A cost function for learning feedforward neural networks subject to noisy inputs. - Abd-Krim Seghouane; Gilles Fleury (ISSPA, 2001)

On learning feedforward neural networks with noise injection into inputs. - Abd-Krim Seghouane; Yassir Moudden; Gilles Fleury (NNSP, 2002)

Extraction of peak pressure position information from the spark-plug ionization signal. - Yassir Moudden; Abd-Krim Seghouane; Olivier Boubal (Comput. Stand. Interfaces, 2002)

A small sample model selection criterion based on Kullback's symmetric divergence. - Abd-Krim Seghouane; Maïza Bekara; Gilles Fleury (ICASSP (6), 2003)

Regularizing the effect of input noise injection in feedforward neural networks training. - Abd-Krim Seghouane; Yassir Moudden; Gilles Fleury (Neural Comput. Appl., 2004)

A small sample model selection criterion based on Kullback's symmetric divergence. - Abd-Krim Seghouane; Maïza Bekara (IEEE Trans. Signal Process., 2004)

A criterion for vector autoregressive model selection based on Kullback's symmetric divergence. - Abd-Krim Seghouane (ICASSP (4), 2005)

Multivariate regression model selection with KIC for extrapolation cases. - Abd-Krim Seghouane (IJCNN, 2005)

A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence. - Abd-Krim Seghouane; Maïza Bekara; Gilles Fleury (Signal Process., 2005)

Local Convergence Properties of Fastica and Some Generalisations. - Knut Hüper; Hao Shen 002; Abd-Krim Seghouane (ICASSP (5), 2006)

A model selection approach to signal denoising using Kullback's symmetric divergence. - Maïza Bekara; Luc Knockaert; Abd-Krim Seghouane; Gilles Fleury (Signal Process., 2006)

Multivariate regression model selection from small samples using Kullback's symmetric divergence. - Abd-Krim Seghouane (Signal Process., 2006)

A note on overfitting properties of KIC and KICc. - Abd-Krim Seghouane (Signal Process., 2006)

Vector Autoregressive Model-Order Selection From Finite Samples Using Kullback's Symmetric Divergence. - Abd-Krim Seghouane (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

A corrected version of KIC for robust model selection in small samples. - Abd-Krim Seghouane (ISSPA, 2007)

Bayesian estimation of the number of principal components. - Abd-Krim Seghouane; Andrzej Cichocki (Signal Process., 2007)

The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence. - Abd-Krim Seghouane; Shun-ichi Amari (IEEE Trans. Neural Networks, 2007)

Mean Shape Models for Polyp Detection in CT Colonography. - Ju Lynn Ong; Abd-Krim Seghouane; Kevin Osborn (DICTA, 2008)

Polyp detection in CT colonography based on shape characteristics and Kullback-Leibler divergence. - Ju Lynn Ong; Abd-Krim Seghouane; Kevin Osborn (ISBI, 2008)

A Note on Image Restoration Using and MSE. - Abd-Krim Seghouane (IEEE Signal Process. Lett., 2008)

On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays. - Martin Kleinsteuber; Abd-Krim Seghouane (IEEE Trans. Signal Process., 2008)

False Positive Reduction in CT Colonography Using Spectral Compression and Curvature Tensor Smoothing of Surface Geometry. - Ju Lynn Ong; Abd-Krim Seghouane (ISBI, 2009)

Model Selection Criteria for Image Restoration. - Abd-Krim Seghouane (IEEE Trans. Neural Networks, 2009)

Maximum likelihood blind image restoration via alternating minimization. - Abd-Krim Seghouane (ICIP, 2010)

Geodesic-ring based curvature maps for polyp detection in CT colonography. - Abd-Krim Seghouane; Ju Lynn Ong (ICIP, 2010)

Efficient feature selection for polyp detection. - Abd-Krim Seghouane; Ju Lynn Ong (ICIP, 2010)

A Bayesian model selection approach to fMRI activation detection. - Abd-Krim Seghouane; Ju Lynn Ong (ICIP, 2010)

Asymptotic bootstrap corrections of AIC for linear regression models. - Abd-Krim Seghouane (Signal Process., 2010)

Quantifying information flowin fMRI using the Kullbakc-Leibler divergence. - Abd-Krim Seghouane (ISBI, 2011)

Feature selection using mutual information in CT colonography. - Ju Lynn Ong; Abd-Krim Seghouane (Pattern Recognit. Lett., 2011)

New AIC Corrected Variants for Multivariate Linear Regression Model Selection. - Abd-Krim Seghouane (IEEE Trans. Aerosp. Electron. Syst., 2011)

A Kullback-Leibler Methodology for Unconditional ML DOA Estimation in Unknown Nonuniform Noise. - Abd-Krim Seghouane (IEEE Trans. Aerosp. Electron. Syst., 2011)

From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods. - Ju Lynn Ong; Abd-Krim Seghouane (IEEE Trans. Image Process., 2011)

A Kullback-Leibler Divergence Approach to Blind Image Restoration. - Abd-Krim Seghouane (IEEE Trans. Image Process., 2011)

Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain. - Muhammad Hanif 001; Abd-Krim Seghouane (DICTA, 2012)

Adaptive 2DCCA Based Approach for Improving Spatial Specificity of Activation Detection in Functional MRI. - Muhammad Usman Khalid; Adnan Shah; Abd-Krim Seghouane (DICTA, 2012)

Functional brain connectivity as revealed by singular spectrum analysis. - Abd-Krim Seghouane; Adnan Shah (EMBC, 2012)

Comparing causality measures of fMRI data using PCA, CCA and vector autoregressive modelling. - Adnan Shah; Muhammad Usman Khalid; Abd-Krim Seghouane (EMBC, 2012)

A Kullback-Leibler divergence approach for wavelet-based blind image deconvolution. - Abd-Krim Seghouane; Muhammad Hanif 001 (MLSP, 2012)

Hierarchical sparse brain network estimation. - Abd-Krim Seghouane; Muhammad Usman Khalid (MLSP, 2012)

FMRI activation detection using a variant of Akaike information criterion. - Abd-Krim Seghouane (SSP, 2012)

Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity. - Abd-Krim Seghouane; Shun-ichi Amari (Neural Comput., 2012)

HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative Minimization of the Kullback-Leibler Divergence. - Abd-Krim Seghouane; Adnan Shah (IEEE Trans. Medical Imaging, 2012)

Consistent estimation of the hemodynamic response function in fNIRS. - Adnan Shah; Abd-Krim Seghouane (ICASSP, 2013)

An EM-based hybrid Fourier-wavelet image deconvolution algorithm. - Muhammad Hanif 001; Abd-Krim Seghouane (ICIP, 2013)

Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis. - Muhammad Usman Khalid; Abd-Krim Seghouane (ISBI, 2013)

Consistent hemodynamic response function estimation in functional MRI by first order differencing. - Abd-Krim Seghouane; Adnan Shah (ISBI, 2013)

Estimation of hemodynamic response functions for un-delineated overlapping rois in fMRI data based on sparse dictionary learning. - Adnan Shah; Abd-Krim Seghouane (ISBI, 2013)

Model-free optimal de-drifting and enhanced detection in fMRI data. - Adnan Shah; Abd-Krim Seghouane (MLSP, 2013)

Sparse estimation of the hemodynamic response functionin functional near infrared spectroscopy. - Abd-Krim Seghouane; Adnan Shah (ICASSP, 2014)

Blind image deblurring using non-negative sparse approximation. - Muhammad Hanif 001; Abd-Krim Seghouane (ICIP, 2014)

An effective image restoration using Kullback-Leibler divergence minimization. - Muhammad Hanif 001; Abd-Krim Seghouane (ICIP, 2014)

Constrained maximum likelihood based efficient dictionary learning for fMRI analysis. - Muhammad Usman Khalid; Abd-Krim Seghouane (ISBI, 2014)

Consistent hemodynamic response estimation function in fMRI using sparse prior information. - Abd-Krim Seghouane; Leigh A. Johnston (ISBI, 2014)

Maximum likelihood orthogonaldictionary learning. - Muhammad Hanif 001; Abd-Krim Seghouane (SSP, 2014)

A single SVD sparse dictionary learning algorithm for FMRI data analysis. - Muhammad Usman Khalid; Abd-Krim Seghouane (SSP, 2014)

A model-free approachto increasing the effect size of FNIRS data. - Adnan Shah; Abd-Krim Seghouane (SSP, 2014)

Estimation of high-dimensional brain connectivity from FMRI data using factor modeling. - Chee-Ming Ting; Abd-Krim Seghouane; Sheikh Hussain Shaikh Salleh; A. B. Mohd Noor (SSP, 2014)

Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition. - Abd-Krim Seghouane; Yousef Saad (Neural Comput., 2014)

An Integrated Framework for Joint HRF and Drift Estimation and HbO/HbR Signal Improvement in fNIRS Data. - Adnan Shah; Abd-Krim Seghouane (IEEE Trans. Medical Imaging, 2014)

Non-Local Noise Estimation for Adaptive Image Denoising. - Muhammad Hanif 001; Abd-Krim Seghouane (DICTA, 2015)

Sparse dictionary learning for fMRI analysis using autocorrelation maximization. - Muhammad Usman Khalid; Adnan Shah; Abd-Krim Seghouane (EMBC, 2015)

Recovering HRFs from overlapping ROIs in fMRI data using thresholding correlations for sparse dictionary learning. - Adnan Shah; Muhammad Usman Khalid; Abd-Krim Seghouane (EMBC, 2015)

Unsupervised detrending technique using sparse dictionary learning for fMRI preprocessing and analysis. - Muhammad Usman Khalid; Abd-Krim Seghouane (ICASSP, 2015)

A sequential dictionary learning algorithm with enforced sparsity. - Abd-Krim Seghouane; Muhammad Hanif 001 (ICASSP, 2015)

Multi-subject fMRI connectivity analysis using sparse dictionary learning and multiset canonical correlation analysis. - Muhammad Usman Khalid; Abd-Krim Seghouane (ISBI, 2015)

Consistent estimation of the FMRI hemodynamic response function in AR(1) noise. - Abd-Krim Seghouane; Adnan Shah (ISBI, 2015)

Is First-Order Vector Autoregressive Model Optimal for fMRI Data? - Chee-Ming Ting; Abd-Krim Seghouane; Muhammad Usman Khalid; Sh-Hussain Salleh (Neural Comput., 2015)

Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models. - Chee-Ming Ting; Abd-Krim Seghouane; Sheikh Hussain Shaikh Salleh; A. B. Mohd Noor (IEEE Signal Process. Lett., 2015)

Sparse canonical correlation analysis based on rank-1 matrix approximation and its application for FMRI signals. - Abdeldjalil Aïssa-El-Bey; Abd-Krim Seghouane (ICASSP, 2016)

Learning dictionaries from correlated data: Application to fMRI data analysis. - Abd-Krim Seghouane; Muhammad Usman Khalid (ICIP, 2016)

Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models. - Chee-Ming Ting; Abd-Krim Seghouane; Sh-Hussain Salleh (SSP, 2016)

An Approach for Sequential Dictionary Learning in Nonuniform Noise. - Asif Iqbal 007; Abd-Krim Seghouane (DICTA, 2017)

BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets. - Abd-Krim Seghouane; Asif Iqbal 007; Nandakishor Desai (ICASSP, 2017)

CSMSDL: A common sequential dictionary learning algorithm for multi-subject FMRI data sets analysis. - Abd-Krim Seghouane; Asif Iqbal 007 (ICIP, 2017)

Multisubject fMRI data analysis via two dimensional multi-set canonical correlation analysis. - Nandakishor Desai; Abd-Krim Seghouane; Marimuthu Palaniswami (ISBI, 2017)

A regularized sequential dictionary learning algorithm for fmri data analysis. - Abd-Krim Seghouane; Asif Iqbal 007 (MLSP, 2017)

fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift. - Abd-Krim Seghouane; Adnan Shah; Chee-Ming Ting (Digit. Signal Process., 2017)

Sparse and smooth canonical correlation analysis through rank-1 matrix approximation. - Abdeldjalil Aïssa-El-Bey; Abd-Krim Seghouane (EURASIP J. Adv. Signal Process., 2017)

Improving the Incoherence of a Learned Dictionary via Rank Shrinkage. - Shashanka Ubaru; Abd-Krim Seghouane; Yousef Saad (Neural Comput., 2017)

Fast Estimation of Approximate Matrix Ranks Using Spectral Densities. - Shashanka Ubaru; Yousef Saad; Abd-Krim Seghouane (Neural Comput., 2017)

Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis. - Abd-Krim Seghouane; Asif Iqbal 007 (IEEE Trans. Image Process., 2017)

Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis. - Abd-Krim Seghouane; Asif Iqbal 007 (IEEE Trans. Medical Imaging, 2017)

An Algorithm for Multi Subject Fmri Analysis Based on the SVD and Penalized Rank-1 Matrix Approximation. - Asif Iqbal 007; Abd-Krim Seghouane (ICASSP, 2018)

Dictionary Learning Algorithm for Multi-Subject Fmri Analysis Via Temporal and Spatial Concatenation. - Asif Iqbal 007; Abd-Krim Seghouane (ICASSP, 2018)

PCCA: A Projection CCA Method for Effective FMRI Data Analysis. - Muhammad Ali Qadar; Abd-Krim Seghouane (ICIP, 2018)

A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme. - Asif Iqbal 007; Abd-Krim Seghouane (Digit. Signal Process., 2018)

Algorithms for two dimensional multi set canonical correlation analysis. - Nandakishor Desai; Abd-Krim Seghouane; Marimuthu Palaniswami (Pattern Recognit. Lett., 2018)

Consistent adaptive sequential dictionary learning. - Abd-Krim Seghouane; Asif Iqbal 007 (Signal Process., 2018)

The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA. - Abd-Krim Seghouane; Asif Iqbal 007 (Signal Process., 2018)

Hybrid Joint Diagonalization Algorithms. - Mohamed Nait Meziane; Karim Abed-Meraim; Abd-Krim Karim Seghouane; Ammar Mesloub (IEEE Signal Process. Lett., 2018)

Two-Dimensional Whitening of Face Images for Improved PCA Performance. - Abd-Krim Seghouane; Navid Shokouhi (IEEE Signal Process. Lett., 2018)

Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis. - Asif Iqbal 007; Abd-Krim Seghouane; Tülay Adali (IEEE Trans. Biomed. Eng., 2018)

Robust Dictionary Learning Using α-Divergence. - Asif Iqbal 007; Abd-Krim Seghouane (ICASSP, 2019)

Adaptive Subspace Detector in High Dimensional Space with Insufficient Training Data. - Aref Miri Rekavandi; Abd-Krim Seghouane; Robin J. Evans 001 (ICASSP, 2019)

Sequential Structured Dictionary Learning for Block Sparse Representations. - Abd-Krim Seghouane; Asif Iqbal 007; Karim Abed-Meraim (ICASSP, 2019)

Motion Artefact Removal in Functional Near-infrared Spectroscopy Signals Based on Robust Estimation. - Mengmeng Wang; Abd-Krim Seghouane (ICASSP, 2019)

Find the dimension that counts: Fast dimension estimation and Krylov PCA. - Shashanka Ubaru; Abd-Krim Seghouane; Yousef Saad (SDM, 2019)

Estimating the Number of Significant Canonical Coordinates. - Abd-Krim Seghouane; Navid Shokouhi (IEEE Access, 2019)

Two dimensional CCA via penalized matrix decomposition for structure preserved fMRI data analysis. - Muhammad Ali Qadar; Abdeldjalil Aïssa-El-Bey; Abd-Krim Seghouane (Digit. Signal Process., 2019)

A Projection CCA Method for Effective fMRI Data Analysis. - Muhammad Ali Qadar; Abd-Krim Seghouane (IEEE Trans. Biomed. Eng., 2019)

A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations. - Abd-Krim Seghouane; Asif Iqbal 007; Karim Abed-Meraim (IEEE Trans. Computational Imaging, 2019)

An α-Divergence-Based Approach for Robust Dictionary Learning. - Asif Iqbal 007; Abd-Krim Seghouane (IEEE Trans. Image Process., 2019)

Sparse Principal Component Analysis With Preserved Sparsity Pattern. - Abd-Krim Seghouane; Navid Shokouhi; Inge Koch (IEEE Trans. Image Process., 2019)

Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis. - Abd-Krim Seghouane; Navid Shokouhi (IEEE Trans. Medical Imaging, 2019)

Robust Hemodynamic Response Function Estimation From fNIRS Signals. - Abd-Krim Seghouane; Davide Ferrari (IEEE Trans. Signal Process., 2019)

Adaptive Matched Filter using Non-Target Free Training Data. - Aref Miri Rekavandi; Abd-Krim Seghouane; Robin J. Evans 001 (ICASSP, 2020)

Robust Likelihood Ratio Test Using α-Divergence. - Aref Miri Rekavandi; Abd-Krim Seghouane; Robin J. Evans 001 (ICASSP, 2020)

Robust Principal Component Analysis Using Alpha Divergence. - Aref Miri Rekavandi; Abd-Krim Seghouane (ICIP, 2020)

Robust Structured Dictionary Learning For Block Sparse Representations Using α-Divergence. - Abd-Krim Seghouane (ICIP, 2020)

Sparsity Preserved Canonical Correlation Analysis. - Abd-Krim Seghouane; Muhammad Ali Qadar (ICIP, 2020)

Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging. - Vishal Monga; Scott T. Acton; Abd-Krim Seghouane; Arrate Muñoz-Barrutia; Jong Chul Ye (IEEE J. Sel. Top. Signal Process., 2020)

Adaptive complex-valued dictionary learning: Application to fMRI data analysis. - Asif Iqbal 007; Mohamed Nait Meziane; Abd-Krim Seghouane; Karim Abed-Meraim (Signal Process., 2020)

Adaptive Learning for Robust Radial Basis Function Networks. - Abd-Krim Seghouane; Navid Shokouhi (IEEE Trans. Cybern., 2021)

Robust Subspace Detectors Based on α-Divergence With Application to Detection in Imaging. - Aref Miri Rekavandi; Abd-Krim Seghouane; Robin J. Evans 001 (IEEE Trans. Image Process., 2021)

Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance. - Aref Miri Rekavandi; Abd-Krim Seghouane; Robin J. Evans 001 (IEEE Trans. Biomed. Eng., 2022)

Extended Expectation Maximization for Under-Fitted Models. - Aref Miri Rekavandi; Abd-Krim Seghouane; Farid Boussaïd; Mohammed Bennamoun (ICASSP, 2023)

Robust Subspace Tracking with Contamination Mitigation via α-Divergence. - Le Trung Thanh; Aref Miri Rekavandi; Abd-Krim Seghouane; Karim Abed-Meraim (ICASSP, 2023)

TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method. - Aref Miri Rekavandi; Abd-Krim Seghouane; Karim Abed-Meraim (IEEE Trans. Signal Process., 2023)

RBDL: Robust block-Structured dictionary learning for block sparse representation. - Abd-Krim Seghouane; Asif Iqbal 007; Aref Miri Rekavandi (Pattern Recognit. Lett., 2023)

B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images. - Aref Miri Rekavandi; Farid Boussaïd; Abd-Krim Seghouane; Mohammed Bennamoun (IEEE Robotics Autom. Lett., 2023)

An α-Divergence Approach To Robust Canonical Correlation Analysis. - Wenjing Yang; Abd-Krim Seghouane; Pavel Krupskiy (ICIP, 2024)

Beyond Full Label: Single-Point Prompt for Infrared Small Target Label Generation. - Shuai Yuan 013; Hanlin Qin; Renke Kou; Xiang Yan; Zechuan Li; Chenxu Peng; Abd-Krim Seghouane (CoRR, 2024)

Joint Approximate Partial Diagonalization of Large Matrices. - Abd-Krim Seghouane; Yousef Saad (CoRR, 2024)

Learning Robust and Sparse Principal Components With the α-Divergence. - Aref Miri Rekavandi; Abd-Krim Seghouane; Robin J. Evans 001 (IEEE Trans. Image Process., 2024)

Robust Deterministic DOA Estimation Using α-divergence in Unknown Noise Fields with Sparse Sensor Arrays. - Wenjing Yang; Abd-Krim Seghouane; Pavel Krupskiy (ICASSP, 2025)

A Guide to Image- and Video-Based Small Object Detection Using Deep Learning: Case Study of Maritime Surveillance. - Aref Miri Rekavandi; Lian Xu; Farid Boussaïd; Abd-Krim Seghouane; Stephen Hoefs; Mohammed Bennamoun (IEEE Trans. Intell. Transp. Syst., 2025)