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
2020
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
IEEE Access, 2020
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
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020
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
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
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
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
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
Signal Process., 2019
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
IEEE Access, 2019
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
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
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
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
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
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
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
J. Signal Process. Syst., 2018
IEEE Signal Process. Lett., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
IEEE J. Sel. Top. Signal Process., 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
CoRR, 2018
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.
CoRR, 2018
Biomed. Signal Process. Control., 2018
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
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
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
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.
Medical Image Anal., 2017
J. Mach. Learn. Res., 2017
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging.
CoRR, 2017
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017
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
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE J. Sel. Top. Signal Process., 2016
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
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
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
IEEE Trans. Auton. Ment. Dev., 2015
IEEE Signal Process. Lett., 2015
IEEE Signal Process. Lett., 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
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
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
EURASIP J. Image Video Process., 2014
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
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
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
Proceedings of the Foundations of Augmented Cognition, 2013
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
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
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
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
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
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
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
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
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
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Signal Process., 2011
Principal Curves as Skeletons of Tubular Objects - Locally Characterizing the Structures of Axons.
Neuroinformatics, 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
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
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
Proceedings of the IEEE International Conference on Acoustics, 2011
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
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
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
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
Proceedings of the ESANN 2010, 2010
Proceedings of the Information Theoretic Learning, 2010
Proceedings of the Information Theoretic Learning, 2010
Proceedings of the Information Theoretic Learning, 2010
Proceedings of the Information Theoretic Learning, 2010
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
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection.
IEEE Trans. Neural Networks, 2009
IEEE Signal Process. Lett., 2009
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
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Proceedings of the Speech, 2008
IEEE Trans. Neural Networks, 2008
IEEE Signal Process. Mag., 2008
Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK.
Signal Process., 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
Proceedings of the Machine Learning, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
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
Proceedings of the Extended Abstracts Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008
2007
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
Signal Process., 2007
Pattern Recognit., 2007
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
Proceedings of the International Joint Conference on Neural Networks, 2007
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
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
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
Spectral feature projections that maximize Shannon mutual information with class labels.
Pattern Recognit., 2006
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
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
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
Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006
2005
IEEE Trans. Signal Process., 2005
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
Neural Networks, 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
Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
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
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
Signal Process., 2004
Asymptotic SNR-performance of some image combination techniques for phased-array MRI.
Signal Process., 2004
Neural Comput., 2004
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
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
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
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
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
IEEE Signal Process. Lett., 2003
Neural Networks, 2003
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models.
Neural Networks, 2003
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
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
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
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
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
Proceedings of the ESANN 2003, 2003
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003
2002
IEEE Trans. Signal Process., 2002
An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems.
IEEE Trans. Signal Process., 2002
IEEE Trans. Neural Networks, 2002
Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation.
Nat. Comput., 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
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
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
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
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
IEEE Signal Process. Lett., 2001