Tülay Adali
According to our database^{1},
Tülay Adali
authored at least 259 papers
between 1991 and 2020.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2009, "For contributions to nonlinear and complexvalued statistical signal processing".
Timeline
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at wikidata.org

at orcid.org

at id.loc.gov
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Bibliography
2020
Independent vector analysis for common subspace analysis: Application to multisubject fMRI data yields meaningful subgroups of schizophrenia.
NeuroImage, 2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid19.
CoRR, 2020
2019
Adaptive Feature Selection and Feature Fusion for Semisupervised Classification.
J. Signal Process. Syst., 2019
Extraction of TimeVarying Spatiotemporal Networks Using ParameterTuned Constrained IVA.
IEEE Trans. Medical Imaging, 2019
A new blind source separation framework for signal analysis and artifact rejection in functional NearInfrared Spectroscopy.
NeuroImage, 2019
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion.
CoRR, 2019
Tracing Network Evolution Using the PARAFAC2 Model.
CoRR, 2019
CICT 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 SubjectSpecific 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. Frankl. Inst., 2018
Independent Component Analysis Using SemiParametric Density Estimation Via Entropy Maximization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
A twolevel 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
IVABased SpatioTemporal Dynamic Connectivity Analysis in LargeScale 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: Nonnegative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
J. Signal Process. Syst., 2017
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia.
IEEE Trans. Medical Imaging, 2017
Tensorbased fusion of EEG and FMRI to understand neurological changes in schizophrenia.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Parameterfree 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 largescale 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
Nonorthogonal constrained independent vector analysis: Application to data fusion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Datadriven fusion of multicamera video sequences: Application to abandoned object detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
ACMTF for fusion of multimodal 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 multisubject fMRI data.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017
2016
SpectralSpatial Classification of Hyperspectral Images Using ICA and EdgePreserving Filter via an Ensemble Strategy.
IEEE Trans. Geosci. Remote. Sens., 2016
TimeVarying Brain Connectivity in fMRI Data: Wholebrain datadriven approaches for capturing and characterizing dynamic states.
IEEE Signal Process. Mag., 2016
Linked Component Analysis From Matrices to HighOrder Tensors: Applications to Biomedical Data.
Proceedings of the IEEE, 2016
Samplepoor 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.
IEEE J. Sel. Top. Signal Process., 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
Timevarying 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 edgepreserving 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: NonGaussianity, Nonwhiteness, and Noncircularity.
IEEE Trans. Signal Process., 2015
General Nonunitary Constrained ICA and its Application to ComplexValued fMRI Data.
IEEE Trans. Biomed. Engineering, 2015
Independent Vector Analysis for Gradient Artifact Removal in Concurrent EEGfMRI Data.
IEEE Trans. Biomed. Engineering, 2015
A New Riemannian Averaged FixedPoint 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
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 datadriven 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.
J. Signal Process. Syst., 2014
General NonOrthogonal Constrained ICA.
IEEE Trans. Signal Process., 2014
Blind Source Separation by Entropy Rate Minimization.
IEEE Trans. Signal Process., 2014
Likelihood Estimators for Dependent Samples and Their Application to Order Detection.
IEEE Trans. Signal Process., 2014
Unbiased Recursive LeastSquares Estimation Utilizing Dichotomous CoordinateDescent Iterations.
IEEE Trans. Signal Process., 2014
Independent Vector Analysis: Identification Conditions and Performance Bounds.
IEEE Trans. Signal Process., 2014
Optimization and Estimation of ComplexValued 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 complexvalued 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 complexvalued 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 errorsinvariables models in the presence of correlated noise.
Proceedings of the 22nd European Signal Processing Conference, 2014
Datadriven 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 Process., 2013
Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications.
IEEE Trans. Multimedia, 2013
Kernelization of TensorBased Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013
Special Issue on Advances in KernelBased Learning for Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2013
Threeway (Nway) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia.
NeuroImage, 2013
Kernelbased 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 graphtheoretical 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 cotraining: 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 ComplexValued FMRI Data.
J. Signal Process. Syst., 2012
A Novel Approach for Target Detection and Classification Using Canonical Correlation Analysis.
J. Signal Process. Syst., 2012
Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis.
J. Signal Process. Syst., 2012
A Class of Adaptive Algorithms Based on Entropy Estimation Achieving CRLB for Linear NonGaussian Filtering.
IEEE Trans. Signal Process., 2012
ComplexValued Linear and Widely Linear Filtering Using MSE and Gaussian Entropy.
IEEE Trans. Signal Process., 2012
Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis.
IEEE Trans. Signal Process., 2012
Complexvalued independent vector analysis: Application to multivariate Gaussian model.
Signal Process., 2012
Denoising, phase ambiguity correction and visualization techniques for complexvalued ICA of group fMRI data.
Pattern Recognit., 2012
Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest.
NeuroImage, 2012
Constrained SourceBased Morphometry Identifies Structural Networks Associated with Default Mode Network.
Brain Connect., 2012
Complexvalued analysis and visualization of fMRI data for eventrelated and blockdesign 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
Threeway FMRIDTImethylation 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 Denoising of ComplexValued fMRI Data and Its Application to ICA of fMRI.
J. Signal Process. Syst., 2011
On Testing the Extent of Noncircularity.
IEEE Trans. Signal Process., 2011
Noncircular Principal Component Analysis and Its Application to Model Selection.
IEEE Trans. Signal Process., 2011
Blind Separation of Noncircular Correlated Sources Using Gaussian Entropy Rate.
IEEE Trans. Signal Process., 2011
ComplexValued Signal Processing: The Proper Way to Deal With Impropriety.
IEEE Trans. Signal Process., 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 ComplexValued 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 Process., 2011
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.
NeuroImage, 2011
Waveletbased fMRI analysis: 3D 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 multisubject 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 waveletbased denoising 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
Waveletbased denoising and independent component analysis for improving multigroup 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 secondorder statistics: Necessary and sufficient identifiability conditions.
Proceedings of the IEEE International Conference on Acoustics, 2011
Complexvalued 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 nonGaussian 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 Process., 2010
A complex generalized Gaussian distribution: characterization, generation, and estimation.
IEEE Trans. Signal Process., 2010
Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus.
IEEE Trans. Signal Process., 2010
Independent component analysis by entropy bound minimization.
IEEE Trans. Signal Process., 2010
Complex Independent Component Analysis by Entropy Bound Minimization.
IEEE Trans. Circuits Syst. I Regul. Pap., 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 multitask brain imaging data fusion and its application to schizophrenia.
NeuroImage, 2010
Multiset 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 blockdesign and eventrelated 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 higherorder 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 multiset canonical correlation analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010
Second and HigherOrder 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 Process., 2009
Joint blind source separation by multiset canonical correlation analysis.
IEEE Trans. Signal Process., 2009
FeatureBased Fusion of Medical Imaging Data.
IEEE Trans. Inf. Technol. Biomed., 2009
Circularity and Gaussianity Detection Using the Complex Generalized Gaussian Distribution.
IEEE Signal Process. Lett., 2009
An ICAbased method for the identification of optimal FMRI features and components using combined groupdiscriminative 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 complexvalued 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 Process., 2008
Complex ICA Using Nonlinear Functions.
IEEE Trans. Signal Process., 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 FeatureBased Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia.
IEEE J. Sel. Top. Signal Process., 2008
Introduction to the Issue on fMRI Analysis for Human Brain Mapping.
IEEE J. Sel. Top. Signal Process., 2008
ComplexValued Adaptive Signal Processing Using Nonlinear Functions.
EURASIP J. Adv. Signal Process., 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 complexvalued 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
Nonnegative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
J. VLSI Signal Process., 2007
Complex ICA of Brain Imaging Data [Life Sciences].
IEEE Signal Process. Mag., 2007
Detection using correlation bound in a linear mixture model.
Signal Process., 2007
A FeatureSelective Independent Component Analysis Method for Functional MRI.
Int. J. Biomed. Imaging, 2007
Complex FixedPoint 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.
J. VLSI Signal Process., 2006
Neuronal chronometry of target detection: Fusion of hemodynamic and eventrelated potential data.
NeuroImage, 2006
Nonrigid Medical Image Registration by FiniteElement Deformable SheetCurve Models.
Int. J. Biomed. 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 ComplexValued 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 EventRelated Potential Data Using Independent Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
Discontinuityembedded deformable models for surface reconstruction from range images.
IEEE Signal Process. Lett., 2005
Eigenanalysis of autocorrelation matrices in the presence of noncentral and signaldependent noise.
IEEE Signal Process. Lett., 2005
Partial likelihood for online order selection.
Signal Process., 2005
Semiblind ICA of fMRI: A method for utilizing hypothesisderived 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
Featureselective 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.
J. VLSI Signal Process., 2004
Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results.
J. VLSI Signal Process., 2004
A frequencydomain training approach for equalization and noise suppression in discrete multitone systems.
Signal Process., 2004
Independent Component Analysis of ComplexValued 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 discontinuityembedded deformable model for surface modeling.
Proceedings of the Second IASTED International Conference on Circuits, 2004
2003
Partial likelihood for signal processing.
IEEE Trans. Signal Process., 2003
Latency (in)sensitive ICA: Group independent component analysis of fMRI data in the temporal frequency domain.
NeuroImage, 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 MultiLayer Perceptron Network for Nonlinear Signal Processing.
J. VLSI Signal Process., 2002
Guest Editors' Introduction.
J. VLSI Signal Process., 2002
Guest editorial special issue on intelligent multimedia processing.
IEEE Trans. Neural Networks, 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 feedforward 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. Inf. Technol. Biomed., 2001
Online 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.
J. VLSI Signal Process., 2000
Guest Editors' Introduction.
J. VLSI Signal Process., 2000
TimeDmain Equalizer Design for Discrete Multitone Systems.
Proceedings of the 2000 IEEE International Conference on Communications: Global Convergence Through Communications, 2000
A Weighted FrequencyDomain 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.
Integr. Comput. Aided Eng., 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 multiclass 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 multiclass a posteriori probabilities in time series problems with neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999
Neural networks to estimate ML multiclass constrained conditional probability density functions.
Proceedings of the International Joint Conference Neural Networks, 1999
Partial likelihood for estimation of multiclass posterior probabilities.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
Quantitative Analysis of MR Brain Image Sequences by Adaptive SelfOrganizing Finite Mixtures.
J. VLSI Signal Process., 1998
Guest Editor's Introduction.
J. VLSI Signal Process., 1998
Quantification and segmentation of brain tissues from MR images: a probabilistic neural network approach.
IEEE Trans. Image Process., 1998
A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences.
Int. J. Imaging Syst. Technol., 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 Process., 1997
Canonical piecewise linear network for nonlinear filtering and its application to blind equalization.
Signal Process., 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 SurfaceSpine Model for 3D 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 nonequidistantly 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 realtime 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 Process., 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 informationtheoretic approach.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1992
Multichannel general order FTF algorithm and its application to the equalization of mobile communication channels.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1991
Analysis of a stabilization technique for the fixedpoint prewindowed RLS algorithm.
IEEE Trans. Signal Process., 1991
Fixedpoint roundoff error analysis of the RLS algorithm with timevarying channels.
Proceedings of the 1991 International Conference on Acoustics, 1991