Blind source separation using Renyi's mutual information. - Kenneth E. Hild II; Deniz Erdogmus; José C. Príncipe (IEEE Signal Process. Lett., 2001)

Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix. - Deniz Erdogmus; Kenneth E. Hild II; José C. Príncipe; Luis Vielva (EUSIPCO, 2002)

Blind deconvolution with minimum Renyi's entropy. - Deniz Erdogmus; José C. Príncipe; Luis Vielva (EUSIPCO, 2002)

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. - Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe; Oscar Fontenla-Romero; Luis Vielva (EUSIPCO, 2002)

Estimation of the mixing matrix for underdetermined blind source separation using spectral estimation techniques. - Luis Vielva; Ignacio Santamaría; Carlos Pantaleón; Jesús Ibáñez 002; Deniz Erdogmus; José Carlos Príncipe (EUSIPCO, 2002)

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. - Deniz Erdogmus; José Carlos Príncipe; Luis Vielva; David Luengo (ICANN, 2002)

Simultaneous extraction of Principal Components using givens rotations and output variances. - Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe; Jing Zhao; Kenneth E. Hild II (ICASSP, 2002)

Blind source separation of time-varying instantaneous mixtures using an on-line algorithm. - Kenneth E. Hild II; Deniz Erdogmus; José C. Príncipe (ICASSP, 2002)

Underdetermined blind source separation in a time-varying environment. - Luis Vielva; Deniz Erdogmus; Carlos Pantaleón; Ignacio Santamaría; J. A. Pereda; José C. Príncipe (ICASSP, 2002)

Do Hebbian synapses estimate entropy? - Deniz Erdogmus; José C. Príncipe; Kenneth E. Hild II (NNSP, 2002)

A recursive Renyi's entropy estimator. - Deniz Erdogmus; José C. Príncipe; Sung-Phil Kim; Justin C. Sanchez (NNSP, 2002)

Modified Kalman filter based method for training state-recurrent multilayer perceptrons. - Deniz Erdogmus; Justin C. Sanchez; José C. Príncipe (NNSP, 2002)

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns. - Justin C. Sanchez; Sung-Phil Kim; Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe; Johan Wessberg; Miguel A. L. Nicolelis (NNSP, 2002)

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection. - Deniz Erdogmus; Yadunandana N. Rao; Kenneth E. Hild II; José C. Príncipe (EURASIP J. Adv. Signal Process., 2002)

Insights on the relationship between probability of misclassification and information transfer through classifiers. - Deniz Erdogmus; José Carlos Príncipe (Int. J. Comput. Syst. Signals, 2002)

Blind source separation using Renyi's -marginal entropies. - Deniz Erdogmus; Kenneth E. Hild II; José Carlos Príncipe (Neurocomputing, 2002)

Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation. - Deniz Erdogmus; José Carlos Príncipe; Kenneth E. Hild II (Nat. Comput., 2002)

Generalized information potential criterion for adaptive system training. - Deniz Erdogmus; José Carlos Príncipe (IEEE Trans. Neural Networks, 2002)

An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems. - Deniz Erdogmus; José C. Príncipe (IEEE Trans. Signal Process., 2002)

Entropy minimization for supervised digital communications channel equalization. - Ignacio Santamaría; Deniz Erdogmus; José Carlos Príncipe (IEEE Trans. Signal Process., 2002)

Information Force Clustering Using Directed Trees. - Robert Jenssen; Deniz Erdogmus; Kenneth E. Hild II; José Carlos Príncipe; Torbjørn Eltoft (EMMCVPR, 2003)

Recursive Least Squares for an Entropy Regularized MSE Cost Function. - Deniz Erdogmus; Yadunandana N. Rao; José Carlos Príncipe; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2003)

Accelerating the convergence speed of neural networks learning methods using least squares. - Oscar Fontenla-Romero; Deniz Erdogmus; José Carlos Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo (ESANN, 2003)

Linear Least-Squares Based Methods for Neural Networks Learning. - Oscar Fontenla-Romero; Deniz Erdogmus; José Carlos Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo (ICANN, 2003)

On the convergence of SIPEX: a simultaneous principal components extraction algorithm. - Deniz Erdogmus; Yadunandana N. Rao; M. Can Ozturk; Luis Vielva; José C. Príncipe (ICASSP (2), 2003)

A hybrid subspace projection method for system identification. - Sung-Phil Kim; Yadunandana N. Rao; Deniz Erdogmus; José C. Príncipe (ICASSP (6), 2003)

Echo cancellation by global optimization of Kautz filters using an information theoretic criterion. - Ching-An Lai; Deniz Erdogmus; José C. Príncipe (ICASSP (6), 2003)

Matched pdf-based blind equalization. - Marcelino Lázaro; Ignacio Santamaría; Carlos Pantaleón; Deniz Erdogmus; José C. Príncipe (ICASSP (4), 2003)

Image combination for high-field phased-array MRI. - Rui Yan; Deniz Erdogmus; Erik G. Larsson; José C. Príncipe; Jeffrey R. Fitzsimmons (ICASSP (5), 2003)

Supervised synaptic weight adaptation for a spiking neuron. - Bryan A. Davis; Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe (IJCNN, 2003)

Accurate initialization of neural network weights by backpropagation of the desired response. - Deniz Erdogmus; Oscar Fontenla-Romero; José C. Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo; Robert Jenssen (IJCNN, 2003)

Clustering using Renyi's entropy. - Robert Jenssen; Kenneth E. Hild II; Deniz Erdogmus; José C. Príncipe; Torbjørn Eltoft (IJCNN, 2003)

Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. - Sung-Phil Kim; Justin C. Sanchez; Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe; Miguel A. L. Nicolelis (IJCNN, 2003)

Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach. - Mustafa C. Ozturk; José C. Príncipe; Bryan A. Davis; Deniz Erdogmus (IJCNN, 2003)

Error whitening criterion for linear filter estimation. - Yadunandana N. Rao; Deniz Erdogmus; José C. Príncipe (IJCNN, 2003)

SOM-based similarity index measure: quantifying interactions between multivariate structures. - Anant Hegde; Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe; Jianbo Gao (NNSP, 2003)

Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm. - Dorothee E. Marossero; Deniz Erdogmus; Neil R. Euliano; José C. Príncipe; Kenneth E. Hild II (NNSP, 2003)

Fast error whitening algorithms for system identification and control. - Yadunandana N. Rao; Deniz Erdogmus; Geetha Y. Rao; José C. Príncipe (NNSP, 2003)

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. - Sung-Phil Kim; Justin C. Sanchez; Deniz Erdogmus; Yadunandana N. Rao; Johan Wessberg; José Carlos Príncipe; Miguel A. L. Nicolelis (Neural Networks, 2003)

Stochastic error whitening algorithm for linear filter estimation with noisy data. - Yadunandana N. Rao; Deniz Erdogmus; Geetha Y. Rao; José Carlos Príncipe (Neural Networks, 2003)

Online entropy manipulation: stochastic information gradient. - Deniz Erdogmus; Kenneth E. Hild II; José C. Príncipe (IEEE Signal Process. Lett., 2003)

Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training. - Deniz Erdogmus; José C. Príncipe (IEEE Trans. Signal Process., 2003)

Blind equalization of multilevel signals using support vector machines. - Marcelino Lázaro; Ignacio Santamaría; Javier Vía; Deniz Erdogmus (EUSIPCO, 2004)

Gaussianizing Transformations for ICA. - Deniz Erdogmus; Yadunandana N. Rao; José Carlos Príncipe (ICA, 2004)

On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions. - Luis Vielva; Ignacio Santamaría; Jesús Ibáñez 002; Deniz Erdogmus; José Carlos Príncipe (ICA, 2004)

Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. - Jian-Wu Xu; Deniz Erdogmus; Yadunandana N. Rao; José Carlos Príncipe (ICA, 2004)

Mixture of competitive linear models for phased-array magnetic resonance imaging. - Deniz Erdogmus; Rui Yan; Erik G. Larsson; José C. Príncipe; Jeffrey R. Fitzsimmons (ICASSP (5), 2004)

Parzen particle filters. - Tue Lehn-Schiøler; Deniz Erdogmus; José C. Príncipe (ICASSP (5), 2004)

Accurate linear parameter estimation in colored noise. - Yadunandana N. Rao; Deniz Erdogmus; José C. Príncipe (ICASSP (2), 2004)

Minimizing Fisher information of the error in supervised adaptive filter training. - Jian-Wu Xu; Deniz Erdogmus; José C. Príncipe (ICASSP (5), 2004)

Nonlinear independent component analysis by homomorphic transformation of the mixtures. - Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe (IJCNN, 2004)

Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. - Anant Hegde; Deniz Erdogmus; Tue Lehn-Schiøler; Yadunandana N. Rao; José C. Príncipe (IJCNN, 2004)

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. - Robert Jenssen; Deniz Erdogmus; José Carlos Príncipe; Torbjørn Eltoft (NIPS, 2004)

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation. - Deniz Erdogmus; Yadunandana N. Rao; Hemanth Peddaneni; Anant Hegde; José C. Príncipe (EURASIP J. Adv. Signal Process., 2004)

Minimax Mutual Information Approach for Independent Component Analysis. - Deniz Erdogmus; Kenneth E. Hild II; Yadunandana N. Rao; José Carlos Príncipe (Neural Comput., 2004)

Asymptotic SNR-performance of some image combination techniques for phased-array MRI. - Deniz Erdogmus; Erik G. Larsson; Rui Yan; José Carlos Príncipe; Jeffrey R. Fitzsimmons (Signal Process., 2004)

Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat. - Deniz Erdogmus; Erik G. Larsson; Rui Yan; José Carlos Príncipe; Jeffrey R. Fitzsimmons (Signal Process., 2004)

Guest Editorial Special Issue on Information Theoretic Learning. - José Carlos Príncipe; Erkki Oja; Lei Xu 001; Andrzej Cichocki; Deniz Erdogmus (IEEE Trans. Neural Networks, 2004)

Feature selection in MLPs and SVMs based on maximum output information. - Vikas Sindhwani; Subrata Rakshit; Dipti Deodhare; Deniz Erdogmus; José Carlos Príncipe; Partha Niyogi (IEEE Trans. Neural Networks, 2004)

Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. - Deniz Erdogmus; Kenneth E. Hild II; José C. Príncipe; Marcelino Lázaro; Ignacio Santamaría (IEEE Trans. Signal Process., 2004)

Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. - Deniz Erdogmus; José C. Príncipe (J. VLSI Signal Process., 2004)

Minimum error entropy Luenberger observer. - Jian-Wu Xu; Deniz Erdogmus; José C. Príncipe (ACC, 2005)

Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. - Robert Jenssen; Deniz Erdogmus; Kenneth E. Hild II; José Carlos Príncipe; Torbjørn Eltoft (EMMCVPR, 2005)

Estimating cognitive state using EEG signals. - Tian Lan 007; André Adami; Deniz Erdogmus; Misha Pavel (EUSIPCO, 2005)

Detection of nonlinearly distorted signals using mutual information. - Umut Ozertem; Deniz Erdogmus; Ignacio Santamaría (EUSIPCO, 2005)

Robust matched filtering in the feature space. - Ignacio Santamaría; Deniz Erdogmus; Rati Agrawal; José C. Príncipe (EUSIPCO, 2005)

An adaptive motion estimation scheme using maximum mutual information criteria. - Jing Zhao; Deniz Erdogmus; Cancan Huang; Dapeng Wu 001; Yuguang Fang (EUSIPCO, 2005)

Supervised training of adaptive systems with partially labeled data. - Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe (ICASSP (5), 2005)

MRI Image Reconstruction via Homomorphic Signal Processing. - Jeffrey R. Fitzsimmons; Rui Yan; Deniz Erdogmus (ICASSP (2), 2005)

The Laplacian spectral classifier. - Robert Jenssen; Deniz Erdogmus; José C. Príncipe; Torbjørn Eltoft (ICASSP (5), 2005)

Learning mappings in brain machine interfaces with echo state networks. - Yadunandana N. Rao; Sung-Phil Kim; Justin C. Sanchez; Deniz Erdogmus; José C. Príncipe; Jose M. Carmena; Mikhail A. Lebedev 001; Miguel A. L. Nicolelis (ICASSP (5), 2005)

An information-theoretic perspective to kernel independent components analysis. - Jian-Wu Xu; Deniz Erdogmus; Robert Jenssen; José C. Príncipe (ICASSP (5), 2005)

Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection. - Rui Yan; Guojun He; Deniz Erdogmus; Sung-Phil Kim; José C. Príncipe; Yijun Liu (ICASSP (2), 2005)

Feature selection by independent component analysis and mutual information maximization in EEG signal classification. - Tian Lan 007; Deniz Erdogmus; André Adami; Michael Pavel (IJCNN, 2005)

Maximally discriminative spectral feature projections using mutual information. - Umut Ozertem; Deniz Erdogmus (IJCNN, 2005)

Local Linear PID Controllers for Nonlinear Control. - Jing Lan; Jeongho Cho; Deniz Erdogmus; José C. Príncipe; Mark A. Motter; Jian-Wu Xu (Control. Intell. Syst., 2005)

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization. - Sung-Phil Kim; Yadunandana N. Rao; Deniz Erdogmus; Justin C. Sanchez; Miguel A. L. Nicolelis; José C. Príncipe (EURASIP J. Adv. Signal Process., 2005)

Fast error whitening algorithms for system identification and control with noisy data. - Yadunandana N. Rao; Deniz Erdogmus; Geetha Y. Rao; José C. Príncipe (Neurocomputing, 2005)

Vector quantization using information theoretic concepts. - Tue Lehn-Schiøler; Anant Hegde; Deniz Erdogmus; José Carlos Príncipe (Nat. Comput., 2005)

A new classifier based on information theoretic learning with unlabeled data. - Kyu-Hwa Jeong; Jian-Wu Xu; Deniz Erdogmus; José Carlos Príncipe (Neural Networks, 2005)

A mutual information extension to the matched filter. - Deniz Erdogmus; Rati Agrawal; José Carlos Príncipe (Signal Process., 2005)

Information Theoretic Signal Processing. - Deniz Erdogmus; José Carlos Príncipe (Signal Process., 2005)

Quantifying spatio-temporal dependencies in epileptic ECOG. - Anant Hegde; Deniz Erdogmus; Deng-Shan Shiau; José Carlos Príncipe; J. Chris Sackellares (Signal Process., 2005)

Convolutive blind source separation by minimizing mutual information between segments of signals. - Kenneth E. Hild II; David Pinto 004; Deniz Erdogmus; José Carlos Príncipe (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. - Deniz Erdogmus; Oscar Fontenla-Romero; José C. Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo (IEEE Trans. Neural Networks, 2005)

Stochastic blind equalization based on PDF fitting using Parzen estimator. - Marcelino Lázaro; Ignacio Santamaría; Deniz Erdogmus; Kenneth E. Hild II; Carlos Pantaleón; José C. Príncipe (IEEE Trans. Signal Process., 2005)

Error whitening criterion for adaptive filtering: theory and algorithms. - Yadunandana N. Rao; Deniz Erdogmus; José C. Príncipe (IEEE Trans. Signal Process., 2005)

Neurophysiologically driven image triage: a pilot study. - Santosh Mathan; Stephen Whitlow; Deniz Erdogmus; Misha Pavel; Patricia Ververs; Michael C. Dorneich (CHI Extended Abstracts, 2006)

Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. - Yonghong Huang; Deniz Erdogmus; Santosh Mathan; Misha Pavel (EMBC, 2006)

A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking. - Tian Lan 007; Yonghong Huang; Deniz Erdogmus (ICA, 2006)

Recursive Generalized Eigendecomposition for Independent Component Analysis. - Umut Ozertem; Deniz Erdogmus; Tian Lan 007 (ICA, 2006)

Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). - Frédéric Vrins; Deniz Erdogmus; Christian Jutten; Michel Verleysen (ICA, 2006)

Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts. - Deniz Erdogmus; Miguel Á. Carreira-Perpiñán; Umut Ozertem (ICASSP (5), 2006)

Mean Shift Spectral Clustering for Perceptual Image Segmentation. - Umut Ozertem; Deniz Erdogmus; Tian Lan 007 (ICASSP (2), 2006)

A Closed Form Solution for a Nonlinear Wiener Filter. - Puskal P. Pokharel; Jian-Wu Xu; Deniz Erdogmus; José C. Príncipe (ICASSP (3), 2006)

Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. - Yonghong Huang; Deniz Erdogmus; Santosh Mathan; Misha Pavel (IJCNN, 2006)

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. - Robert Jenssen; Deniz Erdogmus; José C. Príncipe (IJCNN, 2006)

Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. - Tian Lan 007; Deniz Erdogmus; Umut Ozertem; Yonghong Huang (IJCNN, 2006)

Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces. - Tian Lan 007; Deniz Erdogmus; Misha Pavel; Santosh Mathan (IJCNN, 2006)

Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution. - Umut Ozertem; Deniz Erdogmus (IJCNN, 2006)

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. - Robert Jenssen; Torbjørn Eltoft; Mark A. Girolami; Deniz Erdogmus (NIPS, 2006)

The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels. - Robert Jenssen; José C. Príncipe; Deniz Erdogmus; Torbjørn Eltoft (J. Frankl. Inst., 2006)

Feature Extraction Using Information-Theoretic Learning. - Kenneth E. Hild II; Deniz Erdogmus; Kari Torkkola; José C. Príncipe (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Spectral feature projections that maximize Shannon mutual information with class labels. - Umut Ozertem; Deniz Erdogmus; Robert Jenssen (Pattern Recognit., 2006)

An analysis of entropy estimators for blind source separation. - Kenneth E. Hild II; Deniz Erdogmus; José C. Príncipe (Signal Process., 2006)

From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems. - Deniz Erdogmus; José C. Príncipe (IEEE Signal Process. Mag., 2006)

Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. - Jeongho Cho; José Carlos Príncipe; Deniz Erdogmus; Mark A. Motter (IEEE Trans. Neural Networks, 2006)

Experimental upper bound for the performance of convolutive source separation methods. - Kenneth E. Hild II; Deniz Erdogmus; José Carlos Príncipe (IEEE Trans. Signal Process., 2006)

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. - Deniz Erdogmus; Robert Jenssen; Yadunandana N. Rao; José C. Príncipe (J. VLSI Signal Process., 2006)

Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. - Anant Hegde; José Carlos Príncipe; Deniz Erdogmus; Umut Ozertem; Yadunandana N. Rao; Hemanth Peddaneni (J. VLSI Signal Process., 2006)

Some Equivalences between Kernel Methods and Information Theoretic Methods. - Robert Jenssen; Torbjørn Eltoft; Deniz Erdogmus; José C. Príncipe (J. VLSI Signal Process., 2006)

Self-Consistent Locally Defined Principal Surfaces. - Deniz Erdogmus; Umut Ozertem (ICASSP (2), 2007)

Information Regularized Maximum Likelihood for Binary Motion Sensors. - Umut Ozertem; Deniz Erdogmus (ICASSP (2), 2007)

Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices. - Puskal P. Pokharel; Umut Ozertem; Deniz Erdogmus; José C. Príncipe (ICASSP (2), 2007)

Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS. - Deniz Erdogmus; Umut Ozertem (ICONIP (2), 2007)

A Novel Switching Scheme Between Adaptive Information Algorithms. - Seungju Han 001; Sudhir Rao; Deniz Erdogmus; José C. Príncipe (IJCNN, 2007)

A Nonparametric Approach for Active Contours. - Umut Ozertem; Deniz Erdogmus (IJCNN, 2007)

Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. - Umut Ozertem; Andras Gruber; Deniz Erdogmus (IJCNN, 2007)

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography. - Anant Hegde; Deniz Erdogmus; Deng-Shan Shiau; José C. Príncipe; J. Chris Sackellares (Comput. Intell. Neurosci., 2007)

Channel Selection and Feature Projection for Cognitive Load Estimation Using Ambulatory EEG. - Tian Lan 007; Deniz Erdogmus; André Adami; Santosh Mathan; Misha Pavel (Comput. Intell. Neurosci., 2007)

Quasi-sliding mode control strategy based on multiple-linear models. - Jeongho Cho; José C. Príncipe; Deniz Erdogmus; Mark A. Motter (Neurocomputing, 2007)

Information cut for clustering using a gradient descent approach. - Robert Jenssen; Deniz Erdogmus; Kenneth E. Hild II; José C. Príncipe; Torbjørn Eltoft (Pattern Recognit., 2007)

Independent Component Analysis and Blind Source Separation. - Allan Kardec Barros; José Carlos Príncipe; Deniz Erdogmus (Signal Process., 2007)

A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS). - Seungju Han 001; Sudhir Rao; Deniz Erdogmus; Kyu-Hwa Jeong; José Carlos Príncipe (Signal Process., 2007)

Nonparametric Snakes. - Umut Ozertem; Deniz Erdogmus (IEEE Trans. Image Process., 2007)

The Laplacian Classifier. - Robert Jenssen; Deniz Erdogmus; José C. Príncipe; Torbjørn Eltoft (IEEE Trans. Signal Process., 2007)

Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis. - Tian Lan 007; Deniz Erdogmus (J. VLSI Signal Process., 2007)

Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing. - David J. Miller 001; Deniz Erdogmus (J. VLSI Signal Process., 2007)

Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors. - Umut Ozertem; Deniz Erdogmus (J. VLSI Signal Process., 2007)

Adaptive motion estimation schemes using maximum mutual information criterion. - Jing Zhao; Dapeng Wu 001; Deniz Erdogmus; Yuguang Fang; Zhihai He (Wirel. Commun. Mob. Comput., 2007)

Rapid image analysis using neural signals. - Santosh Mathan; Deniz Erdogmus; Yonghong Huang; Misha Pavel; Patricia Ververs; James Carciofini; Michael C. Dorneich; Stephen Whitlow (CHI Extended Abstracts, 2008)

A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals. - Juan Manuel Górriz; Javier Ramírez 001; Carlos García Puntonet; Sergio Antonio Cruces-Alvarez; Deniz Erdogmus; Elmar Wolfgang Lang (EUSIPCO, 2008)

Detecting mild cognitive loss with continuous monitoring of medication adherence. - Yonghong Huang; Deniz Erdogmus; Zhengdong Lu; Todd K. Leen (ICASSP, 2008)

Large-scale image database triage via EEG evoked responses. - Yonghong Huang; Deniz Erdogmus; Santosh Mathan; Misha Pavel (ICASSP, 2008)

Local conditions for critical and principal manifolds. - Umut Ozertem; Deniz Erdogmus (ICASSP, 2008)

Signal denoising using principal curves: Application to timewarping. - Umut Ozertem; Deniz Erdogmus (ICASSP, 2008)

Density geodesics for similarity clustering. - Umut Ozertem; Deniz Erdogmus; Miguel Á. Carreira-Perpiñán (ICASSP, 2008)

A reproducing kernel Hilbert space framework for pairwise time series distances. - Zhengdong Lu; Todd K. Leen; Yonghong Huang; Deniz Erdogmus (ICML, 2008)

Geometric structure of sum-of-rank-1 decompositions for n-dimensional order-p symmetric tensors. - Olexiy O. Kyrgyzov; Deniz Erdogmus (ISCAS, 2008)

Advances in blind signal processing. - Deniz Erdogmus; Danilo P. Mandic; Toshihisa Tanaka 001 (Neurocomputing, 2008)

Mean shift spectral clustering. - Umut Ozertem; Deniz Erdogmus; Robert Jenssen (Pattern Recognit., 2008)

Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK. - Puskal P. Pokharel; Umut Ozertem; Deniz Erdogmus; José C. Príncipe (Signal Process., 2008)

Signal processing challenges in cognitive assistive technology [Exploratory DSP]. - Michael R. Lightner; Deniz Erdogmus (IEEE Signal Process. Mag., 2008)

Continuously Differentiable Sample-Spacing Entropy Estimation. - Umut Ozertem; Ismail Uysal; Deniz Erdogmus (IEEE Trans. Neural Networks, 2008)

Information Theoretic Feature Selection and Projection. - Deniz Erdogmus; Umut Ozertem; Tian Lan 007 (Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, 2008)

Target detection using incremental learning on single-trial evoked response. - Yonghong Huang; Deniz Erdogmus; Misha Pavel; Kenneth E. Hild II; Santosh Mathan (ICASSP, 2009)

A new approach for the reassignment of time-frequency representations. - Ervin Sejdic; Umut Ozertem; Igor Djurovic; Deniz Erdogmus (ICASSP, 2009)

Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology. - Jayashree Kalpathy-Cramer; Umut Ozertem; William R. Hersh; Martin Fuss; Deniz Erdogmus (Image Processing, 2009)

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation. - Juan Manuel Górriz; Javier Ramírez 001; Sergio Antonio Cruces-Alvarez; Carlos García Puntonet; Elmar Wolfgang Lang; Deniz Erdogmus (IEEE Signal Process. Lett., 2009)

Second-Order Volterra System Identification With Noisy Input-Output Measurements. - Umut Ozertem; Deniz Erdogmus (IEEE Signal Process. Lett., 2009)

RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection. - Umut Ozertem; Deniz Erdogmus (IEEE Trans. Neural Networks, 2009)

Principal curve time warping. - Umut Ozertem; Deniz Erdogmus (IEEE Trans. Signal Process., 2009)

Information Theoretic Learning. - Deniz Erdogmus; José Carlos Príncipe (Encyclopedia of Artificial Intelligence, 2009)

Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems. - Deniz Erdogmus; Seungju Han 001; Abhishek Singh (Information Theoretic Learning, 2010)

Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria. - Deniz Erdogmus; Weifeng Liu (Information Theoretic Learning, 2010)

Nonlinear Adaptive Filtering with MEE, MCC, and Applications. - Deniz Erdogmus; Rodney Morejon; Weifeng Liu (Information Theoretic Learning, 2010)

Classification with EEC, Divergence Measures, and Error Bounds. - Deniz Erdogmus; Dongxin Xu; Kenneth E. Hild II (Information Theoretic Learning, 2010)

Self-Organizing ITL Principles for Unsupervised Learning. - Sudhir Rao; Deniz Erdogmus; Dongxin Xu; Kenneth E. Hild II (Information Theoretic Learning, 2010)

Renyi's Entropy, Divergence and Their Nonparametric Estimators. - Dongxin Xu; Deniz Erdogmus (Information Theoretic Learning, 2010)

Principal curve tracing. - Erhan Bas; Deniz Erdogmus (ESANN, 2010)

Identifying informative features for ERP speller systems based on RSVP paradigm. - Tian Lan 007; Deniz Erdogmus; Lois M. Black; Jan P. H. van Santen (ESANN, 2010)

A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning. - Sheng You; Esra Ataer Cansizoglu; Deniz Erdogmus; James Tanyi; Jayashree Kalpathy-Cramer (ICMLA, 2010)

Piecewise linear cylinder models for 3-dimensional axon segmentation in brainbow imagery. - Erhan Bas; Deniz Erdogmus (ISBI, 2010)

Numerical optimization of a sum-of-rank-1 decomposition for n-dimensional order-p symmetric tensors. - Olexiy O. Kyrgyzov; Deniz Erdogmus (Neurocomputing, 2010)

An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling. - Kenneth E. Hild II; Umut Orhan; Deniz Erdogmus; Brian Roark; Barry Oken; Shalini Purwar; Hooman Nezamfar; Melanie Fried-Oken (ACL (System Demonstrations), 2011)

Session MA7b: Multivariate and multimodal analysis of brain signals. - Justin Dauwels; Deniz Erdogmus (ACSCC, 2011)

Context information significantly improves brain computer interface performance - a case study on text entry using a language model assisted BCI. - Umut Orhan; Deniz Erdogmus; Kenneth E. Hild II; Brian Roark; Barry Oken; Melanie Fried-Oken (ACSCC, 2011)

Motion flow analysis in cell videos using a multi-level clustering method. - Esra Ataer Cansizoglu; Nastaran Ghadarghadar; Ramin Zareian; Erhan Bas; Jeffrey W. Ruberti; Deniz Erdogmus (EMBC, 2011)

Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. - Sila Kurugol; Erhan Bas; Deniz Erdogmus; Jennifer G. Dy; Gregory C. Sharp; Dana H. Brooks (EMBC, 2011)

Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers. - Umut Orhan; Deniz Erdogmus; Brian Roark; Shalini Purwar; Kenneth E. Hild II; Barry Oken; Hooman Nezamfar; Melanie Fried-Oken (EMBC, 2011)

Principal curve based semi-automatic segmentation of organs in 3D-CT. - Sheng You; Erhan Bas; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Deniz Erdogmus (EMBC, 2011)

Extraction of samples from airway and vessel trees in 3D lung CT based on a multi-scale principal curve tracing algorithm. - Sheng You; Erhan Bas; Deniz Erdogmus (EMBC, 2011)

Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases. - Sheng You; Erhan Bas; Deniz Erdogmus; Jayashree Kalpathy-Cramer (HISB, 2011)

Polytope kernel density estimates on Delaunay graphs. - Erhan Bas; Deniz Erdogmus (ICASSP, 2011)

Sampling on locally defined principal manifolds. - Erhan Bas; Deniz Erdogmus (ICASSP, 2011)

On visually evoked potentials in eeg induced by multiple pseudorandom binary sequences for brain computer interface design. - Hooman Nezamfar; Umut Orhan; Deniz Erdogmus; Kenneth E. Hild II; Shalini Purwar; Barry Oken; Melanie Fried-Oken (ICASSP, 2011)

A ridge scorewith application to piecewise linear neural reconstruction. - Erhan Bas; Deniz Erdogmus (ISBI, 2011)

Automated extraction of blood vessel networks from 3D microscopy image stacks via multi-scale principal curve tracing. - Erhan Bas; Nastaran Ghadarghadar; Deniz Erdogmus (ISBI, 2011)

A framework for rapid visual image search using single-trial brain evoked responses. - Yonghong Huang; Deniz Erdogmus; Misha Pavel; Santosh Mathan; Kenneth E. Hild II (Neurocomputing, 2011)

Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli. - Hooman Nezamfar; Umut Orhan; Shalini Purwar; Kenneth E. Hild II; Barry Oken; Deniz Erdogmus (Int. J. Imaging Syst. Technol., 2011)

Locally Defined Principal Curves and Surfaces. - Umut Ozertem; Deniz Erdogmus (J. Mach. Learn. Res., 2011)

Principal Curves as Skeletons of Tubular Objects - Locally Characterizing the Structures of Axons. - Erhan Bas; Deniz Erdogmus (Neuroinformatics, 2011)

Connectivity of projected high dimensional data charts on one-dimensional curves. - Erhan Bas; Deniz Erdogmus (Signal Process., 2011)

Statistical error detection for clinical laboratory tests. - Todd K. Leen; Deniz Erdogmus; Steven C. Kazmierczak (EMBC, 2012)

Improved accuracy using recursive Bayesian estimation based language model fusion in ERP-based BCI typing systems. - Umut Orhan; Deniz Erdogmus; Brian Roark; Barry Oken; Shalini Purwar; Kenneth E. Hild II; Andrew Fowler; Melanie Fried-Oken (EMBC, 2012)

A mode-based clustering algorithm without mode seeking. - Esra Ataer Cansizoglu; Deniz Erdogmus (ICASSP, 2012)

RSVP keyboard: An EEG based typing interface. - Umut Orhan; Kenneth E. Hild II; Deniz Erdogmus; Brian Roark; Barry Oken; Melanie Fried-Oken (ICASSP, 2012)

Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. - Jamshid Sourati; Dana H. Brooks; Jennifer G. Dy; Esra Ataer Cansizoglu; Deniz Erdogmus; Milind Rajadhyaksha (ICASSP, 2012)

Retinal vasculature segmentation using principal spanning forests. - Erhan Bas; Esra Ataer Cansizoglu; Deniz Erdogmus; Jayashree Kalpathy-Cramer (ISBI, 2012)

Observer and feature analysis on diagnosis of retinopathy of prematurity. - Esra Ataer Cansizoglu; Sheng You; Jayashree Kalpathy-Cramer; Katie Keck; Michael F. Chiang; Deniz Erdogmus (MLSP, 2012)

Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps. - Bekir Dizdaroglu; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Katie Keck; Michael F. Chiang; Deniz Erdogmus (MLSP, 2012)

A SIFT-point distribution-based method for head pose estimation. - Nastaran Ghadarghadar; Esra Ataer Cansizoglu; Peng Zhang 023; Deniz Erdogmus (MLSP, 2012)

Neural correlates of visual perception in rapid serial visual presentation paradigms. - Yonghong Huang; Kenneth E. Hild II; Misha Pavel; Santosh Mathan; Deniz Erdogmus (MLSP, 2012)

Online regularized discriminant analysis. - Umut Orhan; Ang Li; Deniz Erdogmus (MLSP, 2012)

Preface. - Ignacio Santamaría; Jerónimo Arenas-García; Gustavo Camps-Valls; Deniz Erdogmus; Fernando Pérez-Cruz (MLSP, 2012)

Constrained spectral clustering for image segmentation. - Jamshid Sourati; Dana H. Brooks; Jennifer G. Dy; Deniz Erdogmus (MLSP, 2012)

Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm. - Sheng You; Esra Ataer Cansizoglu; Deniz Erdogmus; Michael Massey; Nathan Shapiro (MLSP, 2012)

Local linear approximation of principal curve projections. - Peng Zhang 023; Esra Ataer Cansizoglu; Deniz Erdogmus (MLSP, 2012)

Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis. - Erhan Bas; Deniz Erdogmus; R. W. Draft; Jeff W. Lichtman (J. Vis. Commun. Image Represent., 2012)

Improved inference and autotyping in EEG-based BCI typing systems. - Andrew Fowler; Brian Roark; Umut Orhan; Deniz Erdogmus; Melanie Fried-Oken (ASSETS, 2013)

Robust Classification in RSVP Keyboard. - Matt Higger; Murat Akçakaya; Umut Orhan; Deniz Erdogmus (HCI (24), 2013)

A novel line detection method in space-time images for microvascular blood flow analysis in sublingual microcirculatory videos. - Sheng You; Michael Massey; Nathan Shapiro; Deniz Erdogmus (ISBI, 2013)

Visual hull reconstruction for automated primate behavior observation. - Nastaran Ghadar; Xikang Zhang; Kang Li; Deniz Erdogmus; Guillaume Thibault; Alireza Bayestehtashk; Izhak Shafran; Kris Coleman; Kathleen A. Grant (MLSP, 2013)

The Future of Human-in-the-Loop Cyber-Physical Systems. - Gunar Schirner; Deniz Erdogmus; Kaushik R. Chowdhury; Taskin Padir (Computer, 2013)

Contour-based shape representation using principal curves. - Esra Ataer Cansizoglu; Erhan Bas; Jayashree Kalpathy-Cramer; Gregory C. Sharp; Deniz Erdogmus (Pattern Recognit., 2013)

A Robust Fusion Algorithm for Sensor Failure. - Matt Higger; Murat Akçakaya; Deniz Erdogmus (IEEE Signal Process. Lett., 2013)

Utilization of temporal trial dependency in ERP based BCIs. - Umut Orhan; Delia Fernandez-Canellas; Murat Akçakaya; Dana H. Brooks; Deniz Erdogmus (ACSSC, 2014)

Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry. - Matthew S. Goodwin; Marzieh Haghighi; Qu Tang; Murat Akçakaya; Deniz Erdogmus; Stephen S. Intille (UbiComp, 2014)

Invertible nonlinear cluster unwrapping. - Matineh Shaker; Jonas Nordhaug Myhre; M. Devrim Kaba; Deniz Erdogmus (MLSP, 2014)

Structure-based level set method for automatic retinal vasculature segmentation. - Bekir Dizdaroglu; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Katie Keck; Michael F. Chiang; Deniz Erdogmus (EURASIP J. Image Video Process., 2014)

Manifold learning by preserving distance orders. - Esra Ataer Cansizoglu; Murat Akçakaya; Umut Orhan; Deniz Erdogmus (Pattern Recognit. Lett., 2014)

Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. - Jamshid Sourati; Deniz Erdogmus; Jennifer G. Dy; Dana H. Brooks (IEEE Trans. Image Process., 2014)

The Effect of Limiting Trial Count in Context Aware BCIs: A Case Study with Language Model Assisted Spelling. - Mohammad Moghadamfalahi; Paula Gonzalez-Navarro; Murat Akçakaya; Umut Orhan; Deniz Erdogmus (HCI (15), 2015)

A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity. - Verónica Bolón-Canedo; Esra Ataer Cansizoglu; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Michael F. Chiang (ISBI, 2015)

Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. - Esra Ataer Cansizoglu; Yuichi Taguchi; Jayashree Kalpathy-Cramer; Michael F. Chiang; Deniz Erdogmus (ISBI, 2015)

Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface. - Mohammad Moghadamfalahi; Jamshid Sourati; Murat Akçakaya; Hooman Nezamfar; Marzieh Haghighi; Deniz Erdogmus (MLSP, 2015)

Maximum a posteriori estimation of relative abundances of protein conformations. - A. Emre Onuk; Murat Akçakaya; Jaydeep P. Bardhan; Deniz Erdogmus; Dana H. Brooks; Lee Makowski (MLSP, 2015)

Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. - Matineh Shaker; Deniz Erdogmus; Jennifer G. Dy; Sylvain Bouix (MLSP, 2015)

Manifold unwrapping using critical surfaces. - Matineh Shaker; M. Devrim Kaba; Deniz Erdogmus (MLSP, 2015)

A novel delta check method for detecting laboratory errors. - Jamshid Sourati; Deniz Erdogmus; Murat Akçakaya; Steven C. Kazmierczak; Todd K. Leen (MLSP, 2015)

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. - Verónica Bolón-Canedo; Esra Ataer Cansizoglu; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Michael F. Chiang (Comput. Methods Programs Biomed., 2015)

Minor Surfaces are Boundaries of Mode-Based Clusters. - Esra Ataer Cansizoglu; Murat Akçakaya; Deniz Erdogmus (IEEE Signal Process. Lett., 2015)

A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs. - Matt Higger; Murat Akçakaya; Hooman Nezamfar; Gerald LaMountain; Umut Orhan; Deniz Erdogmus (IEEE Signal Process. Lett., 2015)

Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1. - Junwei Han 001; Tianming Liu 001; Christine Cong Guo; Deniz Erdogmus; John (Juyang) Weng (IEEE Trans. Auton. Ment. Dev., 2015)

Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements. - A. Emre Onuk; Murat Akçakaya; Jaydeep P. Bardhan; Deniz Erdogmus; Dana H. Brooks; Lee Makowski (IEEE Trans. Signal Process., 2015)

Computationally Efficient Exact Calculation of Kernel Density Derivatives. - Matineh Shaker; Jonas Nordhaug Myhre; Deniz Erdogmus (J. Signal Process. Syst., 2015)

Assessing subsets of analytes in context of detecting laboratory errors. - Jamshid Sourati; Steven C. Kazmierczak; Murat Akçakaya; Jennifer G. Dy; Todd K. Leen; Deniz Erdogmus (EMBC, 2016)

Toward a severity index for ROP: An unsupervised approach. - Peng Tian; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Susan Ostmo; Karyn Jonas; R. V. P. Chan; J. Peter Campbell; Michael F. Chiang; Deniz Erdogmus (EMBC, 2016)

A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI. - Paula Gonzalez-Navarro; Mohammad Moghadamfalahi; Murat Akçakaya; Deniz Erdogmus (HCI (13), 2016)

A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network. - Biel Roig-Solvas; Jaydeep P. Bardhan; Deniz Erdogmus; Dana H. Brooks; Lee Makowski (ISBI, 2016)

Toward a brain interface for tracking attended auditory sources. - Marzieh Haghighi; Mohammad Moghadamfalahi; Hooman Nezamfar; Murat Akçakaya; Deniz Erdogmus (MLSP, 2016)

Fast Switch Scanning Keyboards: Minimal Expected Query Decision Trees. - Matt Higger; Mohammad Moghadamfalahi; Fernando Quivira; Deniz Erdogmus (CoRR, 2016)

Classification Active Learning Based on Mutual Information. - Jamshid Sourati; Murat Akçakaya; Jennifer G. Dy; Todd K. Leen; Deniz Erdogmus (Entropy, 2016)

FlashType™: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals. - Hooman Nezamfar; Seyed Sadegh Mohseni Salehi; Mohammad Moghadamfalahi; Deniz Erdogmus (IEEE J. Sel. Top. Signal Process., 2016)

Target tracking via recursive Bayesian state estimation in radar networks. - Yijian Xiang; Murat Akçakaya; Satyabrata Sen; Deniz Erdogmus; Arye Nehorai (ACSSC, 2017)

EEG-guided robotic mirror therapy system for lower limb rehabilitation. - Yeganeh M. Marghi; Amir B. Farjadian; Sheng-Che Yen; Deniz Erdogmus (EMBC, 2017)

Context-aware recursive bayesian graph traversal in BCIs. - Seyed Sadegh Mohseni Salehi; Mohammad Moghadamfalahi; Hooman Nezamfar; Marzieh Haghighi; Deniz Erdogmus (EMBC, 2017)

Decoding complex imagery hand gestures. - Seyed Sadegh Mohseni Salehi; Mohammad Moghadamfalahi; Fernando Quivira; Alexander Piers; Hooman Nezamfar; Deniz Erdogmus (EMBC, 2017)

Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (MLMI@MICCAI, 2017)

Information theoretic feature projection for single-trial brain-computer interfaces. - Ozan Özdenizci; Fernando Quivira; Deniz Erdogmus (MLSP, 2017)

Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics. - Sezen Yagmur Günay; Fernando Quivira; Deniz Erdogmus (PETRA, 2017)

Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (CoRR, 2017)

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. - Jamshid Sourati; Murat Akçakaya; Todd K. Leen; Deniz Erdogmus; Jennifer G. Dy (J. Mach. Learn. Res., 2017)

Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. - Matineh Shaker; Deniz Erdogmus; Jennifer G. Dy; Sylvain Bouix (Medical Image Anal., 2017)

Spatio-temporal EEG models for brain interfaces. - Paula Gonzalez-Navarro; Mohammad Moghadamfalahi; Murat Akçakaya; Deniz Erdogmus (Signal Process., 2017)

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (IEEE Trans. Medical Imaging, 2017)

An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling. - Mohammad Moghadamfalahi; Murat Akçakaya; Hooman Nezamfar; Jamshid Sourati; Deniz Erdogmus (IEEE Trans. Signal Process., 2017)

Translating sEMG signals to continuous hand poses using recurrent neural networks. - Fernando Quivira; Toshiaki Koike-Akino; Ye Wang 001; Deniz Erdogmus (BHI, 2018)

A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences. - Yeganeh M. Marghi; Paula Gonzalez-Navarro; Bahar Azari; Deniz Erdogmus (EMBC, 2018)

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. - Ozan Özdenizci; Catalina Cumpanasoiu; Carla Mazefsky; Matthew Siegel; Deniz Erdogmus; Stratis Ioannidis; Matthew S. Goodwin (EMBC, 2018)

Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. - Ozan Özdenizci; Sezen Yagmur Günay; Fernando Quivira; Deniz Erdogmus (EMBC, 2018)

Experimental Design under the Bradley-Terry Model. - Yuan Guo; Peng Tian; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy; Stratis Ioannidis (IJCAI, 2018)

Incorporating temporal dependency on ERP based BCI. - Aziz Kocanaogullan; Fernando Quivira; Deniz Erdogmus (ISBI, 2018)

Improved classification in tactile BCIs using a noisy label model. - James McLean; Fernando Quivira; Deniz Erdogmus (ISBI, 2018)

Real-time automatic fetal brain extraction in fetal MRI by deep learning. - Seyed Sadegh Mohseni Salehi; Seyed Raein Hashemi; Clemente Velasco-Annis; Abdelhakim Ouaalam; Judy A. Estroff; Deniz Erdogmus; Simon K. Warfield; Ali Gholipour (ISBI, 2018)

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. - Matthew S. Goodwin; Ozan Özdenizci; Catalina Cumpanasoiu; Peng Tian; Yuan Guo; Amy Stedman; Christine Peura; Carla Mazefsky; Matthew Siegel; Deniz Erdogmus; Stratis Ioannidis (PervasiveHealth, 2018)

An Adaptive Proportional BCI-Controller for Linear Dynamic Systems. - Golnaz Eftekhari Yazdi; Hooman Nezamfar; Mohammad Moghadamfalahi; Murat Akçakaya; Bahram Shafai; Deniz Erdogmus (WAC, 2018)

EEG-assisted modulation of sound sources in the auditory scene. - Marzieh Haghighi; Mohammad Moghadamfalahi; Murat Akçakaya; Deniz Erdogmus (Biomed. Signal Process. Control., 2018)

Real-time Deep Registration With Geodesic Loss. - Seyed Sadegh Mohseni Salehi; Shadab Khan; Deniz Erdogmus; Ali Gholipour (CoRR, 2018)

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (CoRR, 2018)

Invariant Representations from Adversarially Censored Autoencoders. - Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (CoRR, 2018)

Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Kaidi Xu; Sijia Liu 001; Pu Zhao 001; Pin-Yu Chen; Huan Zhang 001; Deniz Erdogmus; Yanzhi Wang; Xue Lin 001 (CoRR, 2018)

Deep feature transfer between localization and segmentation tasks. - Szu-Yeu Hu; Andrew Beers; Ken Chang; Kathi Höbel; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Jennifer G. Dy; Michael F. Chiang; Jayashree Kalpathy-Cramer; James M. Brown 001 (CoRR, 2018)

M-Estimation-Based Subspace Learning for Brain Computer Interfaces. - Berkan Kadioglu; Ilkay Yildiz; Pau Closas; Deniz Erdogmus (IEEE J. Sel. Top. Signal Process., 2018)

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. - Jamshid Sourati; Murat Akçakaya; Deniz Erdogmus; Todd K. Leen; Jennifer G. Dy (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

On Analysis of Active Querying for Recursive State Estimation. - Aziz Kocanaogullari; Deniz Erdogmus; Murat Akçakaya (IEEE Signal Process. Lett., 2018)

Optimal Query Selection Using Multi-Armed Bandits. - Aziz Kocanaogullari; Yeganeh M. Marghi; Murat Akçakaya; Deniz Erdogmus (IEEE Signal Process. Lett., 2018)

Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS. - A. Emre Onuk; Murat Akçakaya; Jaydeep P. Bardhan; Deniz Erdogmus; Dana H. Brooks; Lee Makowski (J. Signal Process. Syst., 2018)

Variational Inference from Ranked Samples with Features. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACML, 2019)

Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. - Tales Imbiriba; Gerald LaMountain; Peng Wu 019; Deniz Erdogmus; Pau Closas (CAMSAP, 2019)

Force-Sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors. - Ann Marie Votta; Sezen Yagmur Günay; Deniz Erdogmus; Çagdas D. Önal (CBS, 2019)

Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. - Mehrshad Zandigohar; Mo Han; Deniz Erdogmus; Gunar Schirner (CyPhy/WESE, 2019)

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. - Ozan Özdenizci; Barry Oken; Tab Memmott; Melanie Fried-Oken; Deniz Erdogmus (GBCIC, 2019)

A History-based Stopping Criterion in Recursive Bayesian State Estimation. - Yeganeh M. Marghi; Aziz Koçanaogullari; Murat Akçakaya; Deniz Erdogmus (ICASSP, 2019)

Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Kaidi Xu; Sijia Liu 001; Pu Zhao 001; Pin-Yu Chen; Huan Zhang 001; Quanfu Fan; Deniz Erdogmus; Yanzhi Wang; Xue Lin 001 (ICLR (Poster), 2019)

Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection. - Mohammadreza Sharif; Deniz Erdogmus; Taskin Padir (IRC, 2019)

A Severity Score for Retinopathy of Prematurity. - Peng Tian; Yuan Guo; Jayashree Kalpathy-Cramer; Susan Ostmo; John Peter Campbell; Michael F. Chiang; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (KDD, 2019)

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. - Mara Graziani; James M. Brown 001; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller (Computer-Aided Diagnosis, 2019)

Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. - Andac Demir; Safaa Eldeeb; Murat Akçakaya; Deniz Erdogmus (MLSP, 2019)

EEG-Based Texture Classification During Active Touch. - Safaa Eldeeb; Jordyn Ting; Deniz Erdogmus; Douglas J. Weber; Murat Akçakaya (MLSP, 2019)

Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit. - Andac Demir; Mathew Yarossi; Damon Hyde; Mouhsin Shafi; Dana H. Brooks; Deniz Erdogmus (NER, 2019)

Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. - Sezen Yagmur Günay; Mathew Yarossi; Dana H. Brooks; Eugene Tunik; Deniz Erdogmus (NER, 2019)

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. - Ozan Özdenizci; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (NER, 2019)

An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. - Mathew Yarossi; Fernando Quivira; Moritz Dannhauer; Marc A. Sommer; Dana H. Brooks; Deniz Erdogmus; Eugene Tunik (NER, 2019)

From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels. - Mo Han; Sezen Yagmur Günay; Ilkay Yildiz; Paolo Bonato; Cagdas D. Onal; Taskin Padir; Gunar Schirner; Deniz Erdogmus (PETRA, 2019)

Accelerated Experimental Design for Pairwise Comparisons. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (SDM, 2019)

Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (IEEE Access, 2019)

User-Adaptive Text Entry for Augmentative and Alternative Communication. - Matt Higger; Fernando Quivira; Deniz Erdogmus (CoRR, 2019)

Classification and comparison via neural networks. - Ilkay Yildiz; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; James M. Brown 001; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (Neural Networks, 2019)

Target tracking via recursive Bayesian state estimation in cognitive radar networks. - Yijian Xiang; Murat Akçakaya; Satyabrata Sen; Deniz Erdogmus; Arye Nehorai (Signal Process., 2019)

Adversarial Deep Learning in EEG Biometrics. - Ozan Özdenizci; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (IEEE Signal Process. Lett., 2019)

Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. - Seyed Sadegh Mohseni Salehi; Shadab Khan; Deniz Erdogmus; Ali Gholipour (IEEE Trans. Medical Imaging, 2019)

Fast and Accurate Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2020)

Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning. - Mohammadreza Sharif; Deniz Erdogmus; Christopher Amato; Taskin Padir (BioRob, 2020)

A generic unfolding algorithm for manifolds estimated by local linear approximations. - Jonas Nordhaug Myhre; Matineh Shaker; Mustafa Devrim Kaba; Robert Jenssen; Deniz Erdogmus (CVPR Workshops, 2020)

Disentangled Adversarial Transfer Learning for Physiological Biosignals. - Mo Han; Ozan Özdenizci; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (EMBC, 2020)

A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation. - Spencer Lake Jacobs-Skolik; Don Liang; Dana H. Brooks; Deniz Erdogmus; Mathew Yarossi; Eugene Tunik (EMBC, 2020)

Kinematic Optimization of an Underactuated Anthropomorphic Prosthetic Hand. - Ann Marie Votta; Sezen Yagmur Günay; Brian Zylich; Erik H. Skorina; Raagini Rameshwar; Deniz Erdogmus; Cagdas D. Onal (IROS, 2020)

Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. - Md Navid Akbar; Marianna La Rocca; Rachael Garner; Dominique Duncan; Deniz Erdogmus (PETRA, 2020)

Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach. - Md Navid Akbar; Mathew Yarossi; Marc Martinez-Gost; Marc A. Sommer; Moritz Dannhauer; Sumientra Rampersad; Dana H. Brooks; Eugene Tunik; Deniz Erdogmus (PETRA, 2020)

Motor cortex mapping using active gaussian processes. - Razieh Faghihpirayesh; Tales Imbiriba; Mathew Yarossi; Eugene Tunik; Dana H. Brooks; Deniz Erdogmus (PETRA, 2020)

Biosensor prediction of aggression in youth with autism using kernel-based methods. - Tales Imbiriba; Diana Catalina Cumpanasoiu; James Heathers; Stratis Ioannidis; Deniz Erdogmus; Matthew S. Goodwin (PETRA, 2020)

Optimal modality selection using information transfer rate for event related potential driven brain computer interfaces. - Aziz Koçanaogullari; Murat Akçakaya; Barry Oken; Deniz Erdogmus (PETRA, 2020)

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. - Tales Imbiriba; Peng Wu 019; Gerald LaMountain; Deniz Erdogmus; Pau Closas (PLANS, 2020)

Learning Invariant Representations From EEG via Adversarial Inference. - Ozan Özdenizci; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (IEEE Access, 2020)

Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence. - Yeganeh M. Marghi; Aziz Kocanaogullari; Murat Akçakaya; Deniz Erdogmus (CoRR, 2020)

AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. - Andac Demir; Toshiaki Koike-Akino; Ye Wang 001; Deniz Erdogmus (CoRR, 2020)

HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. - Mo Han; Sezen Yagmur Günay; Gunar Schirner; Taskin Padir; Deniz Erdogmus (Intell. Serv. Robotics, 2020)

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. - Matthew D. Li; Ken Chang; Ben Bearce; Connie Y. Chang; Ambrose J. Huang; J. Peter Campbell; James M. Brown 001; Praveer Singh; Katharina Viktoria Hoebel; Deniz Erdogmus; Stratis Ioannidis; William E. Palmer; et al. (npj Digit. Medicine, 2020)

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. - Mo Han; Ozan Özdenizci; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (IEEE Signal Process. Lett., 2020)

Information Theoretic Feature Transformation Learning for Brain Interfaces. - Ozan Özdenizci; Deniz Erdogmus (IEEE Trans. Biomed. Eng., 2020)

Deep Spectral Ranking. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2021)

NetCut: Real-Time DNN Inference Using Layer Removal. - Mehrshad Zandigohar; Deniz Erdogmus; Gunar Schirner (DATE, 2021)

EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. - Andac Demir; Toshiaki Koike-Akino; Ye Wang 001; Masaki Haruna; Deniz Erdogmus (EMBC, 2021)

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. - Ahmet Demirkaya; Tales Imbiriba; Kyle Lockwood; Sumientra Rampersad; Elie Alhajjar; Giovanna Guidoboni; Zachary Danziger; Deniz Erdogmus (EMBC, 2021)

Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. - Razieh Faghihpirayesh; Sebastian F. Ruf; Marianna La Rocca; Rachael Garner; Paul M. Vespa; Deniz Erdogmus; Dominique Duncan (EMBC, 2021)

Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation. - Mo Han; Mehrshad Zandigohar; Mariusz P. Furmanek; Mathew Yarossi; Gunar Schirner; Deniz Erdogmus (EMBC, 2021)

Comparing Autoregressive and Network Features for Classification of Depression and Anxiety. - Sebastian F. Ruf; Md Navid Akbar; Susan L. Whitfield-Gabrieli; Deniz Erdogmus (EMBC, 2021)

Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. - Ashutosh Singh; Christiana Westlin; Hedwig Eisenbarth; Elizabeth A. Reynolds Losin; Jessica R. Andrews-Hanna; Tor D. Wager; Ajay B. Satpute; Lisa Feldman Barrett; Dana H. Brooks; Deniz Erdogmus (EMBC, 2021)

End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning*. - Mohammadreza Sharif; Deniz Erdogmus; Christopher Amato; Taskin Padir (ICRA, 2021)

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. - Veysi Yildiz; Stratis Ioannidis; Ilkay Yildiz; Peng Tian; John Peter Campbell; Susan Ostmo; Jayashree Kalpathy-Cramer; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy (ISBI, 2021)

Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. - Md Navid Akbar; Sebastian F. Ruf; Marianna La Rocca; Rachael Garner; Giuseppe Barisano; Ruskin Cua; Paul M. Vespa; Deniz Erdogmus; Dominique Duncan (CDMRI@MICCAI, 2021)

On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. - Ozan Özdenizci; Deniz Erdogmus (NER, 2021)

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. - Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (PETRA, 2021)

Structurally Guided Channel Attention Networks: SGCA-Net. - Veysi Yildiz; Jennifer G. Dy; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Stratis Ioannidis; Deniz Erdogmus (PETRA, 2021)

AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. - Andac Demir; Toshiaki Koike-Akino; Ye Wang 001; Deniz Erdogmus (IEEE Access, 2021)

EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. - Ozan Özdenizci; Safaa Eldeeb; Andac Demir; Deniz Erdogmus; Murat Akçakaya (Biomed. Signal Process. Control., 2021)

HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands. - Mo Han; Sezen Yagmur Günay; Gunar Schirner; Taskin Padir; Deniz Erdogmus (CoRR, 2021)

Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion. - Mo Han; Mehrshad Zandigohar; Mariusz P. Furmanek; Mathew Yarossi; Gunar Schirner; Deniz Erdogmus (CoRR, 2021)

End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning. - Mohammadreza Sharif; Deniz Erdogmus; Christopher Amato; Taskin Padir (CoRR, 2021)

On the Sample Complexity of Rank Regression from Pairwise Comparisons. - Berkan Kadioglu; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (CoRR, 2021)

Circular-Symmetric Correlation Layer based on FFT. - Bahar Azari; Deniz Erdogmus (CoRR, 2021)

Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules. - Paul Ghanem; Yunus Bicer; Deniz Erdogmus; Alireza Ramezani (CoRR, 2021)

Stochastic mutual information gradient estimation for dimensionality reduction networks. - Ozan Özdenizci; Deniz Erdogmus (Inf. Sci., 2021)

Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. - Aziz Koçanaogullari; Niklas Smedemark-Margulies; Murat Akçakaya; Deniz Erdogmus (IEEE Signal Process. Lett., 2021)

Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. - Mo Han; Ozan Özdenizci; Toshiaki Koike-Akino; Ye Wang 001; Deniz Erdogmus (IEEE J. Biomed. Health Informatics, 2021)

Equivariant Deep Dynamical Model for Motion Prediction. - Bahar Azari; Deniz Erdogmus (AISTATS, 2022)

NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols. - Nasim Soltani; Yanyu Li; Deniz Erdogmus; Yanzhi Wang; Kaushik R. Chowdhury (CCNC, 2022)

PENet: Continuous-Valued Pulmonary Edema Severity Prediction On Chest X-ray Using Siamese Convolutional Networks. - Md Navid Akbar; Xin Wang; Deniz Erdogmus; Sandeep Dalal (EMBC, 2022)

EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. - Andac Demir; Toshiaki Koike-Akino; Ye Wang 001; Deniz Erdogmus (EMBC, 2022)

AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. - Niklas Smedemark-Margulies; Ye Wang 001; Toshiaki Koike-Akino; Deniz Erdogmus (EMBC, 2022)

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. - Tales Imbiriba; Ahmet Demirkaya; Jindrich Duník; Ondrej Straka; Deniz Erdogmus; Pau Closas (FUSION, 2022)

VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments. - Nathaniel Hanson; Michael Shaham; Deniz Erdogmus; Taskin Padir (IROS, 2022)

Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. - Razieh Faghihpirayesh; Davood Karimi; Deniz Erdogmus; Ali Gholipour (PIPPI@MICCAI, 2022)

Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. - Kyle Lockwood; Yunus Bicer; Sadjad Asghari-Esfeden; Tianjie Zhu; Mariusz P. Furmanek; Madhur Mangalam; Garrit Strenge; Tales Imbiriba; Mathew Yarossi; Taskin Padir; Deniz Erdogmus; Eugene Tunik (PETRA, 2022)

Automated deep learning-based wide-band receiver. - Bahar Azari; Hai Cheng; Nasim Soltani; Haoqing Li 001; Yanyu Li; Mauro Belgiovine; Tales Imbiriba; Salvatore D'Oro; Tommaso Melodia; Yanzhi Wang; Pau Closas; Kaushik R. Chowdhury; et al. (Comput. Networks, 2022)

Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy. - Nathaniel Hanson; Tarik Kelestemur; Deniz Erdogmus; Taskin Padir (CoRR, 2022)

Inv-SENnet: Invariant Self Expression Network for clustering under biased data. - Ashutosh Singh; Ashish Singh; Aria Masoomi; Tales Imbiriba; Erik G. Learned-Miller; Deniz Erdogmus (CoRR, 2022)

Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. - Nasim Soltani; Hai Cheng; Mauro Belgiovine; Yanyu Li; Haoqing Li 001; Bahar Azari; Salvatore D'Oro; Tales Imbiriba; Tommaso Melodia; Pau Closas; Yanzhi Wang; Deniz Erdogmus; et al. (IEEE Internet Things Mag., 2022)

Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. - Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Pau Closas; José C. M. Bermudez; Deniz Erdogmus (IEEE Geosci. Remote. Sens. Lett., 2022)

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. - Aziz Koçanaogullari; Murat Akçakaya; Deniz Erdogmus (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Sample complexity of rank regression using pairwise comparisons. - Berkan Kadioglu; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (Pattern Recognit., 2022)

Active recursive Bayesian inference using Rényi information measures. - Yeganeh M. Marghi; Aziz Koçanaogullari; Murat Akçakaya; Deniz Erdogmus (Pattern Recognit. Lett., 2022)

Spectral Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACM Trans. Knowl. Discov. Data, 2022)

Sentinel-2 Images from Oroville Dam and Charles River. - Helena Calatrava; Bhavya Duvvuri; Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Edward Beighley; Deniz Erdogmus; Pau Closas (Zenodo, 2022)

Fast Estimation of Morphing Wing Flight Dynamics Using Neural Networks and Cubature Rules. - Paul Ghanem; Yunus Bicer; Deniz Erdogmus; Alireza Ramezani (CDC, 2023)

A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; Deniz Erdogmus (ICASSP, 2023)

Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. - Ashutosh Singh; Ashish Singh; Aria Masoomi; Tales Imbiriba; Erik G. Learned-Miller; Deniz Erdogmus (ICASSP, 2023)

Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. - Niklas Smedemark-Margulies; Basak Celik; Tales Imbiriba; Aziz Kocanaogullari; Deniz Erdogmus (ICASSP, 2023)

Automatic brain pose estimation in fetal MRI. - Razieh Faghihpirayesh; Davood Karimi; Deniz Erdogmus; Ali Gholipour (Image Processing, 2023)

Real-Time Object Localization for Human-Robot Handover. - Sadjad Asghari-Esfeden; Garrit Strenge; Kyle Lockwood; Yunus Bicer; Tales Imbiriba; Mariusz P. Furmanek; Mathew Yarossi; Eugene Tunik; Taskin Padir; Deniz Erdogmus (PETRA, 2023)

Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. - Kyle Lockwood; Garrit Strenge; Yunus Bicer; Tales Imbiriba; Mariusz P. Furmanek; Taskin Padir; Deniz Erdogmus; Eugene Tunik; Mathew Yarossi (RO-MAN, 2023)

A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. - Nathaniel Hanson; Ahmet Demirkaya; Deniz Erdogmus; Aron Stubbins; Taskin Padir; Tales Imbiriba (WHISPERS, 2023)

Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection. - Richard Gall; Deniz Kocanaogullari; Murat Akçakaya; Deniz Erdogmus; Rajkumar Kubendran (CoRR, 2023)

User Training with Error Augmentation for Electromyogram-based Gesture Classification. - Yunus Bicer; Niklas Smedemark-Margulies; Basak Celik; Elifnur Sunger; Ryan Orendorff; Stephanie Naufel; Tales Imbiriba; Deniz Erdogmus; Eugene Tunik; Mathew Yarossi (CoRR, 2023)

A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. - Niklas Smedemark-Margulies; Yunus Bicer; Elifnur Sunger; Stephanie Naufel; Tales Imbiriba; Eugene Tunik; Deniz Erdogmus; Mathew Yarossi (CoRR, 2023)

Fetal-BET: Brain Extraction Tool for Fetal MRI. - Razieh Faghihpirayesh; Davood Karimi; Deniz Erdogmus; Ali Gholipour (CoRR, 2023)

Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. - Niklas Smedemark-Margulies; Ye Wang 001; Toshiaki Koike-Akino; Jing Liu 009; Kieran Parsons; Yunus Bicer; Deniz Erdogmus (CoRR, 2023)

Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. - Ricardo Augusto Borsoi; Deniz Erdogmus; Tales Imbiriba (IEEE Trans. Computational Imaging, 2023)

Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics. - Haoqing Li 001; Bhavya Duvvuri; Ricardo Augusto Borsoi; Tales Imbiriba; Edward Beighley; Deniz Erdogmus; Pau Closas (Zenodo, 2023)

Circular-symmetric correlation layer. - Bahar Azari; Deniz Erdogmus (Mach. Learn., 2023)

Byzantine-Resilient Collaborative Hierarchical Non-Bayesian Learning. - Connor Mclaughlin; Matthew Ding 001; Deniz Erdogmus; Lili Su (IEEECONF, 2024)

Anticipatory Gaze Dynamics in Human-to-Human Object Handover. - Mateusz Wolak; Garrit Strenge; Yunus Bicer; Kyle Lockwood; Mariusz P. Furmanek; Taskin Padir; Mathew Yarossi; Deniz Erdogmus; Eugene Tunik (EMBC, 2024)

Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. - Ashutosh Singh; Ricardo Augusto Borsoi; Deniz Erdogmus; Tales Imbiriba (ICLR, 2024)

Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning. - Jian Wang 075; Razieh Faghihpirayesh; Deniz Erdogmus; Ali Gholipour (MIDL, 2024)

Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. - Md Navid Akbar; Sebastian F. Ruf; Ashutosh Singh; Razieh Faghihpirayesh; Rachael Garner; Alexis Bennett; Celina Alba; Marianna La Rocca; Tales Imbiriba; Deniz Erdogmus; Dominique Duncan (Comput. Medical Imaging Graph., 2024)

KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators. - Ashutosh Singh; Ashish Singh; Tales Imbiriba; Deniz Erdogmus; Ricardo Augusto Borsoi (CoRR, 2024)

Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control. - Mehrshad Zandigohar; Mo Han; Mohammadreza Sharif; Sezen Yagmur Günay; Mariusz P. Furmanek; Mathew Yarossi; Paolo Bonato; Cagdas D. Onal; Taskin Padir; Deniz Erdogmus; Gunar Schirner (Frontiers Robotics AI, 2024)

Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. - Niklas Smedemark-Margulies; Yunus Bicer; Elifnur Sunger; Tales Imbiriba; Eugene Tunik; Deniz Erdogmus; Mathew Yarossi; Robin Walters 001 (Trans. Mach. Learn. Res., 2024)

RBC-SatImg: Sentinel-2 Imagery and WatData Labels for Water Mapping. - Helena Calatrava; Bhavya Duvvuri; Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Edward Beighley; Deniz Erdogmus; Pau Closas (Zenodo, 2024)

Learning Physics Informed Neural ODEs with Partial Measurements. - Paul Ghanem; Ahmet Demirkaya; Tales Imbiriba; Alireza Ramezani; Zachary Danziger; Deniz Erdogmus (AAAI, 2025)

MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. - Elifnur Sunger; Yunus Bicer; Deniz Erdogmus; Tales Imbiriba (AAAI, 2025)

Advancing Multi-Person Tracking for Autism Behavior Analysis: Challenges, Opportunities, and Future Directions in Clinical Settings. - Somaieh Amraee; Eva Blanco-Mallo; Deniz Erdogmus; Aston McCullough; Matthew S. Goodwin; Sarah Ostadabbas (WACV (Workshops), 2025)

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. - Michael Potter; Murat Akçakaya; Marius Necsoiu; Gunar Schirner; Deniz Erdogmus; Tales Imbiriba (IEEE Trans. Aerosp. Electron. Syst., 2025)

Dependency-aware Maximum Likelihood Estimation for Active Learning. - Beyza Kalkanli; Tales Imbiriba; Stratis Ioannidis; Deniz Erdogmus; Jennifer G. Dy (CoRR, 2025)

Active Learning For Repairable Hardware Systems With Partial Coverage. - Michael Potter; Beyza Kalkanli; Deniz Erdogmus; Michael Everett (CoRR, 2025)

Recursive Deep Inverse Reinforcement Learning. - Paul Ghanem; Michael Potter; Owen Howell; Pau Closas; Alireza Ramezani; Deniz Erdogmus; Tales Imbiriba (CoRR, 2025)

A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems. - Ahmet Demirkaya; Kyle Lockwood; Georgios Stratis; Tales Imbiriba; Iulian Ilies; Sumientra Rampersad; Elie Alhajjar; Giovanna Guidoboni; Zachary C. Danziger; Deniz Erdogmus (IEEE Trans. Biomed. Eng., 2025)

Continuously Optimizing Radar Placement With Model-Predictive Path Integrals. - Michael Potter; Shuo Tang; Paul Ghanem; Milica Stojanovic; Pau Closas; Murat Akçakaya; Ben Wright; Marius Necsoiu; Deniz Erdogmus; Michael Everett; Tales Imbiriba (IEEE Trans. Aerosp. Electron. Syst., 2025)

Exploring Theory-Laden Observations in the Brain Basis of Emotional Experience. - Christiana Westlin; Ashutosh Singh; Deniz Erdogmus; Georgios Stratis; Lisa Feldman Barrett (CoRR, 2025)