Nidhal Bouaynaya

According to our database, Nidhal Bouaynaya authored at least 94 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Atmospheric visibility estimation: a review of deep learning approach.

Kabira Ait Ouadil, Soufiane Idbraim, Taha Bouhsine, Nidhal Carla Bouaynaya, Husam Alfergani, Charles Cliff Johnson

Multim. Tools Appl., April, 2024

TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs.

Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Trans. Knowl. Data Eng., February, 2024

Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning.

Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Access, 2024

2023

Automatic Alignment of Fractured Femur: Integration of Robot and Optical Tracking System.

Marzieh S. Saeedi-Hosseiny, Fayez Alruwaili, Michael P. Clancy, Emily A. Corson, Sean McMillan, Charalampos Papachristou, Nidhal C. Bouaynaya, Iulian Iordachita, Mohammad H. Abedinnasab

IEEE Robotics Autom. Lett., May, 2023

Deep Ensemble for Rotorcraft Attitude Prediction.

Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool, Tyler Travis, Lacey Thompson, Charles Cliff Johnson

CoRR, 2023

Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection.

Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool

CoRR, 2023

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models.

Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool

IEEE Access, 2023

Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection.

Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool

IEEE Access, 2023

Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images.

Giuseppina Carannante, Nidhal C. Bouaynaya

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Deep Learning Approach For Airport Runway Detection and Localization From Satellite Imagery.

Amine Khelifi, Mahmut Gemici, Giuseppina Carannante, Charles Cliff Johnson, Nidhal C. Bouaynaya

Proceedings of the IEEE Symposium on Computers and Communications, 2023

The Importance of Robust Features in Mitigating Catastrophic Forgetting.

Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Variational Density Propagation Continual Learning.

Christopher Angelini, Nidhal C. Bouaynaya, Ghulam Rasool

Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023

Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training.

Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel

Proceedings of the International Joint Conference on Neural Networks, 2023

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation.

Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks.

Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya

IEEE Signal Process. Mag., 2022

Atmospheric Visibility Image-Based System for Instrument Meteorological Conditions Estimation: A Deep Learning Approach.

Taha Bouhsine, Soufiane Idbraim, Nidhal Carla Bouaynaya, Husam Alfergani, Kabira Ait Ouadil, Charles Cliff Johnson

Proceedings of the 9th International Conference on Wireless Networks and Mobile Communications, 2022

An Information Geometric Perspective to Adversarial Attacks and Defenses.

Kyle Naddeo, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the International Joint Conference on Neural Networks, 2022

Adversarially Robust Continual Learning.

Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Learning for Audio Visual Emotion Recognition.

Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova

Proceedings of the 25th International Conference on Information Fusion, 2022

Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning.

Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks.

Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh

IEEE Trans. Signal Process., 2021

Trustworthy Medical Segmentation with Uncertainty Estimation.

Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh

CoRR, 2021

Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation.

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

CoRR, 2021

Exploring Robustness of Neural Networks through Graph Measures.

Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya

CoRR, 2021

Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images.

Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks.

Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

A Deep Learning Framework for Joint Image Restoration and Recognition.

Ruilong Chen, Lyudmila Mihaylova, Hao Zhu, Nidhal C. Bouaynaya

Circuits Syst. Signal Process., 2020

Robust Learning via Ensemble Density Propagation in Deep Neural Networks.

Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Self-Compression in Bayesian Neural Networks.

Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Bayesian Neural Networks Uncertainty Quantification with Cubature Rules.

Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Using Deep Speech Recognition to Evaluate Speech Enhancement Methods.

Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Spatio-Temporal Statistical Sequential Analysis for Temperature Change Detection in Satellite Imagery.

Husam Alfergani, Nidhal Bouaynaya, Rouzbeh Nazari

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Trajectory design of an Aircraft for Circular Motion.

Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

Constrained particle filtering for movement identification in forearm prosthesis.

Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya, Roman Shterenberg

Signal Process., 2019

Inception Modules Enhance Brain Tumor Segmentation.

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Frontiers Comput. Neurosci., 2019

Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks.

Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Introducing Undergraduates to Pattern Recognition and Machine Learning through Speech Processing.

Ravi Prakash Ramachandran, Kevin D. Dahm, Nidhal C. Bouaynaya

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

AKRON: An algorithm for approximating sparse kernel reconstruction.

Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg

Signal Process., 2018

Inverted Cone Convolutional Neural Network For Deboning MRIs.

Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks.

Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

IEEE J. Biomed. Health Informatics, 2017

On the Convergence of Constrained Particle Filters.

Nesrine Amor, Nidhal Bouaynaya, Roman Shterenberg, Souad Chebbi

IEEE Signal Process. Lett., 2017

The AKRON-Kalman filter for tracking time-varying networks.

Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources.

Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain

IEEE J. Biomed. Health Informatics, 2016

EEG dynamic source localization using constrained particle filtering.

Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge.

Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation.

Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Constrained state estimation in particle filters.

Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Inductive learning based on rough set theory for medical decision making.

Ahmad Taher Azar, Nidhal Bouaynaya, Robi Polikar

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

EEG dynamic source localization using Marginalized Particle Filtering.

Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Level set segmentation using non-negative matrix factorization of brain MRI images.

Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

J. Bioinform. Comput. Biol., 2014

Tracking of time-varying genomic regulatory networks with a LASSO-Kalman smoother.

Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

EURASIP J. Bioinform. Syst. Biol., 2014

Surface myoelectric signal classification using the AR-GARCH model.

Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White

Biomed. Signal Process. Control., 2014

Optimal Bayesian classification in nonstationary streaming environments.

Jehandad Khan, Nidhal Bouaynaya, Robi Polikar

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data.

Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Kernel reconstruction: An exact greedy algorithm for compressive sensing.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Bit-Error-Rate Performance of Companding Transforms for OFDM.

Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan

IEEE Trans. Veh. Technol., 2013

Optimal Perturbation Control of General Topology Molecular Networks.

Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

IEEE Trans. Signal Process., 2013

Bayesian Approach for Reconstruction of Moving Brain Dipoles.

Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Sparse biologically-constrained optimal perturbation of gene regulatory networks.

Haoyu Wang, Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

Proceedings of the IEEE International Conference on Acoustics, 2013

Inference of genetic regulatory networks with unknown covariance structure.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Compressive Kalman filtering for recovering temporally-rewiring genetic networks.

Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Methods for Optimal Intervention in Gene Regulatory Networks [Applications Corner].

Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

IEEE Signal Process. Mag., 2012

M-Idempotent and Self-Dual Morphological Filters.

Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Muscle activity detection from myoelectric signals based on the AR-GARCH model.

Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Inference of genetic regulatory networks using regularized likelihood with covariance estimation.

Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Particle filters and beamforming for EEG source estimation.

Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Inference of time-varying gene networks using constrained and smoothed Kalman filtering.

Ghulam Rasool, Nidhal Bouaynaya

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011

Information-Theoretic Model of Evolution over Protein Communication Channel.

Liuling Gong, Nidhal Bouaynaya, Dan Schonfeld

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Inverse perturbation for optimal intervention in gene regulatory networks.

Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

Bioinform., 2011

On the performance of linear and nonlinear companding transforms in OFDM systems.

Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan

Proceedings of the 2011 Wireless Telecommunications Symposium, 2011

Bit Error Rate Performance of Linear Companding Transforms for PAPR Reduction in OFDM Systems.

Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan

Proceedings of the Global Communications Conference, 2011

Intervention in general topology gene regulatory networks.

Nidhal Bouaynaya, Mohammed Rasheed, Roman Shterenberg, Dan Schonfeld

Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Clustering gene expression data using probabilistic non-negative matrix factorization.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Robustness of inverse perturbation for discrete event control.

Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

ARMA companding scheme with improved symbol error rate for PAPR reduction in OFDM systems.

Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan

Proceedings of the 2010 Wireless Telecommunications Symposium, 2010

Optimal perturbation control of gene regulatory networks.

Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld

Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

2009

On the Optimality of Motion-Based Particle Filtering.

Nidhal Bouaynaya, Dan Schonfeld

IEEE Trans. Circuits Syst. Video Technol., 2009

Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification

Nidhal Bouaynaya, Jerzy S. Zielinski, Dan Schonfeld

CoRR, 2009

Adaptive mathematical morphology: A unified representation theory.

Nidhal Bouaynaya, Dan Schonfeld

Proceedings of the International Conference on Image Processing, 2009

Analysis of temporal gene expression profiles using time-dependent MUSIC algorithm.

Nidhal Bouaynaya, Dan Schonfeld, Radhakrishnan Nagarajan

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008

Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images.

Nidhal Bouaynaya, Dan Schonfeld

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images.

Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Nonstationary Analysis of Coding and Noncoding Regions in Nucleotide Sequences.

Nidhal Bouaynaya, Dan Schonfeld

IEEE J. Sel. Top. Signal Process., 2008

Time-dependent ARMA modeling of genomic sequences.

Jerzy S. Zielinski, Nidhal Bouaynaya, Dan Schonfeld, William D. O'Neill

BMC Bioinform., 2008

2007

Protein Communication System: Evolution and Genomic Structure.

Nidhal Bouaynaya, Dan Schonfeld

Algorithmica, 2007

2006

Spatially Variant Morphological Restoration and Skeleton Representation.

Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld

IEEE Trans. Image Process., 2006

A new method for multidimensional optimization and its application in image and video processing.

Dan Schonfeld, Nidhal Bouaynaya

IEEE Signal Process. Lett., 2006

The Genomic Structure: Proof of the Role of Non-Coding DNA.

Nidhal Bouaynaya, Dan Schonfeld

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Biological Evolution: Distribution and Convergence Analysis of Amino Acids.

Nidhal Bouaynaya, Dan Schonfeld

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Automatic Multi-Head Detection and Tracking System using A Novel Detection-Based Particle Filter and Data Fusion.

Wei Qu, Nidhal Bouaynaya, Dan Schonfeld

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An Online Motion-Based Particle Filter for Head Tracking Applications.

Nidhal Bouaynaya, Wei Qu, Dan Schonfeld

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A complete system for head tracking using motion-based particle filter and randomly perturbed active contour.

Nidhal Bouaynaya, Dan Schonfeld

Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005