Tülay Adali

发表

Bayesian belief networks for effective troubleshooting

Anand Mishra, Tülay Adali, T. Adalı, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Complex-Valued Adaptive Signal Processing Using Nonlinear Functions

Hualiang Li, Tülay Adali, T. Adalı, 2008, EURASIP J. Adv. Signal Process..

Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling

Vince D. Calhoun, Marios S. Pattichis, Sergey M. Plis, 2016, IEEE Journal of Selected Topics in Signal Processing.

Time-Varying Brain Connectivity in fMRI Data: Whole-brain data-driven approaches for capturing and characterizing dynamic states

Vince D. Calhoun, Tülay Adali, V. Calhoun, 2016, IEEE Signal Processing Magazine.

Guest editorial special issue on intelligent multimedia processing

Ling Guan, Shigeru Katagiri, Jan Larsen, 2002, IEEE Trans. Neural Networks.

Least relative entropy for voiced/unvoiced speech classification

Tülay Adali, Darren Emge, M. Kemal Sönmez, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

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

Vince D. Calhoun, Tülay Adali, Jing Sui, 2009, NeuroImage.

Using complex-valued ICA to efficiently combine radar polarimetric data for target detection

Tülay Adali, Mike Novey, T. Adalı, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A new metric to measure shape differences in fMRI activity

Vince D. Calhoun, Nathan D. Cahill, Tülay Adali, 2011, Medical Imaging.

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

Vince D. Calhoun, Ronald Phlypo, Tülay Adali, 2014, NeuroImage.

On ICA of improper and noncircular sources

Tülay Adali, Louis L. Scharf, Peter J. Schreier, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

On ICA of complex-valued fMRI: Advantages and order selection

Wei Xiong, Vince D. Calhoun, Hualiang Li, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia

Vince D. Calhoun, Tülay Adali, Robyn L. Miller, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest

Vince D. Calhoun, Tülay Adali, Wei Du, 2012, NeuroImage.

Quality Map Thresholding for De-noising of Complex-Valued fMRI Data and Its Application to ICA of fMRI

Vince D. Calhoun, Tülay Adali, Pedro A. Rodriguez, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

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

Vince D. Calhoun, Tülay Adali, Tom Eichele, 2010, NeuroImage.

A review of multivariate methods for multimodal fusion of brain imaging data

Vince D. Calhoun, Tülay Adali, Qingbao Yu, 2012, Journal of Neuroscience Methods.

Guest Editorial for Special Issue on Machine Learning for Signal Processing

Jan Larsen, Tülay Adali, Marc M. Van Hulle, 2004, J. VLSI Signal Process..

Guest Editors' Introduction

Tülay Adali, Marc M. Van Hulle, Mahasan Niranjan, 2000, J. VLSI Signal Process..

A Feature-Selective Independent Component Analysis Method for Functional MRI

Vince D. Calhoun, Tülay Adali, Yi-Ou Li, 2007, Int. J. Biomed. Imaging.

The Maximum Likelihood Approach to Complex ICA

Tülay Adali, Jean-François Cardoso, J. Cardoso, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy

Hualiang Li, Andrzej Cichocki, Tülay Adali, 2007, J. VLSI Signal Process..

Nonlinear decision feedback equalization using RCPL network

Xiao Liu, Tülay Adali, Levent Demirekler, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Independent component analysis by complex nonlinearities

Vince D. Calhoun, Tülay Adali, Taehwan Kim, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A maximum likelihood approach for independent vector analysis of Gaussian data sets

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Estimation of common subspace order across multiple datasets: Application to multi-subject fMRI data

Tülay Adali, Suchita Bhinge, Yuri Levin-Schwartz, 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

Segmentation of magnetic resonance brain image: integrating region growing and edge detection

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 1995, Proceedings., International Conference on Image Processing.

Nonorthogonal Independent Vector Analysis Using Multivariate Gaussian Model

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2010, LVA/ICA.

Adaptive Filtering of Visual Evoked Responses in FMRI: Variability of Response

Vince D. Calhoun, Tülay Adali, Godfrey D. Pearlson, 1999, Signal and Image Processing.

Automatic Identification of Functional Clusters in fMRI Data Using Spatial Dependence

Vince D. Calhoun, Tülay Adali, Tom Eichele, 2011, IEEE Transactions on Biomedical Engineering.

Channel equalization with perceptrons: an information-theoretic approach

Tülay Adali, M. Kemal Sönmez, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Complex ICA for fMRI analysis: performance of several approaches

Vince D. Calhoun, Tülay Adali, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy

Vince D. Calhoun, Lars Kai Hansen, Morten Mørup, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bandwidth Extension of Telephony Speech

Simon Haykin, Tülay Adali, S. Haykin, 2010 .

A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences

Yue Joseph Wang, Tülay Adali, Nidhi Gupta, 1998, Int. J. Imaging Syst. Technol..

Complex backpropagation neural network using elementary transcendental activation functions

Tülay Adali, Taehwan Kim, T. Adalı, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Flexible large-scale fMRI analysis: A survey

Vince D. Calhoun, Tülay Adali, Seung-Jun Kim, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Classification of hyperspectral data with ensemble of subspace ICA and edge-preserving filtering

Tülay Adali, Christian Germain, Yannick Berthoumieu, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Polarization diversity and equalization for PMD mitigation in optical communication systems

Tülay Adali, Curtis R. Menyuk, Ivan T. Lima, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Independent vector analysis for SSVEP signal enhancement

François-Benoît Vialatte, Tülay Adali, Gérard Dreyfus, 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia

Vince D. Calhoun, Tülay Adali, Suchita Bhinge, 2019, Front. Neurosci..

Discontinuity-embedded deformable models for surface reconstruction from range images

Yue Wang, Jianhua Xuan, Tülay Adali, 2005, IEEE Signal Processing Letters.

Noncircular Principal Component Analysis and Its Application to Model Selection

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2011, IEEE Transactions on Signal Processing.

On quantifying the effects of noncircularity on the complex fastica algorithm

Tülay Adali, Mike Novey, T. Adalı, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A constrained coefficient ica algorithm for group difference enhancement

Lai Xu, Vince D. Calhoun, Lei Wu, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Vince D. Calhoun, Tülay Adali, Jing Sui, 2011, NeuroImage.

Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety

Tülay Adali, Louis L. Scharf, Peter J. Schreier, 2011, IEEE Transactions on Signal Processing.

NOx and CO Prediction in Fossil Fuel Plants by Time Delay Neural Networks

Tülay Adali, M. Kemal Sönmez, Bora Bakal, 1999, Integr. Comput. Aided Eng..

IVA-Based Spatio-Temporal Dynamic Connectivity Analysis in Large-Scale FMRI Data

Vince D. Calhoun, Tülay Adali, Suchita Bhinge, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Klaus-Robert Müller, Alexander von Lühmann, Tülay Adali, 2019, NeuroImage.

Adaptive feature split selection for co-training: Application to tire irregular wear classification

Ronald Phlypo, Tülay Adali, Wei Du, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Non-orthogonal constrained independent vector analysis: Application to data fusion

Vince D. Calhoun, Tülay Adali, Zois Boukouvalas, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2019, bioRxiv.

Partial likelihood for real-time signal processing

Xiao Liu, Tülay Adali, M. Kemal Sönmez, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Flexible adaptive filtering by minimization of error entropy bound and its application to system identification

Tülay Adali, Xi-Lin Li, T. Adalı, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Guest Editorial: Machine Learning for Signal Processing

Tieniu Tan, Shigeru Katagiri, Jan Larsen, 2014, J. Signal Process. Syst..

Two models for fusion of medical imaging data: Comparison and connections

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A signal processing approach for effective reduction of timing jitter due to the acoustic effect

Bo Wang, Tülay Adali, Alexei N. Pilipetskii, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Power spectra constrained IVA for enhanced detection of SSVEP content

Tülay Adali, Zois Boukouvalas, Darren Emge, 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account

Vince D. Calhoun, Hualiang Li, Tülay Adali, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus

Hualiang Li, Tülay Adali, T. Adalı, 2010, IEEE Transactions on Signal Processing.

Sample dependence correction for order selection in fMRI analysis

Vince D. Calhoun, Tülay Adali, Yi-Ou Li, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Algorithms for Markovian source separation by entropy rate minimization

Ronald Phlypo, Tülay Adali, Matthew Anderson, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Complex-valued Gaussian signal processing: Optimality of MSE, incorporation of full statistics, and a unified view

Tülay Adali, Xi-Lin Li, T. Adalı, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Stability Analysis of Complex-Valued Nonlinearities for Maximization of Nongaussianity

Tülay Adali, Mike Novey, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2015, Proceedings of the IEEE.

ICA and IVA: Theory, connections, and applications to medical imaging

Tülay Adali, Matthew Anderson, Gengshen Fu, 2014, IWSSIP 2014 Proceedings.

Canonical Correlation Analysis for Data Fusion and Group Inferences

Vince D. Calhoun, Tülay Adali, Nicolle M. Correa, 2010, IEEE Signal Processing Magazine.

C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data

Vince D. Calhoun, Tülay Adali, Chunying Jia, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Kernel-based tensor partial least squares for reconstruction of limb movements

Liqing Zhang, Andrzej Cichocki, Tülay Adali, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A class of adaptive algorithms based on ML for non-Gaussian linear filtering

Hualiang Li, Tülay Adali, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework

Tülay Adali, Jing Sui, Godfrey D Pearlson, 2009, Human brain mapping.

Gradient artifact removal in concurrently acquired EEG data using independent vector analysis

Vince D. Calhoun, Lei Wu, Ronald Phlypo, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Testing the Extent of Noncircularity

Tülay Adali, Esa Ollila, Mike Novey, 2011, IEEE Transactions on Signal Processing.

Probabilistic neural networks for medical image quantification

Yue Joseph Wang, Tülay Adali, 1994, Proceedings of 1st International Conference on Image Processing.

Time-varying frequency modes of resting fMRI brain networks reveal significant gender differences

Vince D. Calhoun, Tülay Adali, Robyn L. Miller, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Likelihood Estimators for Dependent Samples and Their Application to Order Detection

Tülay Adali, Matthew Anderson, Gengshen Fu, 2014, IEEE Transactions on Signal Processing.

Constrained Source-Based Morphometry Identifies Structural Networks Associated with Default Mode Network

Rex E. Jung, Lai Xu, Vince D. Calhoun, 2012, Brain Connect..

Joint blind source separation by generalized joint diagonalization of cumulant matrices

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2011, Signal Process..

Subspace Partitioning for Target Detection and Identification

Tülay Adali, Wei Wang, Darren Emge, 2009, IEEE Transactions on Signal Processing.

Entropy rate estimation for vector processes: Application to complex FMRI analysis

Tülay Adali, Wei Du, Gengshen Fu, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Multimodal Data Fusion Using Source Separation: Application to Medical Imaging

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2015, Proceedings of the IEEE.

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

Andrzej Cichocki, Shengli Xie, Tülay Adali, 2015, Proceedings of the IEEE.

Magnetic resonance image reconstruction from non-equidistantly sampled data

Ning Li, Tülay Adali, Moriel NessAiver, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Independent vector analysis by entropy rate bound minimization

Tülay Adali, Matthew Anderson, Gengshen Fu, 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

Christian Jutten, Tülay Adali, Dana Lahat, 2015, Proceedings of the IEEE.

A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation

Tülay Adali, Yannick Berthoumieu, Salem Said, 2015, IEEE Signal Processing Letters.

Multidataset independent subspace analysis extends independent vector analysis

Vince D. Calhoun, Sergey M. Plis, Rogers F. Silva, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

ICA and IVA for Data Fusion: An Overview and a New Approach Based on Disjoint Subspaces

Vince D. Calhoun, Tülay Adali, M. A. B. S. Akhonda, 2019, IEEE Sensors Letters.

Independent component analysis of complex-valued functional magnetic resonance imaging data by complex nonlinearities

Vince D. Calhoun, Tülay Adali, Yi-Ou Li, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Canonical piecewise linear network for nonlinear filtering and its application to blind equalization

Xiao Liu, Tülay Adali, T. Adalı, 1997, Signal Process..

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

Hao He, Bryon A. Mueller, Vince D. Calhoun, 2013, NeuroImage.

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

Vince D. Calhoun, Marios S. Pattichis, Sergey M. Plis, 2019, IEEE Transactions on Image Processing.

Automatic Bayesian Classification of Healthy Controls, Bipolar Disorder, and Schizophrenia Using Intrinsic Connectivity Maps From fMRI Data

Vince D. Calhoun, Tülay Adali, Juan Ignacio Arribas, 2010, IEEE Transactions on Biomedical Engineering.

Universal approximation of fully complex feed-forward neural networks

Tülay Adali, Taehwan Kim, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

Vince D. Calhoun, Tülay Adali, Peter J. Schreier, 2016, NeuroImage.

Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis

Tülay Adali, Zois Boukouvalas, Yuri Levin-Schwartz, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Independent vector analysis, the Kotz distribution, and performance bounds

Ronald Phlypo, Tülay Adali, Matthew Anderson, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

On complex infomax applied to functional MRI data

Vince D. Calhoun, Tülay Adali, Godfrey D. Pearlson, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Channel equalization using partial likelihood estimation and recurrent canonical piecewise linear network

Xiao Liu, Tülay Adali, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Complex ICA by Negentropy Maximization

Tülay Adali, Mike Novey, T. Adalı, 2008, IEEE Transactions on Neural Networks.

Quantification and segmentation of brain tissues from MR images: a probabilistic neural network approach

Sun-Yuan Kung, Yue Joseph Wang, Tülay Adali, 1998, IEEE Trans. Image Process..

Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis

Vince D. Calhoun, Tülay Adali, Zois Boukouvalas, 2017, J. Frankl. Inst..

Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 2006, Int. J. Biomed. Imaging.

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

Vince D. Calhoun, Tülay Adali, Jing Sui, 2010, NeuroImage.

A general formulation for learning multi-class posterior probabilities

Bo Wang, Tülay Adali, Hongmei Ni, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis

Tülay Adali, Chunying Jia, Zois Boukouvalas, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Order Selection of the Linear Mixing Model for Complex-Valued FMRI Data

Wei Xiong, Vince D. Calhoun, Tülay Adali, 2010, Journal of Signal Processing Systems.

Noncircular Complex ICA by Generalized Householder Reflections

Tülay Adali, Xi-Lin Li, 2013, IEEE Transactions on Signal Processing.

A General Approach for Robustification of ICA Algorithms

Tülay Adali, Matthew Anderson, 2010, LVA/ICA.

Approximation by Fully Complex Multilayer Perceptrons

Tülay Adali, Taehwan Kim, T. Adalı, 2003, Neural Computation.

A two-level ICA approach reveals important differences in the female brain response to thermal pain

Tülay Adali, Xiaowei Song, Suchita Bhinge, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

A novel approach for assessing reliability of ICA for FMRI analysis

Vince D. Calhoun, Tülay Adali, Wei Du, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Complex-Valued Linear and Widely Linear Filtering Using MSE and Gaussian Entropy

Tülay Adali, Xi-Lin Li, T. Adalı, 2012, IEEE Transactions on Signal Processing.

A discontinuity-embedded deformable model for surface modeling

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 2004, Circuits, Signals, and Systems.

Complex Independent Component Analysis Using Three Types of Diversity: Non-Gaussianity, Nonwhiteness, and Noncircularity

Ronald Phlypo, Tülay Adali, Matthew Anderson, 2015, IEEE Transactions on Signal Processing.

Applications of Neural Networks to Biomedical Image Processing

Yue Wang, Tülay Adali, Huai Li, 2018 .

Optimization and Estimation of Complex-Valued Signals: Theory and applications in filtering and blind source separation

Tülay Adali, Peter J. Schreier, T. Adalı, 2014, IEEE Signal Processing Magazine.

Independent Vector Analysis for Gradient Artifact Removal in Concurrent EEG-fMRI Data

Vince D. Calhoun, Lei Wu, Ronald Phlypo, 2015, IEEE Transactions on Biomedical Engineering.

Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia

Vince D. Calhoun, Tülay Adali, Nicolle M. Correa, 2008, IEEE Journal of Selected Topics in Signal Processing.

Multimodal Data Fusion [Scanning the Issue]

Lars Kai Hansen, Christian Jutten, Tülay Adali, 2015, Proc. IEEE.

Complex Fixed-Point ICA Algorithm for Separation of QAM Sources using Gaussian Mixture Model

Tülay Adali, Mike Novey, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks

Bo Wang, Tülay Adali, Jesús Cid-Sueiro, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization

Tülay Adali, Zois Boukouvalas, Yuri Levin-Schwartz, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups

Vince D. Calhoun, Tülay Adali, Tom Eichele, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Joint Blind Source Separation by Multiset Canonical Correlation Analysis

Vince D. Calhoun, Tülay Adali, Wei Wang, 2009, IEEE Transactions on Signal Processing.

Complex Infomax: Convergence and Approximation of Infomax with Complex Nonlinearities

Vince D. Calhoun, Tülay Adali, V. Calhoun, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Parameter-free automated extraction of neuronal signals from calcium imaging data

Tülay Adali, Yuri Levin-Schwartz, Dennis R. Sparta, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Estimation Techniques for ComplexValued Random Vectors

Simon Haykin, Tülay Adali, 2010 .

On the effect of input signal correlation on weight misadjustment in the RLS algorithm

Tülay Adali, Sasan H. Ardalan, 1995, IEEE Trans. Signal Process..

Changes in fMRI magnitude data and phase data observed in block-design and event-related tasks

Vince D. Calhoun, Tülay Adali, Kent A. Kiehl, 2010, NeuroImage.

Applications of Graph Theory

Antonio Ortega, Tülay Adali, 2018, Proc. IEEE.

Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2016, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria

Vince D. Calhoun, Tülay Adali, Xi-Lin Li, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

Vince D. Calhoun, Tülay Adali, Pedro A. Rodriguez, 2012, Pattern Recognit..

A deformable surface-spine model for 3-D surface registration

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 1997, Proceedings of International Conference on Image Processing.

Complex Infomax: Convergence and Approximation of Infomax with Complex Nonlinearities

Vince D. Calhoun, Tülay Adali, 2006, J. VLSI Signal Process..

Blind Source Separation by Entropy Rate Minimization

Ronald Phlypo, Tülay Adali, Matthew Anderson, 2014, IEEE Transactions on Signal Processing.

On Extending the Complex FastICA Algorithm to Noncircular Sources

Tülay Adali, Mike Novey, T. Adalı, 2008, IEEE Transactions on Signal Processing.

IVA and ICA: Use of diversity in independent decompositions

Tülay Adali, Matthew Anderson, Gengshen Fu, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Feature-selective ICA and its convergence properties

Vince D. Calhoun, Tülay Adali, Yi-Ou Li, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Performance of complex-valued ICA algorithms for fMRI analysis: Importance of taking full diversity into account

Vince D. Calhoun, Tülay Adali, Wei Du, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Fully Complex Multi-Layer Perceptron Network for Nonlinear Signal Processing

Tülay Adali, Taehwan Kim, T. Adalı, 2002, J. VLSI Signal Process..

On the dynamics of the LRE algorithm: a distribution learning approach to adaptive equalization

Tülay Adali, Kartik Patel, M. Kemal Sönmez, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures

Sun-Yuan Kung, Yue Joseph Wang, Tülay Adali, 1998, J. VLSI Signal Process..

Data-driven fusion of multi-camera video sequences: Application to abandoned object detection

Tülay Adali, Suchita Bhinge, Yuri Levin-Schwartz, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Inexact Proximal Conjugate Subgradient Algorithm for fMRI Data Completion

Tülay Adali, Qunfang Long, Irina Belyaeva, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Order detection for dependent samples using entropy rate

Hualiang Li, Tülay Adali, Matthew Anderson, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Applications of Neural Networks to Biomedical Image Processing

Huai Li, Yue Wang, Tülay Adali, 2001 .

Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion*

Tülay Adali, Zhongqiang Luo, Suchita Bhinge, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning

Tülay Adali, Seung-Jun Kim, Mohammad A. B. S. Akhonda, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Data Fusion for Modern Engineering Applications: An Overview

Anthony G. Constantinides, Danilo P. Mandic, Tülay Adali, 2005, ICANN.

Examining associations between FMRI and EEG data using canonical correlation analysis

Vince D. Calhoun, Tülay Adali, Nicolle M. Correa, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

An efficient multivariate generalized Gaussian distribution estimator: Application to IVA

Tülay Adali, Zois Boukouvalas, Gengshen Fu, 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

CCA for joint blind source separation of multiple datasets with application to group FMRI analysis

Vince D. Calhoun, Tülay Adali, Wei Wang, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Adaptive Feature Selection and Feature Fusion for Semi-supervised Classification

Ronald Phlypo, Tülay Adali, Wei Du, 2019, J. Signal Process. Syst..

Complex-valued analysis and visualization of fMRI data for event-related and block-design paradigms

Vince D. Calhoun, Tülay Adali, Pedro A. Rodriguez, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Phase correction and denoising for ICA of complex FMRI data

Vince D. Calhoun, Hualiang Li, Tülay Adali, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data

Vince D. Calhoun, Tülay Adali, Suchita Bhinge, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

A data-driven solution for abandoned object detection: Advantages of multiple types of diversity

Tülay Adali, Béatrice Pesquet-Popescu, Suchita Bhinge, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Independent Vector Analysis: Identification Conditions and Performance Bounds

Ronald Phlypo, Tülay Adali, Matthew Anderson, 2013, IEEE Transactions on Signal Processing.

Capturing subject variability in data driven fMRI analysis: A graph theoretical comparison

Tülay Adali, Sai Ma, Jonathan Laney, 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

Performance Bounds for Complex-Valued Independent Vector Analysis

Tülay Adali, Zbynek Koldovský, Petr Tichavský, 2020, IEEE Transactions on Signal Processing.

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

Vince D. Calhoun, Tülay Adali, Jingyu Liu, 2009, NeuroImage.

Probability distribution estimation for an integrated coding and equalization scheme in optical communications systems

Tülay Adali, Yi Cai, Wenze Xi, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Partial likelihood for online order selection

Tülay Adali, Hongmei Ni, 2005, Signal Process..

A General Probabilistic Formulation for Supervised Neural Classifiers

Xiao Liu, Bo Wang, Tülay Adali, 2000, J. VLSI Signal Process..

Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps

Rui Jin, Tülay Adali, Seung-Jun Kim, 2020, IEEE Journal of Selected Topics in Signal Processing.

DSP and communication engineering education with graphical block diagram simulation tools

Tülay Adali, Sasan H. Ardalan, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2012, IEEE Transactions on Signal Processing.

Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2015, LVA/ICA.

Flexible complex ICA of fMRI data

Vince D. Calhoun, Hualiang Li, Tülay Adali, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Joint blind source separation from second-order statistics: Necessary and sufficient identifiability conditions

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Complex-valued independent vector analysis: Application to multivariate Gaussian model

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2012, Signal Process..

A Class of Adaptive Algorithms Based on Entropy Estimation Achieving CRLB for Linear Non-Gaussian Filtering

Hualiang Li, Tülay Adali, Matthew Anderson, 2012, IEEE Transactions on Signal Processing.

Analysis of a stabilization technique for the fixed-point prewindowed RLS algorithm

Tülay Adali, Sasan H. Ardalan, 1991, IEEE Trans. Signal Process..

Magnetic resonance image analysis by information theoretic criteria and stochastic site models

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 2001, IEEE Transactions on Information Technology in Biomedicine.

Unbiased Recursive Least-Squares Estimation Utilizing Dichotomous Coordinate-Descent Iterations

Tülay Adali, Kutluyil Dogançay, Reza Arablouei, 2014, IEEE Transactions on Signal Processing.

Independent Component Analysis by Entropy Bound Minimization

Tülay Adali, Xi-Lin Li, T. Adalı, 2010, IEEE Transactions on Signal Processing.

Complex Independent Component Analysis by Entropy Bound Minimization

Tülay Adali, Xi-Lin Li, T. Adalı, 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

A Practical Formulation for Computation of Complex Gradients and its Application to Maximum Likelihood ICA

Hualiang Li, Tülay Adali, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis

Vince D. Calhoun, Tülay Adali, Nicolle M. Correa, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Density estimation by entropy maximization with kernels

Tülay Adali, Zois Boukouvalas, Gengshen Fu, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On-line order selection for communications

Tülay Adali, Hongmei Ni, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function

Hualiang Li, Tülay Adali, T. Adalı, 2008, IEEE Transactions on Neural Networks.

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]

Sergios Theodoridis, Klaus-Robert Müller, Kenji Fukumizu, 2013, IEEE Signal Process. Mag..

Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls

Lai Xu, Vince D. Calhoun, Tülay Adali, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Capturing group variability using IVA: A simulation study and graph-theoretical analysis

Vince D. Calhoun, Ronald Phlypo, Tülay Adali, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A graph theoretical approach for performance comparison of ICA for fMRI analysis

Vince D. Calhoun, Tülay Adali, Suchita Bhinge, 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

Stability analysis of complex maximum likelihood ica using Wirtinger calculus

Hualiang Li, Tülay Adali, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Electronic equalization in optical fiber communications

Tülay Adali, Wei Wang, Aurenice O. Lima, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A Novel Approach for Target Detection and Classification Using Canonical Correlation Analysis

Tülay Adali, Wei Wang, Darren Emge, 2012, J. Signal Process. Syst..

Recurrent canonical piecewise linear network for blind equalization

Xiao Liu, Tülay Adali, T. Adalı, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

On Entropy Rate for the Complex Domain and Its Application to i.i.d. Sampling

Wei Xiong, Vince D. Calhoun, Hualiang Li, 2010, IEEE Transactions on Signal Processing.

The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails

Vince D. Calhoun, Lars Kai Hansen, Tülay Adali, 2018, Proc. IEEE.

On properties of the widely linear MSE filter and its LMS implementation

Hualiang Li, Tülay Adali, Ronald Aloysius, 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

Wavelet-based denoising and independent component analysis for improving multi-group inference in fMRI data

Vince D. Calhoun, Tülay Adali, Stefi A. Baum, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Blind spatiotemporal separation of second and/or higher-order correlated sources by entropy rate minimization

Tülay Adali, Xi-Lin Li, T. Adalı, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unbiased RLS identification of errors-in-variables models in the presence of correlated noise

Tülay Adali, Kutluyil Dogançay, Reza Arablouei, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia

Hao He, Vince D. Calhoun, Tülay Adali, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

IVA for abandoned object detection: Exploiting dependence across color channels

Tülay Adali, Zois Boukouvalas, Suchita Bhinge, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Information geometry of maximum partial likelihood estimation for channel equalization

Xiao Liu, Jianhua Xuan, Tülay Adali, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

General Nonunitary Constrained ICA and its Application to Complex-Valued fMRI Data

Vince D. Calhoun, Tülay Adali, Pedro A. Rodriguez, 2015, IEEE Transactions on Biomedical Engineering.

Challenges in multimodal data fusion

Christian Jutten, Tülay Adali, Dana Lahat, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Impact of autocorrelation on functional connectivity

Vince D. Calhoun, Daniel H. Mathalon, Adrian Preda, 2014, NeuroImage.

Surface reconstruction and visualization of the surgical prostate model

Jianhua Xuan, Yue Joseph Wang, Tülay Adali, 1997, Medical Imaging.

Target detection and identification using canonical correlation analysis and subspace partitioning

Tülay Adali, Wei Wang, Darren Emge, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Introduction to the Issue on fMRI Analysis for Human Brain Mapping

Vince D. Calhoun, Martin J. McKeown, Z. Jane Wang, 2008, IEEE J. Sel. Top. Signal Process..

Independent subspace analysis with prior information for fMRI data

Vince D. Calhoun, Tülay Adali, Xi-Lin Li, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Neural networks to estimate ML multi-class constrained conditional probability density functions

Tülay Adali, Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A piecewise linear recurrent neural network structure and its dynamics

Xiao Liu, Tülay Adali, Levent Demirekler, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Guest Editors' Introduction

Jan Larsen, Tülay Adali, Marc M. Van Hulle, 2002, J. VLSI Signal Process..

Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis

Vince D. Calhoun, Tülay Adali, Tom Eichele, 2009, NeuroImage.

Circularity and Gaussianity Detection Using the Complex Generalized Gaussian Distribution

Tülay Adali, Anindya Roy, Mike Novey, 2009, IEEE Signal Processing Letters.

A MAP equalizer for the optical communications channel

Tülay Adali, John Zweck, Wenze Xi, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Estimating the number of independent components for functional magnetic resonance imaging data

Tülay Adali, Yi-Ou Li, Vince D Calhoun, 2007, Human brain mapping.

An effective decoupling method for matrix optimization and its application to the ICA problem

Tülay Adali, Pedro A. Rodriguez, Matthew Anderson, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fusion of Multisubject Hemodynamic and Event-Related Potential Data Using Independent Component Analysis

Vince D. Calhoun, Tülay Adali, V. Calhoun, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Complex ICA Using Nonlinear Functions

Hualiang Li, Tülay Adali, Mike Novey, 2008, IEEE Transactions on Signal Processing.

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

Vince D. Calhoun, Tülay Adali, Stefi A. Baum, 2011, NeuroImage.

On the characterization, generation, and efficient estimation of the complex multivariate GGD

Tülay Adali, Zois Boukouvalas, Charles Casimiro Cavalcante, 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks

Vince D. Calhoun, Sergey M. Plis, Tülay Adali, 2014, NeuroImage.

Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data

Vince D. Calhoun, Tülay Adali, Suchita Bhinge, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data-driven fusion of EEG, functional and structural MRI: A comparison of two models

Vince D. Calhoun, Tülay Adali, Yuri Levin-Schwartz, 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

Partial likelihood for signal processing

Tülay Adali, Hongmei Ni, T. Adalı, 2003, IEEE Trans. Signal Process..

Fusion of concurrent single trial EEG data and fMRI data using multi-set canonical correlation analysis

Vince D. Calhoun, Tülay Adali, Tom Eichele, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications

Vince D. Calhoun, Dimitri Van De Ville, Martin J. McKeown, 2013, IEEE Trans. Multim..

General Non-Orthogonal Constrained ICA

Tülay Adali, Pedro A. Rodriguez, Matthew Anderson, 2014, IEEE Transactions on Signal Processing.

Eigenanalysis of autocorrelation matrices in the presence of noncentral and signal-dependent noise

Tülay Adali, Wei Wang, 2005, IEEE Signal Processing Letters.

Time-domain equalizer design for discrete multitone systems

Bo Wang, Tülay Adali, 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results

Vince D. Calhoun, Tülay Adali, Godfrey D. Pearlson, 2004, J. VLSI Signal Process..

Guest Editor's Introduction

Tülay Adali, 1998, J. VLSI Signal Process..

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data

Liqing Zhang, Andrzej Cichocki, Tülay Adali, 2013, IEEE Signal Processing Magazine.

Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT

Vince D. Calhoun, Tülay Adali, Nicolle M. Correa, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

An efficient entropy rate estimator for complex-valued signal processing: Application to ICA

Ronald Phlypo, Tülay Adali, Matthew Anderson, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A relative gradient algorithm for joint decompositions of complex matrices

Tülay Adali, Eric Moreau, Tual Trainini, 2010, 2010 18th European Signal Processing Conference.

Second and Higher-Order Correlation Analysis of Multiple Multidimensional Variables by Joint Diagonalization

Tülay Adali, Matthew Anderson, Xi-Lin Li, 2010, LVA/ICA.

A likelihood framework for nonlinear signal processing with finite normal mixtures

Xiao Liu, Bo Wang, Jianhua Xuan, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Trends in Machine Learning for Signal Processing [In the Spotlight]

Jan Larsen, Tülay Adali, Konstantinos I. Diamantaras, 2011, IEEE Signal Process. Mag..

Improved 3D wavelet-based de-noising of fMRI data

Vince D. Calhoun, Tülay Adali, Stefi A. Baum, 2011, Medical Imaging.

An adaptive phase equalizer for reducing timing jitter due to acoustic effect

Tülay Adali, Yi Cai, Qigong Zheng, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A weighted frequency-domain least squares approach for equalization in discrete multitone systems

Bo Wang, Tülay Adali, 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

Detection using correlation bound in a linear mixture model

Tülay Adali, Wei Wang, T. Adalı, 2007, Signal Process..

2011 Ieee International Workshop on Machine Learning for Signal Processing Iva for Multi-subject Fmri Analysis: a Comparative Study Using a New Simulation Toolbox

Vince D. Calhoun, Tülay Adali, Matthew Anderson, 2022 .

Neuronal chronometry of target detection: Fusion of hemodynamic and event-related potential data

Vince D. Calhoun, Tülay Adali, Kent A. Kiehl, 2005, NeuroImage.

Feature-Based Fusion of Medical Imaging Data

Vince D. Calhoun, Tülay Adali, V. Calhoun, 2009, IEEE Transactions on Information Technology in Biomedicine.

A Complex Generalized Gaussian Distribution— Characterization, Generation, and Estimation

Tülay Adali, Anindya Roy, Mike Novey, 2010, IEEE Transactions on Signal Processing.

Conditional distribution learning with neural networks and its application to channel equalization

Xiao Liu, Tülay Adali, M. Kemal Sönmez, 1997, IEEE Trans. Signal Process..

Efficient learning of standard finite normal mixtures for image quantification

Yue Wang, Tülay Adali, T. Adalı, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

A frequency-domain training approach for equalization and noise suppression in discrete multitone systems

Bo Wang, Tülay Adali, 2004, Signal Process..

Comparison of multi‐subject ICA methods for analysis of fMRI data

Tülay Adali, Erik B. Erhardt, Srinivas Rachakonda, 2010, Human brain mapping.

Application of Independent Component Analysis With Adaptive Density Model to Complex-Valued fMRI Data

Vince D. Calhoun, Hualiang Li, Tülay Adali, 2011, IEEE Transactions on Biomedical Engineering.

Blind Separation of Noncircular Correlated Sources Using Gaussian Entropy Rate

Tülay Adali, Xi-Lin Li, T. Adalı, 2011, IEEE Transactions on Signal Processing.

Modeling nuclear reactor core dynamics with recurrent neural networks

Tülay Adali, M. Kemal Sönmez, Bora Bakal, 1997, Neurocomputing.

Integrated MAP equalization and turbo product coding for optical fiber communications systems

Tülay Adali, Wenze Xi, T. Adalı, 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

Spectral–Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy

Tülay Adali, Christian Germain, Yannick Berthoumieu, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]

Nitish V. Thakor, Dario Farina, Konstantinos N. Plataniotis, 2021, IEEE Signal Process. Mag..

Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization

Tülay Adali, Zois Boukouvalas, Charles C. Cavalcante, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19

Sudip Mittal, Tülay Adali, Nathalie Japkowicz, 2021, DS.

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm

Tülay Adali, Zois Boukouvalas, Mohammad A. B. S. Akhonda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Independent component analysis of 2‐D electrophoresis gels

Tülay Adali, Anindya Roy, Françoise Seillier-Moiseiwitsch, 2008, Electrophoresis.

Nonlinear Sequential State Estimation for Solving PatternClassification Problems

Simon Haykin, Tülay Adali, 2010 .