Deniz Erdoğmuş

发表

UNDERDETERMINED BLIND SOURCE SEPARATION USING A PROBABILISTIC SOURCE SPARSITY MODEL

L. Vielva, Deniz Erdoğmuş, J. Príncipe, 2001 .

Principal Curves as Skeletons of Tubular Objects

Deniz Erdogmus, Erhan Bas, Deniz Erdoğmuş, 2011, Neuroinformatics.

Towards a unification of information theoretic learning and kernel methods

Deniz Erdoğmuş, J. Príncipe, R. Jenssen, 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..

Blind source separation using Renyi's mutual information

Deniz Erdoğmuş, J. Príncipe, K. Hild, 2001, IEEE Signal Processing Letters.

Clustering using Renyi's entropy

Deniz Erdoğmuş, J. Príncipe, R. Jenssen, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Nonparametric Estimation and Tracking of the Mixing Matrix for Underdetermined Blind Source Separation

Deniz Erdogmus, Luis Vielva, C. Prı́ncipe, 2001 .

Information transfer through classifiers and its relation to probability of error

Deniz Erdoğmuş, J. Príncipe, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

COMPARISON OF ENTROPY AND MEAN SQUARE ERROR CRITERIA IN ADAPTIVE SYSTEM TRAINING USING HIGHER ORDER STATISTICS

Deniz Erdoğmuş, J. Príncipe, 2004 .

INFORMATION THEORETIC LEARNING: RENYI'S ENTROPY AND ITS APPLICATIONS TO ADAPTIVE SYSTEM TRAINING

Deniz Erdoğmuş, 2002 .

MRI image reconstruction via homomorphic signal processing

Deniz Erdogmus, Rui Yan, Jeffrey R. Fitzsimmons, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging.

Deniz Erdoğmuş, J. Príncipe, E. Larsson, 2003, Journal of magnetic resonance.

Online entropy manipulation: stochastic information gradient

Deniz Erdoğmuş, J. Príncipe, K. Hild, 2003, IEEE Signal Processing Letters.

Multivariate density estimation with optimal marginal parzen density estimation and gaussianization

Deniz Erdoğmuş, J. Príncipe, R. Jenssen, 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..

Spectral feature projections that maximize Shannon mutual information with class labels

Robert Jenssen, Deniz Erdogmus, Umut Ozertem, 2006, Pattern Recognit..

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

James M. Brown, Jennifer G. Dy, Andrew L Beers, 2018, JAMA ophthalmology.

Feature selection in MLPs and SVMs based on maximum output information

Deniz Erdogmus, Vikas Sindhwani, José Carlos Príncipe, 2004, IEEE Transactions on Neural Networks.

Independent Component Analysis and Blind Signal Separation: 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings (Lecture Notes in Computer Science)

Deniz Erdogmus, Simon Haykin, Jose C. Principe, 2006 .

Sensor-Based Cognitive State Assessment in a Mobile Environment

Santosh Mathan, Stephen Whitlow, Deniz Erdogmus, 2005 .

Local Linear ICA for Mutual Information Estimation in Feature Selection

D. Erdogmus, Deniz Erdoğmuş, Tian Lan, 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

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.

Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Verónica Bolón-Canedo, 2015, Translational vision science & technology.

Nonnegative non-redundant tensor decomposition

Deniz Erdoğmuş, Olexiy O. Kyrgyzov, 2013 .

Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense

Deniz Erdoğmuş, J. Príncipe, Y. Rao, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Method comparison of ultrasound and kilovoltage x-ray fiducial marker imaging for prostate radiotherapy targeting

Charles R. Thomas, Deniz Erdoğmuş, C. Fuller, 2006, Physics in medicine and biology.

A BRUTE-FORCE ANALYTICAL FORMULATION OF THE INDEPENDENT COMPONENTS ANALYSIS SOLUTION

M. C. Ozturk, Deniz Erdoğmuş, J. Príncipe, 2003 .

Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018, British Journal of Ophthalmology.

Sequential Feature Extraction Using Information-Theoretic Learning

Deniz Erdogmus, Jose C. Principe, Kenneth E. Hild, 2001 .

A Comparison between Nonlinear Mappings and Linear State Estimation to Model the Relation from Motor Cortical Neuronal Firing to Hand Movements

Deniz Erdogmus, Jose C. Principe, Justin C. Sanchez, 2002 .

Predicting aggression to others in youth with autism using a wearable biosensor

Matthew S. Goodwin, Deniz Erdoğmuş, Stratis Ioannidis, 2019, Autism research : official journal of the International Society for Autism Research.

Nonlinear channel equalization using multilayer perceptrons with information-theoretic criterion

D. Erdogmus, Deniz Erdoğmuş, J. Príncipe, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Convergence analysis of the information potential criterion in Adaline training

D. Erdogmus, Deniz Erdoğmuş, J. Príncipe, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Brain–Computer Interface With Language Model–Electroencephalography Fusion for Locked-In Syndrome

Brian Roark, Deniz Erdogmus, Umut Orhan, 2014, Neurorehabilitation and neural repair.

Manifold unwrapping using density ridges

Jonas Nordhaug Myhre, Deniz Erdoğmuş, R. Jenssen, 2016, 1604.01602.

Supervised Neural Network Training using the Minimum Error Entropy Criterion with Variable-Size and Finite-Support Kernel Estimates

Deniz Erdoğmuş, U. Ozertem, 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

Error whitening criterion for linear filter estimation

Deniz Erdoğmuş, J. Príncipe, Y. Rao, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

ADAPTIVE LINEAR OBSERVER FOR NONLINEAR SYSTEMS

Deniz Erdoğmuş, J. Príncipe, G. Thampi, 2002 .

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

James M. Brown, Matthew D. Li, Deniz Erdoğmuş, 2020, npj Digital Medicine.

Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning.

James M. Brown, Jennifer G. Dy, Deniz Erdoğmuş, 2019, JAMA ophthalmology.

ON-LINE MINIMUM MUTUAL INFORMATION METHOD FOR TIME-VARYING BLIND SOURCE SEPARATION

Deniz Erdoğmuş, J. Príncipe, K. Hild, 2001 .

Coding Scheme BCI Channel Bayes Update Yes No User Input Fig . 2 : BCI Decision Framework

Deniz Erdoğmuş, M. Çetin, M. Higger, 2016 .

Adaptive Inverse Control Using SOM based Multiple Models

Deniz Erdoğmuş, J. Príncipe, M. Motter, 2002 .

Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach

Deniz Erdogmus, Dana H. Brooks, Moritz Dannhauer, 2020, PETRA.

Towards respiration management in radiation treatment of lung tumors: Transferring regions of interest from planning CT to kilovoltage X-ray images

M. A. Yousuf, Deniz Erdoğmuş, Erhan Bas, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

EEG-based trial-by-trial texture classification during active touch

Safaa M. Eldeeb, Deniz Erdoğmuş, M. Akçakaya, 2020, Scientific Reports.

Computer-based image analysis for ROP: development of a quantitative index based on vascular tortuosity

Deniz Erdogmus, Michael F. Chiang, Daniel Lattin, 2013 .

Session MA2b: Brain machine interfaces II

Deniz Erdogmus, Brendan Allison, Deniz Erdoğmuş, 2009 .

Special Issue on Information Theoretic Signal Processing

Deniz Erdogmus, Jose C. Principe, Deniz Erdoğmuş, 2004 .

Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation

Deniz Erdogmus, Simon Haykin, Justinian Rosca, 2006 .

Information Theoretic Feature Selection and Projection

Deniz Erdogmus, Umut Ozertem, Tian Lan, 2008, Speech, Audio, Image and Biomedical Signal Processing using Neural Networks.

Asymptotic SNR-performance of some image combination techniques for phased-array MRI

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2004, Signal Process..

Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements

Murat Akçakaya, Deniz Erdogmus, Dana H. Brooks, 2015, IEEE Transactions on Signal Processing.

Effects of Catalytic Action and Ligand Binding on Conformational Ensembles of Adenylate Kinase.

David D. L. Minh, Deniz Erdoğmuş, D. Brooks, 2017, Biochemistry.

PREDICTING PROXIMAL AGGRESSION ONSET IN MINIMALLY-VERBAL YOUTH WITH AUTISM SPECTRUM DISORDER USING PRECEDING PHYSIOLOGICAL SIGNALS

Matthew S. Goodwin, Deniz Erdoğmuş, Stratis Ioannidis, 2017 .

Special issue on information theoretic learning.

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE transactions on neural networks.

Guest Editorial Special Issue on Information Theoretic Learning

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE Trans. Neural Networks.

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.

James M. Brown, Matthew D. Li, Deniz Erdoğmuş, 2020, NPJ digital medicine.

Recent Advances in Biomedical Signal Processing

Sabine Van Huffel, Misha Pavel, Alberto Olivares, 2012 .

Evaluation of a Deep Learning–Derived Quantitative Retinopathy of Prematurity Severity Scale

James M. Brown, Deniz Erdoğmuş, Stratis Ioannidis, 2020, Ophthalmology.

Analysis of lipid vesicle populations from microscopy video sequences

Deniz Erdoğmuş, Erhan Bas, Jernej Zupanc, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

14 FROM LINEAR ADAPTIVE FILTERING TO NONLINEAR INFORMATION PROCESSING

Rabab K. Ward, Petar M. Djuric, Sergios Theodoridis, 2006 .

Application of a Quantitative Image Analysis Scale Using Deep Learning for Detection of Clinically Significant ROP

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018 .

Effect of engineered TiO2 and ZnO nanoparticles on erythrocytes, platelet-rich plasma and giant unilamelar phospholipid vesicles

Deniz Erdoğmuş, H. Hägerstrand, V. Kralj-Iglič, 2013, BMC Veterinary Research.

Artificial intelligence in retinopathy of prematurity (ROP): diagnostic performance of a supervised machine learning system (i-ROP ASSIST)

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018 .

Independent Component Analysis and Blind Source Separation

Allan Kardec Barros, Deniz Erdogmus, José Carlos Príncipe, 2007, Signal Processing.

Computationally Efficient Exact Calculation of Kernel Density Derivatives

Jonas Nordhaug Myhre, Deniz Erdoğmuş, M. Shaker, 2014, Journal of Signal Processing Systems.

Underdetermined blind source separation in a time-varying environment

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing

Deniz Erdogmus, Umut Ozertem, Andras Gruber, 2007, 2007 International Joint Conference on Neural Networks.

Nonparametric Snakes

Deniz Erdogmus, Umut Ozertem, Deniz Erdoğmuş, 2007, IEEE Transactions on Image Processing.

Mean Shift Spectral Clustering for Perceptual Image Segmentation

Deniz Erdogmus, Umut Ozertem, Tian Lan, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Computationally Efficient Exact Calculation of Kernel Density Derivatives

Deniz Erdogmus, Jonas Nordhaug Myhre, Matineh Shaker, 2015, J. Signal Process. Syst..

Renyi's Entropy, Divergence and Their Nonparametric Estimators

Deniz Erdogmus, Dongxin Xu, Deniz Erdoğmuş, 2010, Information Theoretic Learning.

Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience

Deniz Erdogmus, Lisa Feldman Barrett, Dana H Brooks, 2020, Scientific reports.

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning pdf

Murat Akçakaya, Deniz Erdogmus, Jennifer G. Dy, 2016, J. Mach. Learn. Res..

A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces

M A Lebedev, M A L Nicolelis, S-P Kim, 2006, Journal of neural engineering.

Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach

J.C. Principe, M.C. Ozturk, B. Davis, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

A framework for rapid visual image search using single-trial brain evoked responses

Misha Pavel, Santosh Mathan, Deniz Erdogmus, 2011, Neurocomputing.

Experimental Design under the Bradley-Terry Model

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2018, IJCAI.

Locally Defined Principal Curves and Surfaces

Deniz Erdogmus, Umut Ozertem, Deniz Erdoğmuş, 2011, J. Mach. Learn. Res..

SSVEP BCI and Eye Tracking Use by Individuals With Late-Stage ALS and Visual Impairments

Matt Higger, Deniz Erdogmus, Fernando Quivira, 2020, Frontiers in Human Neuroscience.

EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training

Emiliano Santarnecchi, Alvaro Pascual-Leone, Christopher S. Y. Benwell, 2017, Brain Topography.

Fast and Accurate Ranking Regression

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2020, AISTATS.

Towards fish-eye camera based in-home activity assessment

Misha Pavel, Deniz Erdogmus, Umut Ozertem, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Parzen particle filters

Deniz Erdogmus, José Carlos Príncipe, Tue Lehn-Schiøler, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind equalization of multilevel signals using support vector machines

Deniz Erdogmus, Marcelino Lázaro, Ignacio Santamaría, 2004, 2004 12th European Signal Processing Conference.

M-Estimation-Based Subspace Learning for Brain Computer Interfaces

Pau Closas, Deniz Erdoğmuş, Berkan Kadıoğlu, 2018, IEEE Journal of Selected Topics in Signal Processing.

Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis

Deniz Erdogmus, José Carlos Príncipe, Umut Ozertem, 2006, J. VLSI Signal Process..

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2006, J. VLSI Signal Process..

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..

Gaussianizing Transformations for ICA

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, ICA.

On the convergence of SIPEX: a simultaneous principal components extraction algorithm

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Simultaneous extraction of Principal Components using givens rotations and output variances

Jing Zhao, Deniz Erdogmus, José Carlos Príncipe, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2002, EURASIP J. Adv. Signal Process..

Self-Organizing ITL Principles for Unsupervised Learning

Deniz Erdogmus, Dongxin Xu, Sudhir Rao, 2010, Information Theoretic Learning.

Information Theoretic Learning

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2005, Encyclopedia of Artificial Intelligence.

Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK

Deniz Erdogmus, José Carlos Príncipe, Umut Ozertem, 2008, Signal Process..

From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems

J.C. Principe, D. Erdogmus, Deniz Erdoğmuş, 2006, IEEE Signal Processing Magazine.

An analysis of entropy estimators for blind source separation

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, Signal Process..

Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2004, ICA.

Nonlinear independent component analysis by homomorphic transformation of the mixtures

D. Erdogmus, Deniz Erdoğmuş, J. Príncipe, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Minimax Mutual Information Approach for Independent Component Analysis

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, Neural Computation.

Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, Natural Computing.

INDEPENDENT COMPONENT ANALYSIS USING JAYNES' MAXIMUM ENTROPY PRINCIPLE

Deniz Erdogmus, Jose C. Principe, Yadunandana N. Rao, 2003 .

Blind source separation using Renyi's -marginal entropies

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, Neurocomputing.

Generalized information potential criterion for adaptive system training

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2002, IEEE Trans. Neural Networks.

Independent components analysis using Renyi's mutual information and Legendre density estimation

D. Erdogmus, Deniz Erdoğmuş, J. Príncipe, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

ON-LINE MINIMUM MUTUAL INFORMATION METHOD FOR TIME-VARYING BLIND SOURCE SEPARATION

Deniz Erdoğmuş, J. Príncipe, K. Hild, 2001 .

Toward a severity index for ROP: An unsupervised approach

Deniz Erdogmus, Michael F. Chiang, Esra Ataer Cansizoglu, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Manifold learning by preserving distance orders

Deniz Erdogmus, Esra Ataer Cansizoglu, Murat Akçakaya, 2014, Pattern Recognit. Lett..

Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks pdf

Deniz Erdogmus, Ali Gholipour, Seyed Sadegh Mohseni Salehi, 2017, MLMI@MICCAI.

Mean shift spectral clustering

Robert Jenssen, Deniz Erdogmus, Umut Ozertem, 2008, Pattern Recognit..

Spectral Clustering with Mean Shift Preprocessing

D. Erdogmus, U. Ozertem, Deniz Erdoğmuş, 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience

Jennifer G. Dy, Deniz Erdoğmuş, L. F. Barrett, 2020, Scientific Reports.

Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips

Deniz Erdogmus, Ashutosh Singh, Ashutosh Kumar Singh, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Synergistic Activation Patterns of Hand Muscles in Left-and Right-Hand Dominant Individuals

Spencer Lake Jacobs-Skolik, Mariusz P. Furmanek, Deniz Erdoğmuş, 2021, Journal of human kinetics.

Continuously Differentiable Sample-Spacing Entropy Estimation

Deniz Erdogmus, Ismail Uysal, Umut Ozertem, 2008, IEEE Transactions on Neural Networks.

A Novel Switching Scheme Between Adaptive Information Algorithms

Deniz Erdogmus, José Carlos Príncipe, Seungju Han, 2007, 2007 International Joint Conference on Neural Networks.

Minimum error entropy Luenberger observer

Jian-Wu Xu, D. Erdogmus, Deniz Erdoğmuş, 2005, Proceedings of the 2005, American Control Conference, 2005..

A new classifier based on information theoretic learning with unlabeled data

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2005, Neural Networks.

Stochastic blind equalization based on PDF fitting using Parzen estimator

Deniz Erdogmus, José Carlos Príncipe, Marcelino Lázaro, 2005, IEEE Transactions on Signal Processing.

Adaptive local linear modelling and control of nonlinear dynamical systems

Deniz Erdogmus, Jose C. Principe, Mark Motter, 2005 .

Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2003, IEEE Trans. Signal Process..

Stochastic error whitening algorithm for linear filter estimation with noisy data

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2003, Neural Networks.

Recursive Least Squares for an Entropy Regularized MSE Cost Function

Amparo Alonso-Betanzos, Deniz Erdogmus, José Carlos Príncipe, 2003, ESANN.

Do Hebbian synapses estimate entropy?

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Adaptive Inverse Control Using SOM based Multiple Models

Deniz Erdoğmuş, J. Príncipe, M. Motter, 2002 .

AN ON-LINE ADAPTATION ALGORITHM FOR ADAPTIVE SYSTEM TRAINING WITH MINIMUM ERROR ENTROPY: STOCHASTIC INFORMATION GRADIENT

Deniz Erdogmus, Jose C. Principe, Deniz Erdoğmuş, 2001 .

Variational Inference from Ranked Samples with Features

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2019, ACML.

Classification and comparison via neural networks

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2019, Neural Networks.

From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels

Paolo Bonato, Deniz Erdogmus, Cagdas D. Onal, 2019, PETRA.

Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer

Murat Akcakaya, Deniz Erdoğmuş, Niklas Smedemark-Margulies, 2021, IEEE Signal Processing Letters.

Robust matched filtering in the feature space

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2005, 2005 13th European Signal Processing Conference.

Speech enhancement in discontinuous transmission systems using the constrained-stability least-mean-squares algorithm.

E W Lang, J M Górriz, J Ramírez, 2008, The Journal of the Acoustical Society of America.

Automated diagnosis of plus disease in retinopathy of prematurity using deep learning

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2018 .

A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment.

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2019, JAMA ophthalmology.

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Deniz Erdogmus, 2015, Comput. Methods Programs Biomed..

Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis.

Deniz Erdogmus, Ryan Swan, Jayashree Kalpathy-Cramer, 2016, Ophthalmology.

Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.

Deniz Erdogmus, Jayashree Kalpathy-Cramer, Esra Ataer-Cansizoglu, 2016, JAMA ophthalmology.

Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2018, Medical Imaging.

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

Stratis Ioannidis, James M. Brown, Deniz Erdogmus, 2020, Translational vision science & technology.

Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability.

Deniz Erdogmus, Ryan Swan, Jayashree Kalpathy-Cramer, 2016, Ophthalmology.

PLUS DISEASE DIAGNOSIS IN RETINOPATHY OF PREMATURITY: Vascular Tortuosity as a Function of Distance from Optic Disk

Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, M. Chiang, 2013, Retina.

A Neural Network Perspective to Extended Luenberger Observers

Deniz Erdogmus, Jose C. Principe, A. Umut Genç, 2002 .

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2003, Neural Networks.

Minimizing Fisher information of the error in supervised adaptive filter training

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Recursive Renyi's entropy estimator for adaptive filtering

Jian-Wu Xu, D. Erdogmus, M. C. Ozturk, 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

Automated localization of wrinkles and the dermo-epidermal junction in obliquely oriented reflectance confocal microscopic images of human skin

Deniz Erdogmus, Kivanc Kose, Milind Rajadhyaksha, 2013, Photonics West - Biomedical Optics.

Local Linear PID Controllers for Nonlinear Control

Jeongho Cho, Deniz Erdogmus, José Carlos Príncipe, 2005, Control. Intell. Syst..

Experimental upper bound for the performance of convolutive source separation methods

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, IEEE Transactions on Signal Processing.

Convolutive blind source separation by minimizing mutual information between segments of signals

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs

Matt Higger, Murat Akçakaya, Deniz Erdogmus, 2015, IEEE Signal Processing Letters.

A History-based Stopping Criterion in Recursive Bayesian State Estimation

Murat Akcakaya, Deniz Erdogmus, Aziz Kocanaogullari, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Target tracking via recursive Bayesian state estimation in cognitive radar networks

Murat Akçakaya, Deniz Erdogmus, Yijian Xiang, 2019, Signal Process..

Target tracking via recursive Bayesian state estimation in radar networks

Murat Akçakaya, Deniz Erdogmus, Yijian Xiang, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Feature extraction using information-theoretic learning

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map

Jeongho Cho, Deniz Erdogmus, José Carlos Príncipe, 2006, IEEE Transactions on Neural Networks.

Learning mappings in brain machine interfaces with echo state networks

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Optimizing the P300-based brain–computer interface: current status, limitations and future directions

D Thompson, D Erdogmus, L Bianchi, 2011, Journal of neural engineering.

Signal denoising using principal curves: Application to timewarping

Deniz Erdogmus, Umut Ozertem, Deniz Erdoğmuş, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning

Dominique Duncan, Rachael Garner, Deniz Erdoğmuş, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Nonlinear Adaptive Filtering with MEE, MCC, and Applications

Weifeng Liu, Deniz Erdogmus, Rodney Morejon, 2010, Information Theoretic Learning.

Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs

Pau Closas, Tales Imbiriba, Peng Wu, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases

Deniz Erdogmus, Sheng You, Jayashree Kalpathy-Cramer, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS)

Deniz Erdogmus, José Carlos Príncipe, Kyu-Hwa Jeong, 2007, Signal Process..

Quantifying spatio-temporal dependencies in epileptic ECOG

Deniz Erdogmus, José Carlos Príncipe, Anant Hegde, 2005, Signal Process..

The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2006, J. Frankl. Inst..

The Future of Human-in-the-Loop Cyber-Physical Systems

Deniz Erdogmus, Taskin Padir, Gunar Schirner, 2013, Computer.

Supporting Real-Time Cognitive State Classification on a Mobile Individual

Misha Pavel, Santosh Mathan, Michael C. Dorneich, 2007 .

Stimuli with opponent colors and higher bit rate enable higher accuracy for C-VEP BCI

Deniz Erdogmus, Hooman Nezamfar, Seyed Sadegh Mohseni Salehi, 2015, 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Lesion Normalization and Supervised Learning in Post-Traumatic Seizure Classification with Diffusion MRI

Deniz Erdoğmuş, P. Vespa, M. Rocca, 2021, medRxiv.

Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection

Simon K. Warfield, Deniz Erdogmus, Sanjay P. Prabhu, 2018, IEEE Access.

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

Deniz Erdogmus, Ali Gholipour, Seyed Sadegh Mohseni Salehi, 2017, IEEE Transactions on Medical Imaging.

EEG-assisted modulation of sound sources in the auditory scene

Murat Akçakaya, Deniz Erdogmus, Mohammad Moghadamfalahi, 2016, Biomed. Signal Process. Control..

Structured Adversarial Attack: Towards General Implementation and Better Interpretability pdf

Deniz Erdogmus, Yanzhi Wang, Sijia Liu, 2018, ICLR.

Automatic brain pose estimation in fetal MRI

Deniz Erdoğmuş, A. Gholipour, D. Karimi, 2023, Medical Imaging.

Noninvasive Brain–Computer Interfaces for Augmentative and Alternative Communication

Murat Akcakaya, Deniz Erdogmus, Mohammad Moghadamfalahi, 2014, IEEE Reviews in Biomedical Engineering.

Quantitative change of EEG and respiration signals during mindfulness meditation

Deniz Erdoğmuş, B. Oken, H. Wahbeh, 2014, Journal of NeuroEngineering and Rehabilitation.

Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration

Deniz Erdogmus, Ali Gholipour, Seyed Sadegh Mohseni Salehi, 2018, IEEE Transactions on Medical Imaging.

Learning Invariant Representations From EEG via Adversarial Inference

Ye Wang, Toshiaki Koike-Akino, Ozan Özdenizci, 2020, IEEE Access.

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals

Matthew S. Goodwin, Stratis Ioannidis, Deniz Erdogmus, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Neural correlates of visual perception in rapid serial visual presentation paradigms

Misha Pavel, Santosh Mathan, Deniz Erdogmus, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Optimization of focality and direction in dense electrode array transcranial direct current stimulation (tDCS)

Deniz Erdogmus, Moritz Dannhauer, Sergei Turovets, 2016, Journal of neural engineering.

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography

Deniz Erdogmus, José Carlos Príncipe, Anant Hegde, 2007, Comput. Intell. Neurosci..

Spatio-Temporal Clustering of Epileptic ECOG

J.C. Principe, D. Erdogmus, A. Hegde, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Synchronization analysis of epileptic ECOG data using SOM-based SI measure

J.C. Principe, D. Erdogmus, A. Hegde, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deniz Erdogmus, Jianbo Gao, José Carlos Príncipe, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

A SIFT-point distribution-based method for head pose estimation

Deniz Erdogmus, Peng Zhang, Esra Ataer Cansizoglu, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2004, Signal Process..

Image combination for high-field phased-array MRI

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio

Murat Akcakaya, Deniz Erdogmus, Jennifer G. Dy, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2004, NIPS.

Classification with EEC, Divergence Measures, and Error Bounds

Deniz Erdogmus, Dongxin Xu, Kenneth Hild, 2010, Information Theoretic Learning.

A Severity Score for Retinopathy of Prematurity

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2019, KDD.

Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry

Matthew S. Goodwin, Murat Akçakaya, Deniz Erdogmus, 2014, UbiComp.

Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules pdf

Deniz Erdogmus, Alireza Ramezani, Yunus Bicer, 2021, ArXiv.

Deniz Erdoğmuş, B. Oken, D. Klee, 2022, Frontiers in Human Neuroscience.

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

James M. Brown, Matthew D. Li, Deniz Erdoğmuş, 2020, npj Digital Medicine.

Comparing Autoregressive and Network Features for Classification of Depression and Anxiety

Deniz Erdoğmuş, Md Navid Akbar, Susan Whitfield-Gabrieli, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Cognitive State Estimation Based on EEG for Augmented Cognition

Tian Lan, D. Erdogmus, M. Pavel, 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks pdf

Simon K. Warfield, Deniz Erdogmus, Sanjay P. Prabhu, 2018, ArXiv.

Identifying informative features for ERP speller systems based on RSVP paradigm

Deniz Erdogmus, Jan P. H. van Santen, Tian Lan, 2010, ESANN.

Signal processing challenges in cognitive assistive technology [Exploratory DSP]

D. Erdogmus, M.R. Lightner, Deniz Erdoğmuş, 2008, IEEE Signal Processing Magazine.

Signal Processing Challenges in Cognitive Assistive Technology

Deniz Erdogmus, M. Lightner, Deniz Erdoğmuş, 2008 .

Error Whitening Wiener Filters: Theory and Algorithms

Deniz Erdogmus, Jose C. Principe, Y. N. Rao, 2005 .

Minor Surfaces are Boundaries of Mode-Based Clusters

Murat Akçakaya, Deniz Erdogmus, Esra Ataer Cansizoglu, 2015, IEEE Signal Processing Letters.

Information Force Clustering Using Directed Trees

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2003, EMMCVPR.

Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks

Deniz Erdogmus, Ozan Ozdenizci, Deniz Erdoğmuş, 2021, Inf. Sci..

Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis

Deniz Erdogmus, Jeff Lichtman, Erhan Bas, 2012, J. Vis. Commun. Image Represent..

Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution

Deniz Erdogmus, Umut Ozertem, Deniz Erdoğmuş, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Recursive Bayesian Coding for BCIs

Murat Akcakaya, Matt Higger, Deniz Erdogmus, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Information cut for clustering using a gradient descent approach

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2007, Pattern Recognit..

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

Sergio Cruces, Deniz Erdogmus, Juan Manuel Górriz, 2009, IEEE Signal Processing Letters.

Decoding complex imagery hand gestures

Deniz Erdogmus, Mohammad Moghadamfalahi, Fernando Quivira, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis of Underlying Causes of Inter-expert Disagreement in Retinopathy of Prematurity Diagnosis

D Erdogmus, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, 2014, Methods of Information in Medicine.

Observer and feature analysis on diagnosis of retinopathy of prematurity

Deniz Erdogmus, Sheng You, Michael F. Chiang, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Modulating fluid intelligence performance through combined cognitive training and brain stimulation

Misha Pavel, Santosh Mathan, Deniz Erdogmus, 2018, Neuropsychologia.

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction

Deniz Erdoğmuş, T. Koike-Akino, Ozan Özdenizci, 2020, IEEE Signal Processing Letters.

Disentangled Adversarial Transfer Learning for Physiological Biosignals

Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A new approach for the reassignment of time-frequency representations

Igor Djurovic, Deniz Erdogmus, Ervin Sejdic, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Graphical Model for Online Auditory Scene Modulation Using EEG Evidence for Attention

Murat Akcakaya, Deniz Erdogmus, Barbara G. Shinn-Cunningham, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Toward a brain interface for tracking attended auditory sources

Murat Akçakaya, Deniz Erdogmus, Mohammad Moghadamfalahi, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Accelerated Experimental Design for Pairwise Comparisons pdf

Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy, 2019, SDM.

Polytope kernel density estimates on Delaunay graphs

Deniz Erdogmus, Erhan Bas, Deniz Erdoğmuş, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects pdf

Deniz Erdogmus, Barry Oken, Melanie Fried-Oken, 2019, GBCIC.

Entropy minimization for supervised digital communications channel equalization

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2002, IEEE Trans. Signal Process..

Adversarial Deep Learning in EEG Biometrics

Ye Wang, Toshiaki Koike-Akino, Ozan Özdenizci, 2019, IEEE Signal Processing Letters.

Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm

Deniz Erdogmus, Sheng You, Esra Ataer Cansizoglu, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

A novel delta check method for detecting laboratory errors

Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

A comparison of temporal windowing schemes for single-trial ERP detection

Deniz Erdogmus, Tian Lan, Catherine Huang, 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models

Tales Imbiriba, Deniz Erdogmus, Sumientra Rampersad, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals

Matthew S. Goodwin, Stratis Ioannidis, Deniz Erdogmus, 2018, PervasiveHealth.

Real-time automatic fetal brain extraction in fetal MRI by deep learning

Simon K. Warfield, Deniz Erdogmus, Seyed Sadegh Mohseni Salehi, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Continuous Assessment of Gait Velocity in Parkinson's Disease from Unobtrusive Measurements

D. Erdogmus, M. Pavel, H. Jimison, 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

Lipid Vesicle Shape Analysis from Populations Using Light Video Microscopy and Computer Vision

Deniz Erdoğmuş, A. Iglič, V. Kralj-Iglič, 2014, PloS one.

Biosensor prediction of aggression in youth with autism using kernel-based methods

Matthew S. Goodwin, Tales Imbiriba, James Heathers, 2020, PETRA.

Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation

Deniz Erdogmus, José Carlos Príncipe, Marcelino Lázaro, 2004, IEEE Transactions on Signal Processing.

Image construction methods for phased array magnetic resonance imaging

Deniz Erdogmus, Rui Yan, Jose C Principe, 2004, Journal of magnetic resonance imaging : JMRI.

Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture

Deniz Erdogmus, Dana H. Brooks, Sezen Yagmur Günay, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Motor cortex mapping using active gaussian processes

Tales Imbiriba, Mathew Yarossi, Eugene Tunik, 2020, PETRA.

Vector quantization using information theoretic concepts

Deniz Erdogmus, José Carlos Príncipe, Anant Hegde, 2005, Natural Computing.

Simon K. Warfield, Deniz Erdogmus, Sanjay P. Prabhu, 2018 .

Structure-based level set method for automatic retinal vasculature segmentation

Deniz Erdogmus, Michael F. Chiang, Esra Ataer Cansizoglu, 2014, EURASIP J. Image Video Process..

Translating sEMG signals to continuous hand poses using recurrent neural networks

Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI pdf

Deniz Erdogmus, Dominique Duncan, Rachael Garner, 2020, PETRA.

Trellis-based circle detection

D. Erdogmus, K.E. Hild, M. Pavel, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

A mutual information extension to the matched filter

Deniz Erdogmus, José Carlos Príncipe, Rati Agrawal, 2005, Signal Process..

Path-based spectral clustering for decoding fast time-varying MIMO channels

I. Santamaria, D. Erdogmus, U. Ozertem, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Classification Active Learning Based on Mutual Information

Murat Akçakaya, Deniz Erdogmus, Jennifer G. Dy, 2016, Entropy.

Supervised synaptic weight adaptation for a spiking neuron

J.C. Principe, D. Erdogmus, Y.N. Rao, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology

Deniz Erdogmus, Umut Ozertem, William R. Hersh, 2009, Medical Imaging.

Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis

Deniz Erdogmus, Tian Lan, Deniz Erdoğmuş, 2007, J. VLSI Signal Process..

Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection

Deniz Erdogmus, Umut Ozertem, Yonghong Huang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2002, IEEE Trans. Signal Process..

AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference

Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus, 2020, IEEE Access.

AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis pdf

Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus, 2020, ArXiv.

Measurement of brain iron distribution in Hallevorden‐Spatz syndrome

Deniz Erdogmus, Erhan Bas, Deniz Erdoğmuş, 2010, Journal of magnetic resonance imaging : JMRI.

Quasi-sliding mode control strategy based on multiple-linear models

Jeongho Cho, Deniz Erdogmus, José Carlos Príncipe, 2007, Neurocomputing.

Code-VEP vs. Eye Tracking: A Comparison Study

Matt Higger, Deniz Erdogmus, Hooman Nezamfar, 2018, Brain sciences.

Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks

Misha Pavel, Santosh Mathan, Deniz Erdogmus, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks

D. Erdogmus, S. Mathan, Y. Huang, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data

Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix, 2017, Medical Image Anal..

A Robust Fusion Algorithm for Sensor Failure

Matt Higger, Murat Akçakaya, Deniz Erdogmus, 2013, IEEE Signal Processing Letters.

Modified Kalman filter based method for training state-recurrent multilayer perceptrons

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics

Deniz Erdogmus, Fernando Quivira, Sezen Yagmur Günay, 2017, PETRA.

Salient EEG Channel Selection in Brain Computer Interfaces by Mutual Information Maximization

Tian Lan, D. Erdogmus, M. Pavel, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Linear Least-Squares Based Methods for Neural Networks Learning

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2003, ICANN.

Real-time Deep Registration With Geodesic Loss pdf

Deniz Erdogmus, Seyed Sadegh Mohseni Salehi, Ali Gholipour, 2018, ArXiv.

Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2005, EMMCVPR.

RSVP keyboard: An EEG based typing interface

Brian Roark, Deniz Erdogmus, Kenneth E. Hild, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks

Murat Akcakaya, Deniz Erdogmus, Andac Demir, 2021, Biomed. Signal Process. Control..

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation

Pau Closas, Tales Imbiriba, Peng Wu, 2020, 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS).

Change in physiological signals during mindfulness meditation

Deniz Erdoğmuş, B. Oken, H. Wahbeh, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Reduction of multi-dimensional laboratory data to a two-dimensional plot: a novel technique for the identification of laboratory error

Deniz Erdogmus, Todd K. Leen, Steven C. Kazmierczak, 2007, Clinical chemistry and laboratory medicine.

Mixed Effects Models for Single-Trial ERP Detection in Noninvasive Brain Computer Interface Design

Misha Pavel, Santosh Mathan, Deniz Erdogmus, 2011 .

A generic unfolding algorithm for manifolds estimated by local linear approximations

Robert Jenssen, Deniz Erdogmus, Jonas Nordhaug Myhre, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Mixed effects models for EEG evoked response detection

Yonghong Huang, D. Erdogmus, M. Pavel, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach

Md Navid Akbar, Deniz Erdoğmuş, M. Sommer, 2020, PETRA.

From adaptive linear to information filtering

D. Erdogmus, Deniz Erdoğmuş, J. Príncipe, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

Brain–Computer Interface With Language Model–Electroencephalography Fusion for Locked-In Syndrome

Deniz Erdoğmuş, Brian Roark, Betts Peters, 2014, Neurorehabilitation and neural repair.

Brain Interface to Control a Tele-Operated Robot

Deniz Erdogmus, Taskin Padir, Hooman Nezamfar, 2013 .

Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS

Murat Akçakaya, Deniz Erdogmus, Dana H. Brooks, 2018, J. Signal Process. Syst..

Utilization of temporal trial dependency in ERP based BCIs

Murat Akçakaya, Deniz Erdogmus, Dana H. Brooks, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

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Deniz Erdoğmuş, Betts Peters, B. Oken, 2022 .

Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2004, J. VLSI Signal Process..