Nidhal Bouaynaya

72 papers B 8C 4Misc 2Journal 32Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spatio-temporal deep kernel Gaussian process for state prediction with time series measurements. Signal Process. Yifei Zhu, Xingchi Liu, Richard O. Lane, Nidhal Bouaynaya, Lyudmila Mihaylova
2025	J	`jnl`	DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction. CoRR Kyle Naddeo, Nikolas Koutsoubis, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Tony O'Sullivan, Raj Krish
2025	J	`jnl`	Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation. CoRR Christopher Angelini, Nidhal Bouaynaya
2025	J	`jnl`	Medical Image De-Identification Benchmark Challenge. CoRR Linmin Pei, Sutton Granger, Michael W. Rutherford, Ulrike Wagner, Tracy S. Nolan, Kirk E. Smith, Phillip Farmer, Peter Gu, Ambar Rana, Kailing Chen, Thomas Ferleman, Brian Park, Ye Wu, Jordan Kojouharov, Gargi Singh, Jon Lemon, Tyler Willis, Milos Vukadinovic, Grant Duffy, Bryan He, David Ouyang, Marco Pereanez, Daniel D. Samber, Derek A. Smith, Christopher Cannistraci, Zahi Fayad, David S. Mendelson, Michele Bufano, Elmar Kotter, Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden, Christopher Ablett, Silvia Siggillino, Sandeep Kaushik, Hongzhu Jiang, Sihan Xie, Zhiyu Wan, Alex Michie, Simon J. Doran, Angeline Aurelia Waly, Felix A. Nathaniel Liang, Humam Arshad Mustagfirin, Michelle Grace Felicia, Kuo Po Chih, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Nikolas Koutsoubis, Kyle Naddeo, Kartik Pandit, Tony O'Sullivan, Raj Krish, Qinyan Pan, Scott Gustafson, Benjamin Kopchick, Laura Opsahl-Ong, Andrea Olvera-Morales, Jonathan Pinney, Kathryn Johnson, Theresa Do, Juergen Klenk, Maria Diaz, Arti Singh, Rong Chai, David A. Clunie, Fred W. Prior, Keyvan Farahani
2024	J	`jnl`	BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova
2023	J	`jnl`	EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. IEEE Access Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool
2023	J	`jnl`	EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. CoRR Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool
2023	C	`conf`	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova
2023	J	`jnl`	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova
2023	J	`jnl`	Variational Density Propagation Continual Learning. CoRR Christopher Angelini, Nidhal Bouaynaya, Ghulam Rasool
2022	B	`conf`	An Information Geometric Perspective to Adversarial Attacks and Defenses. IJCNN Kyle Naddeo, Nidhal Bouaynaya, Roman Shterenberg
2022	C	`conf`	Deep Learning for Audio Visual Emotion Recognition. FUSION Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova
2021	J	`jnl`	Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks. CoRR Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya, Ravi Prakash Ramachandran
2021	C	`conf`	Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. FUSION Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya
2020	C	`conf`	Spatio-Temporal Statistical Sequential Analysis for Temperature Change Detection in Satellite Imagery. IGARSS Husam Alfergani, Nidhal Bouaynaya, Rouzbeh Nazari
2020	—	`conf`	Trajectory design of an Aircraft for Circular Motion. ICCA Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar
2019	—	`conf`	Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya
2018	J	`jnl`	AKRON: An algorithm for approximating sparse kernel reconstruction. Signal Process. Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg
2017	J	`jnl`	On the Convergence of Constrained Particle Filters. IEEE Signal Process. Lett. Nesrine Amor, Nidhal Bouaynaya, Roman Shterenberg, Souad Chebbi
2017	J	`jnl`	SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation. IEEE J. Biomed. Health Informatics Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2017	—	`conf`	The AKRON-Kalman filter for tracking time-varying networks. BHI Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh
2016	J	`jnl`	A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE J. Biomed. Health Informatics Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain
2016	—	`conf`	EEG dynamic source localization using constrained particle filtering. SSCI Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi
2016	—	`conf`	Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. BrainLes@MICCAI Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
2016	B	`conf`	Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. IJCNN Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh
2015	Misc	`conf`	Constrained state estimation in particle filters. ICASSP Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg
2015	—	`conf`	EEG dynamic source localization using Marginalized Particle Filtering. BIBM Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova
2015	B	`conf`	Inductive learning based on rough set theory for medical decision making. FUZZ-IEEE Ahmad Taher Azar, Nidhal Bouaynaya, Robi Polikar
2015	—	`conf`	Level set segmentation using non-negative matrix factorization of brain MRI images. BIBM Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
2014	—	`conf`	Kernel reconstruction: An exact greedy algorithm for compressive sensing. GlobalSIP Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2014	B	`conf`	Optimal Bayesian classification in nonstationary streaming environments. IJCNN Jehandad Khan, Nidhal Bouaynaya, Robi Polikar
2014	J	`jnl`	Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis. J. Bioinform. Comput. Biol. Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2014	B	`conf`	Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. IJCNN Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya
2014	J	`jnl`	Surface myoelectric signal classification using the AR-GARCH model. Biomed. Signal Process. Control. Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White
2014	J	`jnl`	Tracking of time-varying genomic regulatory networks with a LASSO-Kalman smoother. EURASIP J. Bioinform. Syst. Biol. Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
2013	—	`conf`	Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva
2013	J	`jnl`	Bit-Error-Rate Performance of Companding Transforms for OFDM. IEEE Trans. Veh. Technol. Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan
2013	—	`conf`	Compressive Kalman filtering for recovering temporally-rewiring genetic networks. EUSIPCO Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
2013	—	`conf`	Inference of genetic regulatory networks with unknown covariance structure. GENSiPS Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2013	J	`jnl`	Optimal Perturbation Control of General Topology Molecular Networks. IEEE Trans. Signal Process. Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
2013	Misc	`conf`	Sparse biologically-constrained optimal perturbation of gene regulatory networks. ICASSP Haoyu Wang, Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
2012	—	`conf`	Inference of genetic regulatory networks using regularized likelihood with covariance estimation. SSP Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld
2012	—	`conf`	Inference of time-varying gene networks using constrained and smoothed Kalman filtering. GENSiPS Ghulam Rasool, Nidhal Bouaynaya
2012	J	`jnl`	M-Idempotent and Self-Dual Morphological Filters. IEEE Trans. Pattern Anal. Mach. Intell. Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
2012	J	`jnl`	Methods for Optimal Intervention in Gene Regulatory Networks [Applications Corner]. IEEE Signal Process. Mag. Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
2012	—	`conf`	Muscle activity detection from myoelectric signals based on the AR-GARCH model. SSP Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal
2012	B	`conf`	Particle filters and beamforming for EEG source estimation. IJCNN Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain
2011	B	`conf`	Bit Error Rate Performance of Linear Companding Transforms for PAPR Reduction in OFDM Systems. GLOBECOM Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan
2011	—	`conf`	Clustering gene expression data using probabilistic non-negative matrix factorization. GENSiPS Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2011	J	`jnl`	Information-Theoretic Model of Evolution over Protein Communication Channel. IEEE ACM Trans. Comput. Biol. Bioinform. Liuling Gong, Nidhal Bouaynaya, Dan Schonfeld
2011	—	`conf`	Intervention in general topology gene regulatory networks. GENSiPS Nidhal Bouaynaya, Mohammed Rasheed, Roman Shterenberg, Dan Schonfeld
2011	J	`jnl`	Inverse perturbation for optimal intervention in gene regulatory networks. Bioinform. Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
2011	—	`conf`	On the performance of linear and nonlinear companding transforms in OFDM systems. WTS Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan
2011	—	`conf`	Robustness of inverse perturbation for discrete event control. EMBC Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
2010	—	`conf`	ARMA companding scheme with improved symbol error rate for PAPR reduction in OFDM systems. WTS Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan
2010	—	`conf`	Optimal perturbation control of gene regulatory networks. GENSiPS Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
2009	B	`conf`	Adaptive mathematical morphology: A unified representation theory. ICIP Nidhal Bouaynaya, Dan Schonfeld
2009	—	`conf`	Analysis of temporal gene expression profiles using time-dependent MUSIC algorithm. GENSiPS Nidhal Bouaynaya, Dan Schonfeld, Radhakrishnan Nagarajan
2009	J	`jnl`	On the Optimality of Motion-Based Particle Filtering. IEEE Trans. Circuits Syst. Video Technol. Nidhal Bouaynaya, Dan Schonfeld
2009	J	`jnl`	Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification CoRR Nidhal Bouaynaya, Jerzy S. Zielinski, Dan Schonfeld
2008	J	`jnl`	Nonstationary Analysis of Coding and Noncoding Regions in Nucleotide Sequences. IEEE J. Sel. Top. Signal Process. Nidhal Bouaynaya, Dan Schonfeld
2008	J	`jnl`	Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images. IEEE Trans. Pattern Anal. Mach. Intell. Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
2008	J	`jnl`	Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images. IEEE Trans. Pattern Anal. Mach. Intell. Nidhal Bouaynaya, Dan Schonfeld
2008	J	`jnl`	Time-dependent ARMA modeling of genomic sequences. BMC Bioinform. Jerzy S. Zielinski, Nidhal Bouaynaya, Dan Schonfeld, William D. O'Neill
2007	J	`jnl`	Protein Communication System: Evolution and Genomic Structure. Algorithmica Nidhal Bouaynaya, Dan Schonfeld
2006	J	`jnl`	A new method for multidimensional optimization and its application in image and video processing. IEEE Signal Process. Lett. Dan Schonfeld, Nidhal Bouaynaya
2006	—	`conf`	Biological Evolution: Distribution and Convergence Analysis of Amino Acids. EMBC Nidhal Bouaynaya, Dan Schonfeld
2006	J	`jnl`	Spatially Variant Morphological Restoration and Skeleton Representation. IEEE Trans. Image Process. Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld
2006	—	`conf`	The Genomic Structure: Proof of the Role of Non-Coding DNA. EMBC Nidhal Bouaynaya, Dan Schonfeld
2005	—	`conf`	A complete system for head tracking using motion-based particle filter and randomly perturbed active contour. Electronic Imaging: Image and Video Communications and Processing Nidhal Bouaynaya, Dan Schonfeld
2005	—	`conf`	An Online Motion-Based Particle Filter for Head Tracking Applications. ICASSP (2) Nidhal Bouaynaya, Wei Qu, Dan Schonfeld
2005	—	`conf`	Automatic Multi-Head Detection and Tracking System using A Novel Detection-Based Particle Filter and Data Fusion. ICASSP (2) Wei Qu, Nidhal Bouaynaya, Dan Schonfeld