Lisbon, Portugal, Jul 2003.

[C41]     O. Fontenla-Romero, D. Erdogmus, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Linear Least-Squares Based Methods for Neural Networks Learning”, Proceedings of ICANN’03 (Springer Lecture Notes in Computer Science, vol. 1714), pp. 84-91, Istanbul, Turkey, Jun 2003.

[C40]     D. Erdogmus, Y.N. Rao, M.C. Ozturk, L.Vielva, J.C. Principe, “On the Convergence of SIPEX: A Simultaneous Principal Components Extraction Algorithm”, Proceedings of ICASSP’03, vol. 2, pp. 697-700, Hong Kong, Apr 2003.

[C39]     S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Principe, “A Hybrid Subspace Projection Method for System Identification”, Proceedings of ICASSP’03, vol. 6, pp. VI_321-VI_324, Hong Kong, Apr 2003.

[C38]     M. Lazaro, I. Santamaria, C. Pantaleon, D. Erdogmus, J.C. Principe, “Matched Pdf-Based Blind Equalization”, Proceedings of ICASSP’03, vol. 4, pp. IV_297-IV_300, Hong Kong, Apr 2003.

[C37]     R. Yan, D. Erdogmus, E.G. Larsson, J.C. Principe, J.R. Fitzsimmons, “Image Combination for High-Field Phased-Array MRI”, Proceedings of ICASSP’03, vol. 5, pp. V_1-V_4, Hong Kong, Apr 2003.

[C36]     C.A. Lai, D. Erdogmus, J.C. Principe, “Echo Cancellation by Global Optimization of Kautz Filters Using an Information Theoretic Criterion”, Proceedings of ICASSP’03, vol. 6, pp. VI_197-VI-200, Hong Kong, Apr 2003.

[C35]     D. Erdogmus, Y.N. Rao, J.C. Principe, O. Fontenla-Romero, A. Alonso-Betanzos, “Recursive Least Squares for an Entropy Regularized MSE Cost Function”, Proceedings of ESANN’03, pp. 451-455, Bruges, Belgium, Apr 2003.

[C34]     O. Fontenla-Romero, D. Erdogmus, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Accelerating the Convergence Speed of Neural Network Learning Methods Using Least Squares”, Proceedings of ESANN’03, pp. 255-260, Bruges, Belgium, Apr 2003.

[C33]     R. Thogulua, D. Erdogmus, J.C. Principe, “Self-Organization of Multiple Agents Using Information Theoretic Interactions”, Proceedings of ICONS’03, pp. 574-579, Faro, Portugal, Apr 2003.

[C32]     L. Vielva, Y. Pereiro, D. Erdogmus, J.C. Principe, “Inversion Techniques for Underdetermined BSS in an Arbitrary Number of Dimensions”, Proceedings of ICA’03, pp. 131-136, Nara, Japan, Apr 2003.

[C31]     D. Erdogmus, K.E. Hild II, Y.N. Rao, J.C. Principe, “Independent Components Analysis Using Jaynes’ Maximum Entropy Principe”, Proceedings of ICA’03, pp. 385-390, Nara, Japan, Apr 2003.

[C30]     D. Erdogmus, A. Hegde, K.E. Hild II, M.C. Ozturk, J.C. Principe, “A Brute Force Analytical Formulation of the Independent Components Analysis Solution”, Proceedings of ICA’03, pp. 791-796, Nara, Japan, Apr 2003.

[C29]     M. Lazaro, I. Santamaria, C. Pantaleon, D. Erdogmus, K.E. Hild II, J.C. Principe, “Blind Equalization by Sampled PDF Fitting”, Proceedings of ICA’03, pp. 1041-1046, Nara, Japan, Apr 2003.

[C28]     J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, J. Wessberg, “Learning the Contributions of the Motor, Premotor, and Posterior Parietal Cortices for Hand Trajectory Reconstruction in a Brain Machine Interface”, Proceedings of NER’03, pp. 59-62, Capri Island, Italy, Mar 2003.

[C27]     J.C. Sanchez, S.P. Kim, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Wessberg, M. Nicolelis, “Input-Output Mapping Performance of Linear and Nonlinear Models for Estimating Hand Trajectories from Cortical Neuronal Firing Patterns”, Proceedings of NNSP’02, pp. 139-148, Martigny, Switzerland, Sep 2002.

[C26]     D. Erdogmus, J.C. Sanchez, J.C. Principe, “Modified Kalman Filter Based Method for Training State-Recurrent Multilayer Perceptrons”, Proceedings of NNSP’02, pp. 219-228, Martigny, Switzerland, Sep 2002.

[C25]     D. Erdogmus, J.C. Principe, S.P. Kim, J.C. Sanchez, “A Recursive Renyi’s Entropy Estimator”, Proceedings of NNSP’02, pp. 209-217, Martigny, Switzerland, Sep 2002.

[C24]     D. Erdogmus, J.C. Principe, K.E. Hild II, “Do Hebbian Synapses Estimate Entropy?” Proceedings of NNSP’02, pp. 199-208, Martigny, Switzerland, Sep 2002.

[C23]     G. K. Thampi, J.C. Principe, J. Cho, D. Erdogmus, M.A. Motter, “Adaptive Inverse Control Using SOM Based Multiple Models”, Proceedings of CONTROLO’02, pp. 278-282, Aveiro, Portugal, Sep 2002.

[C22]     N. Obolensky, D. Erdogmus, J.C. Principe, “A Time-Varying Kalman Filter Applied to Moving Target Tracking”, Proceedings of CONTROLO’02, pp. 418-422, Aveiro, Portugal, Sep 2002.

[C21]     D. Erdogmus, J.C. Principe, G.K. Thampi, “Adaptive Linear Observer for Nonlinear Systems”, Proceedings of CONTROLO’02, pp. 56-60, Aveiro, Portugal, Sep 2002.

[C20]     L. Vielva, I. Santamaria, C. Pantaleon, J. Ibanez, D. Erdogmus, J.C. Principe, “Estimation of the Mixing Matrix for Underdetermined Blind Source Separation Using Spectral Estimation Techniques”, Proceedings of EUSIPCO’02, vol. 1, pp. 557-560, Toulouse, France, Sep 2002.

[C19]     D. Erdogmus, J.C. Principe, L. Vielva, “Blind Deconvolution with Renyi’s Minimum Entropy”, Proceedings of EUSIPCO’02, vol. 1, pp. 557-560, Toulouse, France, Sep 2002.

[C18]     D. Erdogmus, Y.N. Rao, J.C. Principe, O. Fontenla-Romero, L. Vielva, “An Efficient, Robust, and Fast Converging Principal Components Extraction Algorithm: SIPEX-G”, Proceedings of EUSIPCO’02, vol. 2, pp. 335-338, Toulouse, France, Sep 2002.

[C17]     D. Erdogmus, K.E. Hild II, J.C. Principe, L. Vielva, “Blind Separation of Uncorrelated Sources via Principal Components Analysis of Observations for a Symmetric Mixing Matrix”, Proceedings of EUSIPCO’02, vol. 2, pp. 75-78, Toulouse, France, Sep 2002.

[C16]     D. Erdogmus, J.C. Principe, L. Vielva, D. Luengo, “Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems”, Proceedings of ICANN’02, pp. 456-461, Madrid, Spain, Aug 2002.

[C15]     J.C. Sanchez, D. Erdogmus, J.C. Principe, J. Wessberg, M. Nicolelis, “A Comparison Between Nonlinear Mappings and Linear State Estimation to Model the Relation from Motor Cortical Neuronal Firing to Hand Movements”, Proceedings of SAB’02 Workshop on Motor Control in Humans and Robots: On the Interplay of Real Brains and Artificial Devices, Jose M. Carmena, George Maistros (eds.), University of Edinburgh, Scotland, pp. 59-65, Aug 2002.

[C14]     L. Vielva, D. Erdogmus, C. Pantaleon, I. Santamaria, J. Pereda, J.C. Principe, “Underdetermined Blind Source Separation in a Time-Varying Environment”, Proceedings of ICASSP’02, vol. 3, pp. 3049-3052, Orlando, Florida, May 2002.

[C13]     D. Erdogmus, Y.N. Rao, J.C. Principe, J. Zhao, K.E. Hild II, “Simultaneous Extraction of Principal Components Using Givens Rotations and Output Variances”, Proceedings of ICASSP’02, vol. 1, pp. 1069-1072, Orlando, Florida, May 2002.

[C12]     K.E. Hild II, D. Erdogmus, J.C. Principe, “Blind Source Separation of Time-Varying, Instantaneous Mixtures Using an On-Line Algorithm”, Proceedings of ICASSP’02, vol. 1, pp. 993-996, Orlando, Florida, May 2002.

[C11]     K.E. Hild II, D. Erdogmus, J.C. Principe, “On-Line Minimum Mutual Information Method for Time-Varying Blind Source Separation”, Proceedings of ICA’01, pp. 126-131, San Diego, California, Dec 2001.

[C10]     D. Erdogmus, L. Vielva, J.C. Principe, “Nonparametric Estimation and Tracking of the Mixing Matrix for Underdetermined Blind Source Separation”, Proceedings of ICA’01, pp. 189-194, San Diego, California, Dec 2001.

[C9]       L. Vielva, D. Erdogmus, J.C. Principe, “Underdetermined Blind Source Separation Using a Probabilistic Source Sparsity Model”, Proceedings of ICA’01, pp. 675-679, San Diego, California, Dec 2001.

[C8]       D. Erdogmus, J.C. Principe, “An On-Line Adaptation Algorithm for Adaptive System Training with Minimum Error Entropy: Stochastic Information Gradient”, Proceedings of ICA’01, pp. 7-12, San Diego, California, Dec 2001.

[C7]       D. Erdogmus, D. Rende, J.C. Principe, T.F. Wong, “Nonlinear Channel Equalization Using Multilayer Perceptrons with Information-Theoretic Criterion”, Proceedings of NNSP’01, pp. 443-451, Falmouth, Massachusetts, Sep 2001.

[C6]       D. Erdogmus, J.C. Principe, “Convergence Analysis of the Information Potential Criterion in ADALINE Training”, Proceedings of NNSP’01, pp. 123-132, Falmouth, Massachusetts, Sep 2001.

[C5]       D. Erdogmus, K.E. Hild II, J.C. Principe, “Independent Components Analysis Using Renyi’s Mutual Information and Legendre Density Estimation”, Proceedings of IJCNN’01, vol. 4, pp. 2762-2767, Washington, DC, Jul 2001.

[C4]       D. Erdogmus, J.C. Principe, “Entropy Minimization Algorithm for Neural Networks”, Proceedings of IJCNN’01, vol. 4, pp. 3003-3008, Washington, DC, Jul 2001.

[C3]       D. Erdogmus, J.C. Principe, “Information Transfer through Classifiers and its Relation to Probability of Error”, Proceedings of IJCNN’01, vol. 1, pp. 50-54, Washington, DC, Jul 2001.

[C2]       J.C. Principe, D. Erdogmus, “From Adaptive Linear to Information Filtering”, Proceedings of AS-SPCC’00, pp. 99-104, Lake Louise, Alberta, Canada, Oct 2000.

[C1]       D. Erdogmus, J.C. Principe, “Comparison of Entropy and Mean Square Error Criteria in Adaptive System Training Using Higher Order Statistics”, Proceedings of ICA’00, pp. 75-80, Helsinki, Finland, Jun 2000.

Abstracts

[A113]  N. Akbar, M. La Rocca, R. Garner, D. Duncan, D. Erdogmus, “Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI”, PETRA, 2020. Best Poster Paper Award (1 of 2)

[A112]  M. Yarossi, R. Faghihpirayesh, D. Tanis, G. Ames, S. Adamovich, D. Brooks, D. Erdogmus, E. Tunik, “TMS Mapping Using Active Inference for Spatial Sampling via User Guidance and Gaussian Process Modeling”, OHBM, 2020.

[A111]  D. Duncan, M. La Rocca, R. Garner, R. Faghihpirayesh, E-K. Bae, D. Erdogmus, “Automatic Tool To Identify Epileptiform Activity in EEG of Traumatic Brain Injury Patients”, Neurotrauma, 2020.

[A110]  D. Erdogmus, A. Kocanaogullari, Y. Marghi, M, Akcakaya, B. Peters, B. Oken, M. Fried-Oken, “Active Recursive Bayesian Inference with log-Posterior Momentum for Faster BCIs”, BCI 2020.

[A109]  M. Goodwin, T. Imbiriba, S. Ioannidis, C. Mazevsky, M. Verdi, C. Peura, J. Heathers, D. Companasoiu, D. Erdogmus, “Improving Biosensor Prediction of Aggression in Youth with Autism Using Support Vector Machines”, INSAR, 2020.

[A108]  T. Memmott, A. Kocanaogullari, D. Klee, A. Demir, D. Erdogmus, B. Oken, Tripolar Scalp Electrodes Extract Gamma Activity to Maximize Performance in a Brain-Computer Interface (BCI) Spelling Paradigm”, BCI, 2020.

[A107]  B. Peters, S. Bedrick, S. Dudy, B. Eddy, D. Erdogmus, M. Higger, M. Kinsella, D. McLaughlin, T. Memmott, B. Oken, F. Quivira, S. Spaulding, M. Fried-Oken, “SSVEP BCI and Eye Tracking Use By Individuals with Advanced ALS and Visual Impairments”, BCI, 2020.

[A106]  P. Singh, J. Kalpathy-Cramer, J. Brown, S-Y. Hu, A. Coyner, S. Ostmo, R.V.P. Chan, S. Ioannidis, D. Erdogmus, P. Campbell, M. Chiang, “External Validation and Optimization of a Deep Learning Algorithm for Plus Disease in an Indian ROP Screening Program”, ARVO, 2020.

[A105]  C. Westlin, B. Azari, A. Satpute, B. Hutchinson, P.A. Kragel, D. Erdogmus, J. Dy, D.H. Brooks, L. Feldman Barrett, “Investigating Emotion Categories via Supervised and Unsupervised Approaches”, APS, 2020.

[A104]  M. Yarossi, R. Faghihpirayesh, D. Tanis, G. Ames, S. Adamovich, D. Brooks, D. Erdogmus, E. Tunik, “TMS Mapping using Active Inference for Spatial Sampling via User Guidance and Gaussian Processes”, OHBM, 2020.

[A103]  D. Duncan, R. Garner, M. La Rocca, D. Erdogmus, “Multimodal Signal Analysis for Post-traumatic Epilepsy”, ACE 2019.

[A102]   C. Westlin, B. Azari, A. Satpute, B. Hutchinson, J. Dy, D. Erdogmus, D. Brooks, L. Feldman-Barrett, “fMRI Patterns Do Not Necessarily Correspond One-to-one to Emotion Category Labels”, Society for Affective Science Meeting, 2019.

[A101]   D. Duncan, R. Garner, D. Erdogmus, “Efficient MRI Segmentation After Traumatic Brain Injury Using Active Learning”, OHBM, 2019.

[A100]   T. Redd, P. Campbell, J. Brown, S. Ostmo, R. Chan, J. Dy, S. Ioannidis, S.J. Kim, D. Erdogmus, J. Kalpathy-Cramer, M. Chiang, “Utilization of a Deep Learning Image Assessment Tool for Epidemiologic Surveillance of Retinopathy of Prematurity”, ARVO, 2019.

[A99]    B. Azari, C. Westlin, A. Satpute, D. Erdogmus, J. Dy, D. Brooks, L. Feldman-Barrett, “Emotional Granularity Estimation via GMM-based Clustering of fMRI”, NIPS Women in Machine Learning Workshop, 2018.

[A98]    J. Brown, J.P. Campbell, A. Beers, K. Chang, S. Ostmo, R.V. Paul Chan, D. Erdogmus, S. Ioannidis, M. Chiang, J. Kalpathy-Cramer, “Fully Automated Disease Severity Assessment and Treatment Monitoring in ROP Using Deep Learning”, SPIE, 2018.

[A97]    B. Girvent, P. Gonzalez-Navarro, M. Moghadamfalahi, L. Nachman, D. Erdogmus, “A Comparison of Oddball and Deterministic Paradigms for ERP-based BCI”, BCI, 2018.

[A96]    P. Gonzalez-Navarro, A. Kocanaogullari, B. Kadioglu, M. Akcakaya, M. Fried-Oken, D. Erdogmus, “Effect of Query Length and Prospect Symbol Confidence in EEG-based Typing Systems”, BCI, 2018.

[A95]    M.S. Goodwin, O. Ozdenizci, P. Tian, Y. Guo, C. Cumpanasoiu, A. Stedman, C. Peura, S. Ioannidis, D. Erdogmus, C. Mazefsky, M. Siegel, “Predicting Aggression Onset in Minimally Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals”, INSAR, 2018.

[A94]    J.P. Campbell, J. Brown, S. Ostmo, R.V. Chan, J. Dy, D. Erdogmus, S. Ioannidis, J. Kalpathy-Cramer, M. Chiang, “AI in ROP: Clinical Validation of a Fully Automated Deep Learning System for Plus Disease Diagnosis”, ARVO, 2018.

[A93]    M. Chiang, J. Brown, V. Yildiz, P. Tian, L. Ghergherehchi, J.P. Campbell, S. Ostmo, S.J. Kim, R.V. Chan, J. Dy, D. Erdogmus, S. Ioannidis, J. Kalpathy-Cramer, “AI in ROP: Identification of Clinically Significant Retinal Vascular Findings Using Computer-based image Analysis”, ARVO, 2018.

[A92]    A. Kocanaogullari, P. Gonzalez-Navarro, T. Memmott, B. Peters, M. Akcakaya, D. Erdogmus, “Query Exploration for Intended Task State Estimation with BCI”, BCI, 2018.

[A91]    M. Kos, M. Pavel, S. Rampersad, D. Erdogmus, S. Mathan, H. Jimison, “Adaptive Cognitive Training Application for Patients with Cognitive Impairments”, AMIA, 2018.

[A90]    T. Memmott, B. Eddy, S. Dabiri, D. Erdogmus, M. Fried-Oken, B. Oken, “Automated and Self-Report Measures of Drowsiness over Successive Calibrations in a Brain-Computer Interface for Communication”, ICCN, 2018.

[A89]    T. Memmott, A. Kocanaogullari, D. Erdogmus, S. Bedrick, B. Peters, M. Fried-Oken, B. Oken, “BciPy: A Python Framework for Brain- Computer Interface Research”, BCI, 2018.

[A88]    S. Rampersad, U. Orhan, M. Kos, K. Mansfield, Y. Marghi, J. Sheffield, M. Dillard, D. Erdogmus, A. Pascual-Leone, N. Yeung, S. Mathan, R. Cohen-Kadosh, M. Pavel, Honeywell SHARP Team, “Effects of EEG-based Closed-loop Transcranial Alternating Current Stimulation on Theta Power During a Cognitive Task”, EMBC, 2018.

[A87]    D. Weber, S. Eldeeb, D. Erdogmus, M. Akcakaya, “EEG-guided Electrotactile Stimulation for Haptic Feedback”, BCI, 2018.

[A86]    M. Yarossi, S.Y. Gunay, D. Erdogmus, D. Brooks, E. Tunik, “A Predictive Framework to Indicate Task Invariance of Distal Upper Limb Muscle Synergies”, NCM, 2018.

[A85]    I. Yildiz, P. Tian, J. Dy, D. Erdogmus, J. Brown, J. Kalpathy-Cramer, S. Ostmo, J.P. Campbell, M.E. Chiang, S. Ioannidis, “Classification and Comparison via Neural Networks”, NIPS Women in Machine Learning Workshop, 2018.

[A84]    J.P. Campbell, J. Brown, S. Ioannidis, D. Erdogmus, P. Chan, J. Kalpathy-Cramer, M.F. Chiang, “Conceptual and Technological Advances in Plus Disease Diagnosis in ROP”, Retina Society Meeting, 2017.

[A83]    D. Cumpanasoiu, C. Mazefsky, A. Stedn, C. Peura, P. Tian, Y. Guo, S. Ioannidis, D. Erdogmus, M. Siegel, M.S. Goodwin, “Physiological Biomarkers for Prediction of Imminent Agression in Minimally Verbal Children with Autism Spectrum Disorder”, AACAP 2017.

[A82]    J. Brown, iROP Team, “Deep Learning for the Diagnosis of Plus Disease in ROP”, AAPOS 2017.

[A81]    P. Campbell, iROP Team, “Evaluation of Computer-based Image Analysis for ROP Screening”, AAPOS 2017.

[A80]    P. Campbell, S. Kim, R. Swan, K. Jonas, S. Ostmo, S. Ioannidis, D. Erdogmus, J. Kalpathy-Cramer, R. Chan, M. Chiang, “Is There Clinical Utility for a Continuous Severity Score for Plus Disease in ROP”, ARVO 2017.

[A79]    J. Kalpathy-Cramer, P. Campbell, S. Kim, R. Swan, K. Jonas, S. Ostmo, S. Ioannidis, D. Erdogmus, R. Chan, M. Chiang, “Deep Learning for the Identification of Plus Disease in ROP”, ARVO 2017.

[A78]    S. Tibrewal, P. Tian, D. Kedarisetti, J. Kalpathy-Cramer, S. Ioannidis, D. Erdogmus, P. Campbell, R. Chan, M. Chiang, “Evaluation of Computer-based Image Analysis for ROP Screening”, ARVO 2017.

[A77]    M. Kos, J. McKanna, M. Pavel, M. Dillard, J. Almquist, G. Kimball, A-K. Brem, U. Orhan, S. Rampersad, D. Cornhill, N. Yeung, D. Erdogmus, A. Pascual-Leone, R. Cohen-Kadosh, S. Mathan, “The Impact of Stimulus Features on Learning and Accuracy in an Adaptive Category Learning Task Designed to Train Fluid Intelligence”, APS 2017.

[A76]    T. Memmott, B. Eddy, O. Chesley, B. Oken, D. Erdogmus, M. Fried-Oken, “Drowsiness and Performance in a Brain-Computer Interface for Communication”, SFN 2017.

[A75]    M. Yarossi, M. Dannhauer, D. Erdogmus, D. Brooks, E. Tunik, “Multi-muscle TMS Mapping Using Subject-Specific FEA Models of Induced Currents”, Neuromodec 2017.

[A74]    A-K. Brem, K. Mansfield, F. Plessow, J. McKanna, T. Thompson, J. Almquist, U. Orhan, SHARP Team, N. Yeung, A. Pascual-Leone, M. Pavel, M. Santosh, R. Cohen-Kadosh, “Mechanisms of Near and Far Transfer Effects from Cognitive Training and Brain Stimulation”, BrainStim 2016.

[A73]    P. Campbell, E. Ataer-Cansizoglu, V. Bolon-Canedo, D. Erdogmus, J. Kalpathy-Cramer, S. Patel, P. Chan, M. Chiang, “Plus Disease: Is It More Than Meets the ICROP?”, AAPOS 2016.

[A72]    M. Chiang, P. Campbell, E. Ataer-Cansizoglu, V. Bolon-Canedo, A. Bozkurt, D. Erdogmus, J. Kalpathy-Cramer, S. Patel, J. Reynolds, J. Horowitz, K. Hutcheson, M. Shapiro, M. Repka, P. Ferrone, K. Dresner, M. Martinez-Castellanos, S. Ostmo, K. Jonas, P. Chan, “Plus Disease in ROP: Insights About Expert Diagnosis From Computer-based Image Analysis”, AOS 2016.

[A71]    J. Kalpathy-Cramer, P. Campbell, D. Erdogmus, P. Chan, M. Chiang, “Ranking and Rating in ROP: A System for User Studies of Disease Severity Assessment”, AMIA 2016.

[A70]    B. Girvent, H. Nezamfar, M. Moghadamfalahi, F. Quivira, M. Akcakaya, D. Erdogmus, “An Auditory BCI for Binary Communication”, NIPS Women in Machine Learning Workshop, Barcelona, Spain, 2016.

[A69]    P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya, M. B. Fried-Oken, D. Erdogmus, “Bayesian Fusion of Fedback Related Potentials and Language Models for EEG Based Typing Systems”, NIPS Women in Machine Learning Workshop, Barcelona, Spain, 2016.

[A68]    J. Nordhaug Myhre, M. Shaker, R. Jenssen, D. Erdogmus, “Geometric Interpretation of Density Ridge Manifold Estimation”, ICML Geometry in Machine Learning Workshop, 2016.

[A67]    K. Mansfield, A‐K. Brem, D. Cornhill, M. Dillard, D.Erdogmus, G. Kimball, J. McKanna, E. Myers, J. Norton-Ford Almquist, U. Orhan, A. Pascual-Leone, M. Pavel, F. Plessow, S. Rampersad, E. Santarnecchi, T. Thompson, S. Mathan, R.C. Kadosh, N. Yeung, “Enhanced Fluid Intelligence Following Cognitive Training: State vs Trait EEG Indices”, MCC, 2016.

[A66]    T. Memmott, B. Peters, D. Erdogmus, M. Fried-Oken, B. Oken, “Detecting Drowsiness in RSVP Keyboard^TM BCI Users with SSPI”, BCI, Asilomar, CA, Jun 2016.

[A65]    B. Girvent, H. Nezamfar, M. Moghadamfalahi, F. Quivira, M. Akcakaya, D. Erdogmus, “Towards an Auditory BCI for Binary Communication in the ICU”, BCI, Asilomar, CA, Jun 2016.

[A64]    P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya, D. Erdogmus, “Error-related Potentials for EEG-based Typing Systems”, BCI, Asilomar, CA, Jun 2016.

[A63]    M. Haghighi, M. Moghadamfalahi, H. Nezamfar, M. Akcakaya, D. Erdogmus, “Toward a Brain Interface for Tracking Attended Auditory Sources”, BCI, Asilomar, CA, Jun 2016.

[A62]    M. Higger, F. Quivira, M. Moghadamfalahi, D. Erdogmus, “Recursive Queries for BCIs: SSVEP Shuffle Speller”, BCI, Asilomar, CA, Jun 2016.

[A61]    M. Higger, M. Moghadamfalahi, P. Gonzalez-Navarro, D. Erdogmus, “Leveraging Temporal Confusion in P300 Spellers”, BCI, Asilomar, CA, Jun 2016.

[A60]    H. Nezamfar, S. Salehi, M. Moghadamfalahi, A. Ten Pas, D. Sinyukov, U. Orhan, M. Higger, F. Quivira, M. Akcakaya, T. Padir, R.J. Platt, D. Erdogmus, “FlashLife^TM:A Context-aware Solution for Everyday Life”, BCI, Asilomar, CA, Jun 2016.

[A59]    H. Nezamfar, S. Salehi, M. Moghadamfalahi, D. Erdogmus, “FlashType^TM: A Context-aware, Language-independent Typing System using c-VEP or Eye Tracking”, BCI, Asilomar, CA, Jun 2016.

[A58]    J. McLean, W. Bertorelli, L. McCallister, S. Rendall, G. Spiridigliozzi, F. Quivira, D. Erdogmus, “Multisensory Stimulation Framework for BCI-based Communication in the ICU”, BCI, Asilomar, CA, Jun 2016. Undergrad coauthors.

[A57]    F. Quivira, S. Feng, D. Sinyukov, M. Higger, H. Nezamfar, T. Padir, G. Schirner, D. Erdogmus, “BCI-based Semi-autonomous Wheelchair Control using a Human-in-the-loop Cyber-physical System Approach”, BCI, Asilomar, CA, Jun 2016.

[A56]    S. Salehi, M. Moghadamfalahi, H. Nezamfar, D. Erdogmus, “Context-aware Recursive Bayesian Estimation in BCI for Graph Navigation”, BCI, Asilomar, CA, Jun 2016.

[A55]    J. McKanna, F. Plessow, M. Dillard, J. Almquist, G. Kimball, E. Myers, U. Orhan, S. Verbaars, Y. Marghi, S. Salehi, D. Cornhill, A-K. Brem, K. Mansfield, N. Yeung, T. Thompson, E. Santarnecchi, D. Erdogmus, A. Pascual-Leone, R.K. Kadosh, S. Mathan, M. Pavel, “Progression Matters: Estimating Difficulty Across Mental Tasks to Ensure Adaptability”, xTech, San Francisco, CA, May 2016.

[A54]    Y.M. Marghi, S.M. Rampersad, S. Salehi, M. Dannhauer, D.H. Brooks, M. Pavel, D. Erdogmus, “A Model for Removing Transcranial Current Stimulation Artifacts in Concurrently Measured EEG”, SPMB, Philedelphia, PA, Dec 2015.

[A53]    K. Mansfield, A-K. Brem, J. Almquist, R.C. Kadosh, M. Dillard, D. Erdogmus, G. Kimball, J. McKanna, E. Myers, U. Orhan, A. Pascual-Leone, M. Pavel, F. Plessow, E. Santarnecchi, N. Yeung, S. Mathan, “The Impact of Cognitive Training and Brain Stimulation on Neural Correlates of Fluid Intelligence”, OHBM, 2015.

[A52]    A-K Brem, J. Almquist, R.C. Kadosh, M. Dillard, D. Erdogmus, G. Kimball, K. Mansfield, J. McKanna, E. Myers, U. Orhan, A. Pascual-Leone, M. Pavel, F. Plessow, E. Santarnecchi, N. Yeung, S. Mathan, “Enhanced Fluid Intelligence Performance Through Combined Cognitive Training and Brain Stimulation”, OHBM, 2015.

[A51]    E. Ataer-Cansizoglu, V. Bolon-Canedo, D. Erdogmus, K. Abrahams, S. Ostmo, R. V.P. Chan, J. Kalpathy-Cramer, M.F. Chiang, “A GMM-based Feature Extraction Technique for the Automated Diagnosis of Retinopathy of Prematurity”, ARVO, Denver, CO, May 2015.

[A50]    D. Erdogmus, V. Bolon-Canedo, E. Ataer-Cansizoglu, J. Kalpathy-Cramer, O. Fontenla-Romero, A. Alonso-Betanzos, M.F. Chiang, “Dealing with Inter-expert Variability in Retinopathy of Prematurity Through Machine Learning”, ARVO, Denver, CO, May 2015.

[A49]    A.R. Loh, M. Ryan, K. Abrahams, E. Cansizoglu, P. Chan, A. Berrocal, J. Kalpathy, V. Bolon, D. Erdogmus, M.F. Chiang, “Uncertainty in the Diagnosis of Pre-plus Disease in Retinopathy of Prematurity, ARVO, Denver, CO, May 2015.

[A48]    S. Guler, M. Dannhauer, B. Erem, R. MacLeod, D. Tucker, S. Turovets, P. Luu, D. Erdogmus, D.H. Brooks, “Approximation of Fully-optimized HD-tDCS Stimulus Patterns with Fewer Current Sources Using a Branch—and-Bound Algorithm”, NYC Neuromodulation Workshop, 2015.

[A47]    E. Onuk, M. Akcakaya, D. Erdogmus, J. Bardhan, D.H. Brooks, L. Makowski, “Constrained Maximum Likelihood Estimation of the Abundances of Protein Conformation in a Heterogeneous Structural Enmsemble from Small Angle X-Ray Scattering Intensity Measurements”, Biophysical Society Meeting, Baltimore, MD, Feb 2015.

[A46]    E. Santarnecchi, M.D. Fox, J. Almquist⁵, A.K. Brem, R.C. Kadosh, M. Dillard, A. Emmendorfer, D.Erdogmus, M. Halko, G. Kimball, E. Levenbaum, K. Mansfield, S. Mathan, J. McKanna, E. Myers, U. Orhan, M. Pavel, F. Plessow, S. Saxena, N. Yeung, A. Pascual-Leone, “Predicting the Outcome of Computerized Cognitive Training Using Resting-state Functional Connectivity Patterns”, ESCON (European Social Cognition Network), Bensheim, Germany, Aug 2015.

[A45]    N. Ghadar, X. Zhang, I. Shafran, D. Erdogmus, K. Coleman, K.A. Grant, “Automated Tracking and Localization of Primates in Social Groups”, NIPS Women in Machine Learning Workshop, Dec 2014.

[A44]    S. Guler, M. Dannhauer, B. Erem, R. McLeod, D. Tucker, S. Turovets, P. Luu, D. Erdogmus, D. Brooks, “The Effect of Anisotropic Inhomogeneous Conductivity Modeling onto Focality and Directionality in HD-tDCS”, OHBM, Jun 2014.

[A43]    S. Guler, M. Dannhauer, B. Erem, R. McLeod, D. Tucker, S. Turovets, P. Luu, W.M. Meleis, D. Erdogmus, D. Brooks, “Approximating Fully Optimized Dense Array tDCS with a Single Current Source”, OHBM, Jun 2014.

[A42]    A. Mullangi, N. Ding, S. Purwar, D. Erdogmus, Y.Y. Kong, “Identification of Attended Speech Stream from Ongoing Cortical Response in Diotic Listening”, ARO (Association for Research in Otolaryngology), Feb 2014.

[A41]    B. Oken, A. Ahani, H. Wahbeh, H. Nezamfar, M. Miller, D. Erdogmus, “EEG and Respiration Changes from Mindfulness Meditation State”, Int. Research Conf. in Integrative Medicine and Health (IRCIMH) 2014, Miami, FL, May 2014.

[A40]    S. Guler, M. Dannhauer, B. Erem, R. Macleod, D. Tucker, S. Turovets, C. Mattson, D. Erdogmus, D.H. Brooks, “Dense Electrode Array Current Optimization for Targeting and Directionality of TDCS: Studies in a Realistic Head Model”, OHBM, 2013.

[A39]    D. Fernandez-Canellas, U. Orhan, M. Akcakaya, J. Coll-Font, D.H. Brooks, D. Erdogmus, “Modeling the Temporal Dependency of Brain Responses to Rapidly Presented Stimuli in ERP-based BCIs”, SPMB 2013, New York City, NY, Dec 2013.

[A38]    S. Guler, M. Dannhauer, B. Erem, R. Macleod, D. Tucker, S. Turovets, C. Mattson, D. Erdogmus, D.H. Brooks, “Multi-electrode Current Stimulus Optimization for Directional and Localized TDCS in a Realistic Head Model with Anisotropy”, SPMB 2013, New York City, NY, Dec 2013.

[A37]    M. Moghadamfalahi, A. Satpute, M. Akcakaya, D. Brooks, J. Dy, D. Erdogmus, L. Feldman-Barrett, “Are Affective Responses in fMRI Independent of Previous Affect-Inducing Stimuli – A Retrospective Analysis”, HBM, Seattle, WA, Jun 2013.

[A36]    S. Guler, M. Dannhauer, B. Erem, R. MacLead, D. Tucker, S. Turovets, C. Mattson, D. Erdogmus, D.H. Brooks, “Dense Electrode Array Current Optimization for Targeting and Directionality of tDCS: Studies in a Realistic Head Model”, OHBM, Seattle, WA, Jun 2013.

[A35]    H. Nezamfar, D. Sinyukov, U. Orhan, D. Erdogmus, T. Padir, “Brain Interface to Control a Tele-Operated Robot”, BCI, Asilomar, CA, Jun 2013.

[A34]    B. Peters, D. Erdogmus, A. Fowler, A. Mooney, B. Oken, U. Orhan, B. Roark, M. Fried-Oken, “Effects of Varying Presentation Rate and Sequence Length on User Performance with the RSVP Keyboard^TM BCI”, BCI, Asilomar, CA, Jun 2013.

[A33]    U. Orhan, M. Akcakaya, D. Erdogmus, B. Roark, M. Moghadamfalahi, M. Fried-Oken, “Comparison of Adaptive Symbol Presentation Methods for RSVP Keyboard”, BCI, Asilomar, CA, Jun 2013.

[A32]    S. Purwar, J. Archbold, C. Buzby, D. Erdogmus, “Single Trial Classification of Imagined Hand Postures”, BCI, Asilomar, CA, Jun 2013.

[A31]    M. Moghadamfalahi, U. Orhan, M. Akcakaya, D. Erdogmus, “Bayesian Priors for Classifier Design in RSVP Keyboard”, BCI, Asilomar, CA, Jun 2013.

[A30]    M. Fried-Oken, A. Mooney, B. Peters, D. Erdogmus, A. Fowler, M. Miller, B. Oken, U. Orhan, B. Roark, “The RSVP Keyboard^TM Brain-Computer Interface: Looking to the Future for Communication by Individuals Who Are Functionally Locked-In”, IDD, May 2013.

[A29]    G. Aaker, D. Lattin, K. Keck, E. Ataer-Cansizoglu, R. Gelman, J. Kalpathy-Cramer, D. Erdogmus, M. Chiang, “Computer-based Image Analysis for ROP: Development of a Quantitative Index Based on Vasculer Tortuosity”, ARVO, May 2013. (Reviewed abstract)

[A28]    D. Lattin, G. Aaker, E. Ataer-Cansizoglu, K. Keck, R. Gelman, J. Kalpathy-Cramer, D. Erdogmus, M. Chiang, “Quantifying Vascular Tortuosity in Retinopathy of Prematurity: Impact of Segmentation Method and Vascular Length”, ARVO, May 2013. (Reviewed abstract)

[A27]    B. Oken, D. Erdogmus, M. Miller, A. Mooney, B. Peters, Orhan, B. Roark, M. Fried-Oken, “EEG-based Typing Interface with Language Model for Individuals Who Are Functionally Locked-in”, AAN, Mar 2013. (Reviewed abstract)

[A26]    U. Orhan, K.E. Hild II, D. Erdogmus, B. Roark, B. Oken, M. Fried-Oken, “RSVP Keyboard^TM: A BCI Typing System with No Requirement of Precise Eye Gaze Control”, SPMB 2012, Dec 2012. (NE Regional Conference held in NYC)

[A25]    M. Higger, M. Akcakaya, D. Erdogmus, “A Fusion Algorithm for Uniform Sensor Failure”, ADSA 2012, Oct 2012.

[A24]    M. Akcakaya, U. Orhan, D. Erdogmus, “Error Dependent Risk Minimization for Detection”, ADSA 2012, Oct 2012.

[A23]    P.G. Jacobs, D. Erdogmus, G. Saunders, “Methods on Improving Signal-to-Noise Ratio of a Speech Signal Using Visual Features from a Speaker’s face”, International Hearing Aid Conference (IHCON), Lake Tahoe, CA, Aug 2012.

[A22]    M. Fried-Oken, B. Oken, D. Erdogmus, B. Roark, K.E. Hild II, U. Orhan, A. Mooney, M. Miller, “, A Brain Computer Interface using the RSVP Keyboard for Users Who Are Locked-in”, ISAAC 2012, Aug  2012. (60-minute presentation given by MFO.)

[A21]    K.M. Keck, J. Kalpathy-Cramer, E. Ataer-Cansizoglu, S. You, D. Erdogmus, M.F. Chiang, “Plus Disease Diagnosis in Retinopathy of Prematurity: Vascular Tortuosity as a Function of Distance from Optic Disc Center”, ARVO 2012, accepted as poster in Feb 2012.

[A20]    M. Fried-Oken, D. Erdogmus, C. Gibbons, A. Mooney, B. Oken, B. Roark, “Brain Computer Interface for AAC Technology”, ASHA 2011 Lecture, Submitted in Mar 2011, meeting in Nov 2011.

[A19]    M. Fried-Oken, D. Erdogmus, B. Roark, B. Oken, “Initial Design of an Augmentative Communication Device with Non-invasive Brain Computer Interface, Adaptive Language Modeling and Rapid Serial Visual Presentation (RSVP)”, Oregon Innovation Showcase 2011, Portland, Oregon, Nov 2011.

[A18]    Y. Huang, D. Erdogmus, S. Mathan, K.E. Hild II, M. Pavel, “A Hybrid Generative/Discriminative Method for Single-trial Evoked Potential Detection”, Workshop for Women in Machine Learning, Vancouver, BC, Canada, Dec 2010.

[A17]    O. Kyrgyzov, D. Erdogmus, “Non-Redundant Tensor Decomposition”, NIPS’2010 TKML Workshop, Whistler, BC, Canada, Dec 2010.

[A16]    M Fried-Oken, D. Erdogmus, B. Roark, B. Oken, “Initial Design of an Augmentative Communication Device with Non-invasive Brain-computer Interface, Adaptive Language Modeling and Rapid Serial Visual Presentation (RSVP)”, Oregon Innovation Showcase, Nov 2010.

[A15]    D. Erdogmus, K.E. Hild II, B. Oken, B. Roark, M. Fried-Oken, “Initial Design of an AAC Device with Noninvasive BCI, Adaptive Language Modeling, and Rapid Serial Visual Presentation (RSVP)”, BCI Meeting 2010, Asilomar, California, Jun 2010.

[A14]    K. Weigand, R. Patel, D. Erdogmus, “Leveraging Semantic Frames and Serial Icon Presentation for Message Construction”, ISAAC 2010, Barcelona, Spain, May 2010.

[A13]    K.E. Hild II, S. Mathan, M. Pavel, D. Erdogmus, “Enhanced Target Detection Using a Hybrid Human-Computer System”, Asilomar 2009, Sep 2009.

[A12]    M. Pavel, Y. Huang, K.E. Hild II, S. Mathan, D. Erdogmus, “The Dynamics of Visual Detection Processes in RSVP Paradigms”, SfN 2009, Chicago, Illinois, Oct 2009.

[A11]    J. Szumowski, S. Hayflick, K. Gaarderz, E. Bas, E. Schwarz, D. Erdogmus, “Assessment of Iron Distribution in Hallevorden-Spatz Syndrome Using Phase Imaging and Relaxation Rate Measurements”, ISMRM 2009, Honolulu, Hawaii, Apr 2009. (http://www.ismrm.org/09/)

[A10]    J. Kalpathy-Cramer, W. Hersh, U. Ozertem, D. Erdogmus, A. Srisuthep, M. Fuss, “Semisupervised Segmentation for Image-Guidance for Stereotactic Body Radiation Therapy (SBRT)”, RSNA 2008, Chicago, Illinois, Nov 2008.

[A9]      P.G. Jacobs, D. Erdogmus, E.A. Wan, M. Leek, S.A. Fausti, “Development of an Audio-Visual Dual Sensory Assist Device Using Mutual Information Optimization”, IHCON 2006, Lake Tahoe, California, USA, Aug 2006.

[A8]      D. Erdogmus, M. Pavel, S. Mathan, T. Ververs, M. Dorneich, S. Whitlow, “Neurotechnology for Inteligence Analysts: An Integrated Systems Approach – Optimal Nonlinear Event Related Potential Detection Filters”, DARPA/NIA Kick-Off Meeting, Chantilly, Virginia, Oct 2005.

[A7]      R. Thogulua, D. Erdogmus, J.C. Principe, “Self-Organization of Multiple Agents Using Information Theoretic Interactions”, Conference on Cooperative Control and Optimization, Gainesville, Florida, Dec 2002.

[A6]      D. Erdogmus, K. Leblebicioglu, “An Intelligent Evasion Law Design for an Aircraft under Missile Threat”, NATO Symposium on Defense Industries, Ankara, Turkey, Sep 1999.

[A5]      D. Erdogmus, K. Leblebicioglu, “Optimal Trajectory Tracking Fuzzy Sliding Mode Guidance”, NATO Symposium on Defense Industries, Ankara, Turkey, Sep 1999.

[A4]      D. Erdogmus, K. Leblebicioglu, “Tanimlanmis Uzak Noktalardan Gecerek Hedefe Gidecek Bir Fuze Icin Yorunge Optimizasyonu”, Turkish Symposium on Technological Advances in Defense Industry, Ankara, Turkey, Jun 1999. (In Turkish)

[A3]      D. Erdogmus, T. Inci, “Tanimlanmis Iki Fuze Sisteminin Fiyat Verimliliginin Bulanik Mantik Kullanilarak Incelenmesi”, Turkish Symposium on Technological Advances in Defense Industry, Ankara, Turkey, Jun 1999. (In Turkish)

[A2]      D. Erdogmus, K. Leblebicioglu, “Fuze Tehdidindeki Ucak Icin Akilli Bir Gudum Sistemi Tasarimi”, Turkish Symposium on Technological Advances in Defense Industry, Ankara, Turkey, Jun 1999. (In Turkish)

[A1]      D. Erdogmus, T. Inci, “Turkiye’de Gudum Teknolojisi Calismalari ve TUBITAK-SAGE EGTG: Altyapi Sorunlari, Deneyim ve Bilgi Birikimi”, Turkish Aerospace and Defense Technologies Symposium, Istanbul, Turkey, Apr 1999. (In Turkish)

Books

[B2]       J.C. Principe, Information Theoretic Learning: Renyi’s Entropy and Kernel Perspectives, Wiley, 2010. (Written by Principe with chapter coauthors. Erdogmus is coauthor of Ch. 2-6, 8, & Appendix)

[B1]       J. Rosca, D. Erdogmus, J.C. Principe, S. Haykin (eds.), Independent Component Analysis and Blind Signal Separation: Proceedings of ICA 2006, LNCS 3889, Springer, Berlin, Germany, 2006.

Chapters

[BC9]    Y.M. Marghi, P. Gonzalez-Navarro, F. Quivira, J. McLean, B. Girvent, M. Moghadamfalahi, M. Akcakaya, D. Erdogmus, “Signal Models for Brain Interfaces Based On Evoked Response Potentials in EEG”, in Signal Processing and Machine Learning for Brain-Machine Interfaces (Editors Tanaka & Arvaneh; Chapter 10), IET, 2018. DOI

[BC8]    M. Moghadamfalahi, M. Akcakaya, D. Erdogmus, “Active Recursive Bayesian State Estimation for Big Biological Data”, in Signal Processing and Machine Learning for Biomedical Big Data (Editors Sejdic & Falk; Chapter 6), T&F, 2018. DOI

[BC7]    M. Higger, M. Akcakaya, U. Orhan, D. Erdogmus, “Sensor Failure Robust Fusion”, in Multisensor Data Fusion: From Algorithms and Architectural Designs to Applications (ed. Hassen Fourati), Taylor & Francis, Aug 2015. DOI

[BC6]    Y. Huang, D. Erdogmus, K.E. Hild II, M. Pavel, S. Mathan, “Mixed Effects Models for Single-Trial ERP Detection in Noninvasive Brain Computer Interface Design”, in Recent Progress in Biomedical Signal Processing (eds. J. Ramirez, J.M. Gorriz, E. Lang), Bentham Scientific Publishers, Chapter 12, pp. 171-180, Nov 2011.

[BC5]    D. Erdogmus, J.C. Principe, “Information Theoretic Learning”, in Encyclopedia of Artificial Intelligence (eds. J.R.R. Dopico, J. Dorado, A. Pazos), IGI Global, July 2008.

[BC4]    D. Erdogmus, U. Ozertem, T. Lan, “Information Theoretic Feature Selection and Projection”, (Chapter 1, pp. 1-22) in Speech, Audio, Image and Biomedical Signal Processing Using Neural Networks (eds. B. Prasad and S.R.M. Prasanna), Springer, 2008.

[BC3]    D. Erdogmus, J. Cho, J. Lan, M. Motter, J.C. Principe, “Adaptive Local Linear Modeling and Control of Nonlinear Dynamical Systems”, (Chapter 4, pp. 119-152) in Intelligent Control Systems Using Computational Intelligence Techniques, A. Ruano (ed.), IEE Publishing, UK, Apr 2004.

[BC2]    D. Erdogmus, J.C. Principe, R. Thogulua, “Information Theoretic Organization Principles for Autonomous Multiple-Agents”, (pp. 125-143) Recent Developments in Cooperative Control and Optimization, S. Butenko, R. Murphey, P. Pardalos (eds.), Kluwer Academic Publishers, New York, Nov 2003.

[BC1]    J.C. Principe, Y.N. Rao, D. Erdogmus, “Error Whitening Wiener Filters: Theory and Algorithms”, (Chapter 10) in Least-Mean-Square Adaptive Filters, S. Haykin, B. Widrow (eds.), Wiley, New York, Sep 2003.

Magazines

[M1]      D. Erdogmus, J.C. Principe, “Information Theoretic Learning: How It All Started and Where We Are Now”, (ENNS/INNS/JNNS) Tri-Society Newsletter, vol. 4, no. 2, pp. 4-7, 2006.

Thesis & Dissertation

[D]        D. Erdogmus, Information Theoretic Learning: Renyi’s Entropy and its Applications to Adaptive System Training, PhD Dissertation, University of Florida, Gainesville, FL, May 2002. (advisor: J.C. Principe)

[T]         D. Erdogmus, Optimal Trajectory Tracking Guidance of an Aircraft with Final Velocity Constraint, MS Thesis, Middle East Technical University, Ankara, Turkey, May 1999. (advisor: K. Leblebicioglu)