Tülay Adali

According to our database1, Tülay Adali authored at least 254 papers between 1991 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2009, "For contributions to nonlinear and complex-valued statistical signal processing".

Timeline

Legend:

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PhD thesis 
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Links

Homepages:

On csauthors.net:

Bibliography

2019
Adaptive Feature Selection and Feature Fusion for Semi-supervised Classification.
Signal Processing Systems, 2019

Extraction of Time-Varying Spatiotemporal Networks Using Parameter-Tuned Constrained IVA.
IEEE Trans. Med. Imaging, 2019

A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.
NeuroImage, 2019

C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.
IEEE Trans. Biomed. Engineering, 2018

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proceedings of the IEEE, 2018

The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails.
Proceedings of the IEEE, 2018

Applications of Graph Theory.
Proceedings of the IEEE, 2018

Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis.
J. Franklin Institute, 2018

Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A two-level ICA approach reveals important differences in the female brain response to thermal pain.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

IVA-Based Spatio-Temporal Dynamic Connectivity Analysis in Large-Scale FMRI Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Erratum: Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
Signal Processing Systems, 2017

Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia.
IEEE Trans. Med. Imaging, 2017

Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Parameter-free automated extraction of neuronal signals from calcium imaging data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Two models for fusion of medical imaging data: Comparison and connections.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Flexible large-scale fMRI analysis: A survey.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Non-orthogonal constrained independent vector analysis: Application to data fusion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Data-driven fusion of multi-camera video sequences: Application to abandoned object detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers.
Proceedings of the 25th European Signal Processing Conference, 2017

A graph theoretical approach for performance comparison of ICA for fMRI analysis.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Power spectra constrained IVA for enhanced detection of SSVEP content.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Estimation of common subspace order across multiple datasets: Application to multi-subject fMRI data.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016
Spectral-Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy.
IEEE Trans. Geoscience and Remote Sensing, 2016

Time-Varying Brain Connectivity in fMRI Data: Whole-brain data-driven approaches for capturing and characterizing dynamic states.
IEEE Signal Process. Mag., 2016

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proceedings of the IEEE, 2016

Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data.
NeuroImage, 2016

Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.
J. Sel. Topics Signal Processing, 2016

On the characterization, generation, and efficient estimation of the complex multivariate GGD.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Time-varying frequency modes of resting fMRI brain networks reveal significant gender differences.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Classification of hyperspectral data with ensemble of subspace ICA and edge-preserving filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

IVA for abandoned object detection: Exploiting dependence across color channels.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Complex Independent Component Analysis Using Three Types of Diversity: Non-Gaussianity, Nonwhiteness, and Noncircularity.
IEEE Trans. Signal Processing, 2015

General Nonunitary Constrained ICA and its Application to Complex-Valued fMRI Data.
IEEE Trans. Biomed. Engineering, 2015

Independent Vector Analysis for Gradient Artifact Removal in Concurrent EEG-fMRI Data.
IEEE Trans. Biomed. Engineering, 2015

A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation.
IEEE Signal Process. Lett., 2015

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects.
Proceedings of the IEEE, 2015

Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties.
Proceedings of the IEEE, 2015

Multimodal Data Fusion Using Source Separation: Application to Medical Imaging.
Proceedings of the IEEE, 2015

Multimodal Data Fusion [Scanning the Issue].
Proceedings of the IEEE, 2015

Comparison of PCA approaches for very large group ICA.
NeuroImage, 2015

Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data.
CoRR, 2015

Density estimation by entropy maximization with kernels.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A data-driven solution for abandoned object detection: Advantages of multiple types of diversity.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Independent vector analysis by entropy rate bound minimization.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

Independent vector analysis for SSVEP signal enhancement.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

An efficient multivariate generalized Gaussian distribution estimator: Application to IVA.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014
Guest Editorial: Machine Learning for Signal Processing.
Signal Processing Systems, 2014

General Non-Orthogonal Constrained ICA.
IEEE Trans. Signal Processing, 2014

Blind Source Separation by Entropy Rate Minimization.
IEEE Trans. Signal Processing, 2014

Likelihood Estimators for Dependent Samples and Their Application to Order Detection.
IEEE Trans. Signal Processing, 2014

Unbiased Recursive Least-Squares Estimation Utilizing Dichotomous Coordinate-Descent Iterations.
IEEE Trans. Signal Processing, 2014

Independent Vector Analysis: Identification Conditions and Performance Bounds.
IEEE Trans. Signal Processing, 2014

Optimization and Estimation of Complex-Valued Signals: Theory and applications in filtering and blind source separation.
IEEE Signal Process. Mag., 2014

Diversity in Independent Component and Vector Analyses: Identifiability, algorithms, and applications in medical imaging.
IEEE Signal Process. Mag., 2014

A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging.
NeuroImage, 2014

Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis.
NeuroImage, 2014

Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks.
NeuroImage, 2014

Impact of autocorrelation on functional connectivity.
NeuroImage, 2014

A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

ICA and IVA: Theory, connections, and applications to medical imaging.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

Multidataset independent subspace analysis extends independent vector analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Entropy rate estimation for vector processes: Application to complex FMRI analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Performance of complex-valued ICA algorithms for fMRI analysis: Importance of taking full diversity into account.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

An efficient entropy rate estimator for complex-valued signal processing: Application to ICA.
Proceedings of the IEEE International Conference on Acoustics, 2014

A novel approach for assessing reliability of ICA for FMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

Gradient artifact removal in concurrently acquired EEG data using independent vector analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

Challenges in multimodal data fusion.
Proceedings of the 22nd European Signal Processing Conference, 2014

Unbiased RLS identification of errors-in-variables models in the presence of correlated noise.
Proceedings of the 22nd European Signal Processing Conference, 2014

Data-driven fusion of EEG, functional and structural MRI: A comparison of two models.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Capturing subject variability in data driven fMRI analysis: A graph theoretical comparison.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
Noncircular Complex ICA by Generalized Householder Reflections.
IEEE Trans. Signal Processing, 2013

Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications.
IEEE Trans. Multimedia, 2013

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2013

Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia.
NeuroImage, 2013

Independent Vector Analysis: Identification Conditions and Performance Bounds
CoRR, 2013

Kernel-based tensor partial least squares for reconstruction of limb movements.
Proceedings of the IEEE International Conference on Acoustics, 2013

Capturing group variability using IVA: A simulation study and graph-theoretical analysis.
Proceedings of the IEEE International Conference on Acoustics, 2013

Algorithms for Markovian source separation by entropy rate minimization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive feature split selection for co-training: Application to tire irregular wear classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

Independent vector analysis, the Kotz distribution, and performance bounds.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Order Selection of the Linear Mixing Model for Complex-Valued FMRI Data.
Signal Processing Systems, 2012

A Novel Approach for Target Detection and Classification Using Canonical Correlation Analysis.
Signal Processing Systems, 2012

Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis.
Signal Processing Systems, 2012

A Class of Adaptive Algorithms Based on Entropy Estimation Achieving CRLB for Linear Non-Gaussian Filtering.
IEEE Trans. Signal Processing, 2012

Complex-Valued Linear and Widely Linear Filtering Using MSE and Gaussian Entropy.
IEEE Trans. Signal Processing, 2012

Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis.
IEEE Trans. Signal Processing, 2012

Complex-valued independent vector analysis: Application to multivariate Gaussian model.
Signal Processing, 2012

De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data.
Pattern Recognition, 2012

Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest.
NeuroImage, 2012

Constrained Source-Based Morphometry Identifies Structural Networks Associated with Default Mode Network.
Brain Connectivity, 2012

Complex-valued analysis and visualization of fMRI data for event-related and block-design paradigms.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Order detection for dependent samples using entropy rate.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

An effective decoupling method for matrix optimization and its application to the ICA problem.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

IVA and ICA: Use of diversity in independent decompositions.
Proceedings of the 20th European Signal Processing Conference, 2012

Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Quality Map Thresholding for De-noising of Complex-Valued fMRI Data and Its Application to ICA of fMRI.
Signal Processing Systems, 2011

On Testing the Extent of Noncircularity.
IEEE Trans. Signal Processing, 2011

Noncircular Principal Component Analysis and Its Application to Model Selection.
IEEE Trans. Signal Processing, 2011

Blind Separation of Noncircular Correlated Sources Using Gaussian Entropy Rate.
IEEE Trans. Signal Processing, 2011

Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety.
IEEE Trans. Signal Processing, 2011

Automatic Identification of Functional Clusters in fMRI Data Using Spatial Dependence.
IEEE Trans. Biomed. Engineering, 2011

Application of Independent Component Analysis With Adaptive Density Model to Complex-Valued fMRI Data.
IEEE Trans. Biomed. Engineering, 2011

Trends in Machine Learning for Signal Processing [In the Spotlight].
IEEE Signal Process. Mag., 2011

Joint blind source separation by generalized joint diagonalization of cumulant matrices.
Signal Processing, 2011

Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.
NeuroImage, 2011

Wavelet-based fMRI analysis: 3-D denoising, signal separation, and validation metrics.
NeuroImage, 2011

A maximum likelihood approach for independent vector analysis of Gaussian data sets.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

IVA for multi-subject FMRI analysis: A comparative study using a new simulation toolbox.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

A new metric to measure shape differences in fMRI activity.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Improved 3D wavelet-based de-noising of fMRI data.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Wavelet-based denoising and independent component analysis for improving multi-group inference in fMRI data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Joint blind source separation from second-order statistics: Necessary and sufficient identifiability conditions.
Proceedings of the IEEE International Conference on Acoustics, 2011

Complex-valued Gaussian signal processing: Optimality of MSE, incorporation of full statistics, and a unified view.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

A class of adaptive algorithms based on ML for non-Gaussian linear filtering.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010
On entropy rate for the complex domain and its application to i.i.d. sampling.
IEEE Trans. Signal Processing, 2010

A complex generalized Gaussian distribution: characterization, generation, and estimation.
IEEE Trans. Signal Processing, 2010

Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus.
IEEE Trans. Signal Processing, 2010

Independent component analysis by entropy bound minimization.
IEEE Trans. Signal Processing, 2010

Complex Independent Component Analysis by Entropy Bound Minimization.
IEEE Trans. on Circuits and Systems, 2010

Automatic Bayesian Classification of Healthy Controls, Bipolar Disorder, and Schizophrenia Using Intrinsic Connectivity Maps From fMRI Data.
IEEE Trans. Biomed. Engineering, 2010

Canonical Correlation Analysis for Data Fusion and Group Inferences.
IEEE Signal Process. Mag., 2010

A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia.
NeuroImage, 2010

Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI.
NeuroImage, 2010

Changes in fMRI magnitude data and phase data observed in block-design and event-related tasks.
NeuroImage, 2010

Phase correction and denoising for ICA of complex FMRI data.
Proceedings of the IEEE International Conference on Acoustics, 2010

Independent subspace analysis with prior information for fMRI data.
Proceedings of the IEEE International Conference on Acoustics, 2010

Flexible complex ICA of fMRI data.
Proceedings of the IEEE International Conference on Acoustics, 2010

Blind spatiotemporal separation of second and/or higher-order correlated sources by entropy rate minimization.
Proceedings of the IEEE International Conference on Acoustics, 2010

Flexible adaptive filtering by minimization of error entropy bound and its application to system identification.
Proceedings of the IEEE International Conference on Acoustics, 2010

Fusion of concurrent single trial EEG data and fMRI data using multi-set canonical correlation analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

Second and Higher-Order Correlation Analysis of Multiple Multidimensional Variables by Joint Diagonalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Nonorthogonal Independent Vector Analysis Using Multivariate Gaussian Model.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

A General Approach for Robustification of ICA Algorithms.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

A relative gradient algorithm for joint decompositions of complex matrices.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Subspace Partitioning for Target Detection and Identification.
IEEE Trans. Signal Processing, 2009

Joint blind source separation by multiset canonical correlation analysis.
IEEE Trans. Signal Processing, 2009

Feature-Based Fusion of Medical Imaging Data.
IEEE Trans. Information Technology in Biomedicine, 2009

Circularity and Gaussianity Detection Using the Complex Generalized Gaussian Distribution.
IEEE Signal Process. Lett., 2009

An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques.
NeuroImage, 2009

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.
NeuroImage, 2009

On ICA of improper and noncircular sources.
Proceedings of the IEEE International Conference on Acoustics, 2009

Using complex-valued ICA to efficiently combine radar polarimetric data for target detection.
Proceedings of the IEEE International Conference on Acoustics, 2009

Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009

On properties of the widely linear MSE filter and its LMS implementation.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

2008
On Extending the Complex FastICA Algorithm to Noncircular Sources.
IEEE Trans. Signal Processing, 2008

Complex ICA Using Nonlinear Functions.
IEEE Trans. Signal Processing, 2008

Complex ICA by Negentropy Maximization.
IEEE Trans. Neural Networks, 2008

A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function.
IEEE Trans. Neural Networks, 2008

Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia.
J. Sel. Topics Signal Processing, 2008

Introduction to the Issue on fMRI Analysis for Human Brain Mapping.
J. Sel. Topics Signal Processing, 2008

Complex-Valued Adaptive Signal Processing Using Nonlinear Functions.
EURASIP J. Adv. Sig. Proc., 2008

Examining associations between FMRI and EEG data using canonical correlation analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls.
Proceedings of the IEEE International Conference on Acoustics, 2008

On ICA of complex-valued fMRI: Advantages and order selection.
Proceedings of the IEEE International Conference on Acoustics, 2008

Target detection and identification using canonical correlation analysis and subspace partitioning.
Proceedings of the IEEE International Conference on Acoustics, 2008

A constrained coefficient ica algorithm for group difference enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2008

On quantifying the effects of noncircularity on the complex fastica algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2008

CCA for joint blind source separation of multiple datasets with application to group FMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008

Stability analysis of complex maximum likelihood ica using Wirtinger calculus.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
VLSI Signal Processing, 2007

Detection using correlation bound in a linear mixture model.
Signal Processing, 2007

A Feature-Selective Independent Component Analysis Method for Functional MRI.
Int. J. Biomedical Imaging, 2007

Complex Fixed-Point ICA Algorithm for Separation of QAM Sources using Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Practical Formulation for Computation of Complex Gradients and its Application to Maximum Likelihood ICA.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Complex Infomax: Convergence and Approximation of Infomax with Complex Nonlinearities.
VLSI Signal Processing, 2006

Neuronal chronometry of target detection: Fusion of hemodynamic and event-related potential data.
NeuroImage, 2006

Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models.
Int. J. Biomedical Imaging, 2006

Sample dependence correction for order selection in fMRI analysis.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Stability Analysis of Complex-Valued Nonlinearities for Maximization of Nongaussianity.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

The Maximum Likelihood Approach to Complex ICA.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Fusion of Multisubject Hemodynamic and Event-Related Potential Data Using Independent Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Discontinuity-embedded deformable models for surface reconstruction from range images.
IEEE Signal Process. Lett., 2005

Eigenanalysis of autocorrelation matrices in the presence of noncentral and signal-dependent noise.
IEEE Signal Process. Lett., 2005

Partial likelihood for online order selection.
Signal Processing, 2005

Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis.
NeuroImage, 2005

Probability distribution estimation for an integrated coding and equalization scheme in optical communications systems.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Feature-selective ICA and its convergence properties.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Data Fusion for Modern Engineering Applications: An Overview.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Integrated MAP equalization and turbo product coding for optical fiber communications systems.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

2004
Guest Editorial for Special Issue on Machine Learning for Signal Processing.
VLSI Signal Processing, 2004

Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results.
VLSI Signal Processing, 2004

A frequency-domain training approach for equalization and noise suppression in discrete multitone systems.
Signal Processing, 2004

Independent Component Analysis of Complex-Valued Functional Magnetic Resonance Imaging Data by Complex Nonlinearities.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

A MAP equalizer for the optical communications channel.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Independent component analysis by complex nonlinearities.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A discontinuity-embedded deformable model for surface modeling.
Proceedings of the Second IASTED International Conference on Circuits, 2004

2003
Partial likelihood for signal processing.
IEEE Trans. Signal Processing, 2003

Approximation by Fully Complex Multilayer Perceptrons.
Neural Computation, 2003

Complex ICA for fMRI analysis: performance of several approaches.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Electronic equalization in optical fiber communications.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Fully Complex Multi-Layer Perceptron Network for Nonlinear Signal Processing.
VLSI Signal Processing, 2002

Guest Editors' Introduction.
VLSI Signal Processing, 2002

Guest editorial special issue on intelligent multimedia processing.
IEEE Trans. Neural Networks, 2002

Complex infomax: convergence and approximation of infomax with complex nonlinearities.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Polarization diversity and equalization for PMD mitigation in optical communication systems.
Proceedings of the IEEE International Conference on Acoustics, 2002

Universal approximation of fully complex feed-forward neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2002

On complex infomax applied to functional MRI data.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Magnetic resonance image analysis by information theoretic criteria and stochastic site models.
IEEE Trans. Information Technology in Biomedicine, 2001

On-line order selection for communications.
Proceedings of the IEEE International Conference on Acoustics, 2001

Complex backpropagation neural network using elementary transcendental activation functions.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
A General Probabilistic Formulation for Supervised Neural Classifiers.
VLSI Signal Processing, 2000

Guest Editors' Introduction.
VLSI Signal Processing, 2000

Time-Dmain Equalizer Design for Discrete Multitone Systems.
Proceedings of the 2000 IEEE International Conference on Communications: Global Convergence Through Communications, 2000

A Weighted Frequency-Domain Least Squares Approach for Equalization in Discrete Multitone Systems.
Proceedings of the 2000 IEEE International Conference on Communications: Global Convergence Through Communications, 2000

An adaptive phase equalizer for reducing timing jitter due to acoustic effect.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
NOx and CO Prediction in Fossil Fuel Plants by Time Delay Neural Networks.
Integrated Computer-Aided Engineering, 1999

Adaptive Filtering of Visual Evoked Responses in FMRI: Variability of Response.
Proceedings of the Signal and Image Processing (SIP), 1999

A general formulation for learning multi-class posterior probabilities.
Proceedings of the International Joint Conference Neural Networks, 1999

Bayesian belief networks for effective troubleshooting.
Proceedings of the International Joint Conference Neural Networks, 1999

Least relative entropy for voiced/unvoiced speech classification.
Proceedings of the International Joint Conference Neural Networks, 1999

Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Neural networks to estimate ML multi-class constrained conditional probability density functions.
Proceedings of the International Joint Conference Neural Networks, 1999

Partial likelihood for estimation of multi-class posterior probabilities.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures.
VLSI Signal Processing, 1998

Guest Editor's Introduction.
VLSI Signal Processing, 1998

Quantification and segmentation of brain tissues from MR images: a probabilistic neural network approach.
IEEE Trans. Image Processing, 1998

A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences.
Int. J. Imaging Systems and Technology, 1998

A piecewise linear recurrent neural network structure and its dynamics.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

A signal processing approach for effective reduction of timing jitter due to the acoustic effect.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Nonlinear decision feedback equalization using RCPL network.
Proceedings of the 9th European Signal Processing Conference, 1998

A likelihood framework for nonlinear signal processing with finite normal mixtures.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Conditional distribution learning with neural networks and its application to channel equalization.
IEEE Trans. Signal Processing, 1997

Canonical piecewise linear network for nonlinear filtering and its application to blind equalization.
Signal Processing, 1997

Modeling nuclear reactor core dynamics with recurrent neural networks.
Neurocomputing, 1997

Surface reconstruction and visualization of the surgical prostate model.
Proceedings of the Medical Imaging 1997: Image Display, 1997

A Deformable Surface-Spine Model for 3-D Surface Registration.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Recurrent canonical piecewise linear network for blind equalization.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Magnetic resonance image reconstruction from non-equidistantly sampled data.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Recurrent canonical piecewise linear network and its application to adaptive equalization.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Information geometry of maximum partial likelihood estimation for channel equalization.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Efficient learning of standard finite normal mixtures for image quantification.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Partial likelihood for real-time signal processing.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Channel equalization using partial likelihood estimation and recurrent canonical piecewise linear network.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
On the effect of input signal correlation on weight misadjustment in the RLS algorithm.
IEEE Trans. Signal Processing, 1995

Segmentation of magnetic resonance brain image: integrating region growing and edge detection.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

On the dynamics of the LRE algorithm: a distribution learning approach to adaptive equalization.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Probabilistic Neural Networks for Medical Image Quantification.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

DSP and communication engineering education with graphical block diagram simulation tools.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Channel equalization with perceptrons: an information-theoretic approach.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1991
Analysis of a stabilization technique for the fixed-point prewindowed RLS algorithm.
IEEE Trans. Signal Processing, 1991


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