Deniz Erdogmus

According to our database1, Deniz Erdogmus authored at least 303 papers between 2001 and 2021.

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Bibliography

2021
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks.
CoRR, 2021

On the use of generative deep neural networks to synthesize artificial multichannel EEG signals.
CoRR, 2021

NetCut: Real-Time DNN Inference Using Layer Removal.
CoRR, 2021

2020
Information Theoretic Feature Transformation Learning for Brain Interfaces.
IEEE Trans. Biomed. Eng., 2020

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.
IEEE Signal Process. Lett., 2020

HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands.
Intell. Serv. Robotics, 2020

Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders.
CoRR, 2020

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry.
CoRR, 2020

AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis.
CoRR, 2020

Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence.
CoRR, 2020

Learning Invariant Representations From EEG via Adversarial Inference.
IEEE Access, 2020

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

Optimal modality selection using information transfer rate for event related potential driven brain computer interfaces.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Biosensor prediction of aggression in youth with autism using kernel-based methods.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Motor cortex mapping using active gaussian processes.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Kinematic Optimization of an Underactuated Anthropomorphic Prosthetic Hand.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Disentangled Adversarial Transfer Learning for Physiological Biosignals.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A generic unfolding algorithm for manifolds estimated by local linear approximations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

Fast and Accurate Ranking Regression.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.
IEEE Trans. Medical Imaging, 2019

Adversarial Deep Learning in EEG Biometrics.
IEEE Signal Process. Lett., 2019

Target tracking via recursive Bayesian state estimation in cognitive radar networks.
Signal Process., 2019

Classification and comparison via neural networks.
Neural Networks, 2019

User-Adaptive Text Entry for Augmentative and Alternative Communication.
CoRR, 2019

Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
IEEE Access, 2019

Accelerated Experimental Design for Pairwise Comparisons.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

EEG-Based Texture Classification During Active Touch.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

A Severity Score for Retinopathy of Prematurity.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
Proceedings of the 7th International Conference on Learning Representations, 2019

A History-based Stopping Criterion in Recursive Bayesian State Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand.
Proceedings of the Cyber Physical Systems. Model-Based Design - 9th International Workshop, 2019

Force-Sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors.
Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Variational Inference from Ranked Samples with Features.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS.
J. Signal Process. Syst., 2018

Optimal Query Selection Using Multi-Armed Bandits.
IEEE Signal Process. Lett., 2018

On Analysis of Active Querying for Recursive State Estimation.
IEEE Signal Process. Lett., 2018

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

M-Estimation-Based Subspace Learning for Brain Computer Interfaces.
IEEE J. Sel. Top. Signal Process., 2018

Deep feature transfer between localization and segmentation tasks.
CoRR, 2018

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
CoRR, 2018

Invariant Representations from Adversarially Censored Autoencoders.
CoRR, 2018

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.
CoRR, 2018

Real-time Deep Registration With Geodesic Loss.
CoRR, 2018

EEG-assisted modulation of sound sources in the auditory scene.
Biomed. Signal Process. Control., 2018

An Adaptive Proportional BCI-Controller for Linear Dynamic Systems.
Proceedings of the 2018 World Automation Congress, 2018

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

Real-time automatic fetal brain extraction in fetal MRI by deep learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Improved classification in tactile BCIs using a noisy label model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Incorporating temporal dependency on ERP based BCI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Experimental Design under the Bradley-Terry Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Translating sEMG signals to continuous hand poses using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling.
IEEE Trans. Signal Process., 2017

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2017

Spatio-temporal EEG models for brain interfaces.
Signal Process., 2017

Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.
Medical Image Anal., 2017

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning.
J. Mach. Learn. Res., 2017

Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging.
CoRR, 2017

Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Information theoretic feature projection for single-trial brain-computer interfaces.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Decoding complex imagery hand gestures.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Context-aware recursive bayesian graph traversal in BCIs.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

EEG-guided robotic mirror therapy system for lower limb rehabilitation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Target tracking via recursive Bayesian state estimation in radar networks.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
FlashType™: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals.
IEEE J. Sel. Top. Signal Process., 2016

Classification Active Learning Based on Mutual Information.
Entropy, 2016

Fast Switch Scanning Keyboards: Minimal Expected Query Decision Trees.
CoRR, 2016

Toward a brain interface for tracking attended auditory sources.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI.
Proceedings of the Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, 2016

Toward a severity index for ROP: An unsupervised approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Assessing subsets of analytes in context of detecting laboratory errors.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Computationally Efficient Exact Calculation of Kernel Density Derivatives.
J. Signal Process. Syst., 2015

Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements.
IEEE Trans. Signal Process., 2015

Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1.
IEEE Trans. Auton. Ment. Dev., 2015

A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs.
IEEE Signal Process. Lett., 2015

Minor Surfaces are Boundaries of Mode-Based Clusters.
IEEE Signal Process. Lett., 2015

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015

A novel delta check method for detecting laboratory errors.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Manifold unwrapping using critical surfaces.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Maximum a posteriori estimation of relative abundances of protein conformations.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

The Effect of Limiting Trial Count in Context Aware BCIs: A Case Study with Language Model Assisted Spelling.
Proceedings of the Foundations of Augmented Cognition, 2015

2014
Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints.
IEEE Trans. Image Process., 2014

Manifold learning by preserving distance orders.
Pattern Recognit. Lett., 2014

Structure-based level set method for automatic retinal vasculature segmentation.
EURASIP J. Image Video Process., 2014

Invertible nonlinear cluster unwrapping.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, UbiComp '14, Seattle, WA, 2014

Utilization of temporal trial dependency in ERP based BCIs.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
A Robust Fusion Algorithm for Sensor Failure.
IEEE Signal Process. Lett., 2013

Contour-based shape representation using principal curves.
Pattern Recognit., 2013

The Future of Human-in-the-Loop Cyber-Physical Systems.
Computer, 2013

Visual hull reconstruction for automated primate behavior observation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

A novel line detection method in space-time images for microvascular blood flow analysis in sublingual microcirculatory videos.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Robust Classification in RSVP Keyboard.
Proceedings of the Foundations of Augmented Cognition, 2013

Improved inference and autotyping in EEG-based BCI typing systems.
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, 2013

2012
Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis.
J. Vis. Commun. Image Represent., 2012

Local linear approximation of principal curve projections.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Constrained spectral clustering for image segmentation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Preface.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Online regularized discriminant analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Neural correlates of visual perception in rapid serial visual presentation paradigms.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A SIFT-point distribution-based method for head pose estimation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Observer and feature analysis on diagnosis of retinopathy of prematurity.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Retinal vasculature segmentation using principal spanning forests.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

RSVP keyboard: An EEG based typing interface.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A mode-based clustering algorithm without mode seeking.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Improved accuracy using recursive Bayesian estimation based language model fusion in ERP-based BCI typing systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Statistical error detection for clinical laboratory tests.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Connectivity of projected high dimensional data charts on one-dimensional curves.
Signal Process., 2011

Principal Curves as Skeletons of Tubular Objects - Locally Characterizing the Structures of Axons.
Neuroinformatics, 2011

Locally Defined Principal Curves and Surfaces.
J. Mach. Learn. Res., 2011

Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli.
Int. J. Imaging Syst. Technol., 2011

A framework for rapid visual image search using single-trial brain evoked responses.
Neurocomputing, 2011

Automated extraction of blood vessel networks from 3D microscopy image stacks via multi-scale principal curve tracing.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A ridge scorewith application to piecewise linear neural reconstruction.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

On visually evoked potentials in eeg induced by multiple pseudorandom binary sequences for brain computer interface design.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sampling on locally defined principal manifolds.
Proceedings of the IEEE International Conference on Acoustics, 2011

Polytope kernel density estimates on Delaunay graphs.
Proceedings of the IEEE International Conference on Acoustics, 2011

Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Extraction of samples from airway and vessel trees in 3D lung CT based on a multi-scale principal curve tracing algorithm.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Principal curve based semi-automatic segmentation of organs in 3D-CT.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Motion flow analysis in cell videos using a multi-level clustering method.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Context information significantly improves brain computer interface performance - a case study on text entry using a language model assisted BCI.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session MA7b: Multivariate and multimodal analysis of brain signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Numerical optimization of a sum-of-rank-1 decomposition for n-dimensional order-p symmetric tensors.
Neurocomputing, 2010

Piecewise linear cylinder models for 3-dimensional axon segmentation in brainbow imagery.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Identifying informative features for ERP speller systems based on RSVP paradigm.
Proceedings of the ESANN 2010, 2010

Principal curve tracing.
Proceedings of the ESANN 2010, 2010

Renyi's Entropy, Divergence and Their Nonparametric Estimators.
Proceedings of the Information Theoretic Learning, 2010

Self-Organizing ITL Principles for Unsupervised Learning.
Proceedings of the Information Theoretic Learning, 2010

Classification with EEC, Divergence Measures, and Error Bounds.
Proceedings of the Information Theoretic Learning, 2010

Nonlinear Adaptive Filtering with MEE, MCC, and Applications.
Proceedings of the Information Theoretic Learning, 2010

Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria.
Proceedings of the Information Theoretic Learning, 2010

Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems.
Proceedings of the Information Theoretic Learning, 2010

2009
Information Theoretic Learning.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Principal curve time warping.
IEEE Trans. Signal Process., 2009

RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection.
IEEE Trans. Neural Networks, 2009

Second-Order Volterra System Identification With Noisy Input-Output Measurements.
IEEE Signal Process. Lett., 2009

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation.
IEEE Signal Process. Lett., 2009

Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

A new approach for the reassignment of time-frequency representations.
Proceedings of the IEEE International Conference on Acoustics, 2009

Target detection using incremental learning on single-trial evoked response.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Information Theoretic Feature Selection and Projection.
Proceedings of the Speech, 2008

Continuously Differentiable Sample-Spacing Entropy Estimation.
IEEE Trans. Neural Networks, 2008

Signal processing challenges in cognitive assistive technology [Exploratory DSP].
IEEE Signal Process. Mag., 2008

Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK.
Signal Process., 2008

Mean shift spectral clustering.
Pattern Recognit., 2008

Advances in blind signal processing.
Neurocomputing, 2008

Geometric structure of sum-of-rank-1 decompositions for n-dimensional order-p symmetric tensors.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

A reproducing kernel Hilbert space framework for pairwise time series distances.
Proceedings of the Machine Learning, 2008

Density geodesics for similarity clustering.
Proceedings of the IEEE International Conference on Acoustics, 2008

Signal denoising using principal curves: Application to timewarping.
Proceedings of the IEEE International Conference on Acoustics, 2008

Local conditions for critical and principal manifolds.
Proceedings of the IEEE International Conference on Acoustics, 2008

Large-scale image database triage via EEG evoked responses.
Proceedings of the IEEE International Conference on Acoustics, 2008

Detecting mild cognitive loss with continuous monitoring of medication adherence.
Proceedings of the IEEE International Conference on Acoustics, 2008

A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Rapid image analysis using neural signals.
Proceedings of the Extended Abstracts Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007
Adaptive motion estimation schemes using maximum mutual information criterion.
Wirel. Commun. Mob. Comput., 2007

Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors.
J. VLSI Signal Process., 2007

Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing.
J. VLSI Signal Process., 2007

Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis.
J. VLSI Signal Process., 2007

The Laplacian Classifier.
IEEE Trans. Signal Process., 2007

Nonparametric Snakes.
IEEE Trans. Image Process., 2007

A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS).
Signal Process., 2007

Independent Component Analysis and Blind Source Separation.
Signal Process., 2007

Information cut for clustering using a gradient descent approach.
Pattern Recognit., 2007

Quasi-sliding mode control strategy based on multiple-linear models.
Neurocomputing, 2007

Channel Selection and Feature Projection for Cognitive Load Estimation Using Ambulatory EEG.
Comput. Intell. Neurosci., 2007

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography.
Comput. Intell. Neurosci., 2007

Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Nonparametric Approach for Active Contours.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Novel Switching Scheme Between Adaptive Information Algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2007

Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2007

Information Regularized Maximum Likelihood for Binary Motion Sensors.
Proceedings of the IEEE International Conference on Acoustics, 2007

Self-Consistent Locally Defined Principal Surfaces.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Some Equivalences between Kernel Methods and Information Theoretic Methods.
J. VLSI Signal Process., 2006

Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis.
J. VLSI Signal Process., 2006

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing.
J. VLSI Signal Process., 2006

Experimental upper bound for the performance of convolutive source separation methods.
IEEE Trans. Signal Process., 2006

Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map.
IEEE Trans. Neural Networks, 2006

From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems.
IEEE Signal Process. Mag., 2006

An analysis of entropy estimators for blind source separation.
Signal Process., 2006

Spectral feature projections that maximize Shannon mutual information with class labels.
Pattern Recognit., 2006

Feature Extraction Using Information-Theoretic Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels.
J. Frankl. Inst., 2006

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution.
Proceedings of the International Joint Conference on Neural Networks, 2006

Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2006

Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection.
Proceedings of the International Joint Conference on Neural Networks, 2006

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2006

Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Closed Form Solution for a Nonlinear Wiener Filter.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Mean Shift Spectral Clustering for Perceptual Image Segmentation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS).
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Recursive Generalized Eigendecomposition for Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Neurophysiologically driven image triage: a pilot study.
Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

2005
Error whitening criterion for adaptive filtering: theory and algorithms.
IEEE Trans. Signal Process., 2005

Stochastic blind equalization based on PDF fitting using Parzen estimator.
IEEE Trans. Signal Process., 2005

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response.
IEEE Trans. Neural Networks, 2005

Convolutive blind source separation by minimizing mutual information between segments of signals.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Quantifying spatio-temporal dependencies in epileptic ECOG.
Signal Process., 2005

Information Theoretic Signal Processing.
Signal Process., 2005

A mutual information extension to the matched filter.
Signal Process., 2005

A new classifier based on information theoretic learning with unlabeled data.
Neural Networks, 2005

Vector quantization using information theoretic concepts.
Nat. Comput., 2005

Fast error whitening algorithms for system identification and control with noisy data.
Neurocomputing, 2005

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization.
EURASIP J. Adv. Signal Process., 2005

Local Linear PID Controllers for Nonlinear Control.
Control. Intell. Syst., 2005

Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An information-theoretic perspective to kernel independent components analysis.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Learning mappings in brain machine interfaces with echo state networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

The Laplacian spectral classifier.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

MRI Image Reconstruction via Homomorphic Signal Processing.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Supervised training of adaptive systems with partially labeled data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An adaptive motion estimation scheme using maximum mutual information criteria.
Proceedings of the 13th European Signal Processing Conference, 2005

Robust matched filtering in the feature space.
Proceedings of the 13th European Signal Processing Conference, 2005

Detection of nonlinearly distorted signals using mutual information.
Proceedings of the 13th European Signal Processing Conference, 2005

Estimating cognitive state using EEG signals.
Proceedings of the 13th European Signal Processing Conference, 2005

Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information.
J. VLSI Signal Process., 2004

Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation.
IEEE Trans. Signal Process., 2004

Feature selection in MLPs and SVMs based on maximum output information.
IEEE Trans. Neural Networks, 2004

Guest Editorial Special Issue on Information Theoretic Learning.
IEEE Trans. Neural Networks, 2004

Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat.
Signal Process., 2004

Asymptotic SNR-performance of some image combination techniques for phased-array MRI.
Signal Process., 2004

Minimax Mutual Information Approach for Independent Component Analysis.
Neural Comput., 2004

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation.
EURASIP J. Adv. Signal Process., 2004

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Minimizing Fisher information of the error in supervised adaptive filter training.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Accurate linear parameter estimation in colored noise.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Parzen particle filters.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Mixture of competitive linear models for phased-array magnetic resonance imaging.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Gaussianizing Transformations for ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Blind equalization of multilevel signals using support vector machines.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training.
IEEE Trans. Signal Process., 2003

Online entropy manipulation: stochastic information gradient.
IEEE Signal Process. Lett., 2003

Stochastic error whitening algorithm for linear filter estimation with noisy data.
Neural Networks, 2003

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models.
Neural Networks, 2003

Fast error whitening algorithms for system identification and control.
Proceedings of the NNSP 2003, 2003

Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm.
Proceedings of the NNSP 2003, 2003

SOM-based similarity index measure: quantifying interactions between multivariate structures.
Proceedings of the NNSP 2003, 2003

Image combination for high-field phased-array MRI.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Matched pdf-based blind equalization.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Echo cancellation by global optimization of Kautz filters using an information theoretic criterion.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A hybrid subspace projection method for system identification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

On the convergence of SIPEX: a simultaneous principal components extraction algorithm.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Linear Least-Squares Based Methods for Neural Networks Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Accelerating the convergence speed of neural networks learning methods using least squares.
Proceedings of the ESANN 2003, 2003

Recursive Least Squares for an Entropy Regularized MSE Cost Function.
Proceedings of the ESANN 2003, 2003

Information Force Clustering Using Directed Trees.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002
Entropy minimization for supervised digital communications channel equalization.
IEEE Trans. Signal Process., 2002

An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems.
IEEE Trans. Signal Process., 2002

Generalized information potential criterion for adaptive system training.
IEEE Trans. Neural Networks, 2002

Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation.
Nat. Comput., 2002

Blind source separation using Renyi's -marginal entropies.
Neurocomputing, 2002

Insights on the relationship between probability of misclassification and information transfer through classifiers.
Int. J. Comput. Syst. Signals, 2002

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection.
EURASIP J. Adv. Signal Process., 2002

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Modified Kalman filter based method for training state-recurrent multilayer perceptrons.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A recursive Renyi's entropy estimator.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Do Hebbian synapses estimate entropy?
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Underdetermined blind source separation in a time-varying environment.
Proceedings of the IEEE International Conference on Acoustics, 2002

Blind source separation of time-varying instantaneous mixtures using an on-line algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2002

Simultaneous extraction of Principal Components using givens rotations and output variances.
Proceedings of the IEEE International Conference on Acoustics, 2002

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems.
Proceedings of the Artificial Neural Networks, 2002

Estimation of the mixing matrix for underdetermined blind source separation using spectral estimation techniques.
Proceedings of the 11th European Signal Processing Conference, 2002

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G.
Proceedings of the 11th European Signal Processing Conference, 2002

Blind deconvolution with minimum Renyi's entropy.
Proceedings of the 11th European Signal Processing Conference, 2002

Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Blind source separation using Renyi's mutual information.
IEEE Signal Process. Lett., 2001


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