Nidhal Bouaynaya

发表

Rotorcraft Flight Information Inference from Cockpit Videos using Deep Learning

Ghulam Rasool, Charles Johnson, Hikmat Khan, 2019, Proceedings of the Vertical Flight Society 75th Annual Forum.

Optimal Perturbation Control of General Topology Molecular Networks

Dan Schonfeld, Nidhal Bouaynaya, Roman Shterenberg, 2013, IEEE Transactions on Signal Processing.

AKRON: An algorithm for approximating sparse kernel reconstruction

Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, 2018, Signal Process..

Nonstationary Analysis of Coding and Noncoding Regions in Nucleotide Sequences

Dan Schonfeld, Nidhal Bouaynaya, D. Schonfeld, 2008, IEEE Journal of Selected Topics in Signal Processing.

Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks

Ghulam Rasool, Nidhal Bouaynaya, Dimah Dera, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Time-dependent ARMA modeling of genomic sequences

Dan Schonfeld, William D. O'Neill, Nidhal Bouaynaya, 2008, BMC Bioinformatics.

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

Kamran Iqbal, Ghulam Rasool, Nidhal Bouaynaya, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Clustering gene expression data using probabilistic non-negative matrix factorization

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

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

Dan Schonfeld, Nidhal Bouaynaya, Roman Shterenberg, 2012, IEEE Signal Processing Magazine.

Robustness of inverse perturbation for discrete event control

Dan Schonfeld, Nidhal Bouaynaya, Roman Shterenberg, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Neural drive estimation using the hypothesis of muscle synergies and the state-constrained Kalman filter

Kamran Iqbal, Nidhal Bouaynaya, Gannon White, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

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

Hassan M. Fathallah-Shaykh, Nidhal Bouaynaya, Fabio Raman, 2016, BrainLes@MICCAI.

Optimal perturbation control of gene regulatory networks

Dan Schonfeld, Nidhal Bouaynaya, Roman Shterenberg, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

On the Optimality of Motion-Based Particle Filtering

Dan Schonfeld, Nidhal Bouaynaya, 2009, IEEE Transactions on Circuits and Systems for Video Technology.

Optimal Bayesian classification in nonstationary streaming environments

Robi Polikar, Nidhal Bouaynaya, Jehandad Khan, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Active surfaces for video tracking and 3-D segmentation based on a new method for multidimensional optimization

Dan Schonfeld, Nidhal Bouaynaya, 2006, Electronic Imaging.

Automatic multi-head detection and tracking system using a novel detection-based particle filter and data fusion

Dan Schonfeld, Wei Qu, Nidhal Bouaynaya, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Information-Theoretic Model of Evolution over Protein Communication Channel

Dan Schonfeld, Liuling Gong, Nidhal Bouaynaya, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Yasir Rahmatallah, Seshadri Mohan, Nidhal Bouaynaya, 2010, 2010 Wireless Telecommunications Symposium (WTS).

M-Idempotent and Self-Dual Morphological Filters

Dan Schonfeld, Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies

Kamran Iqbal, Ghulam Rasool, Nidhal Bouaynaya, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Protein Communication System: Evolution and Genomic Structure

Dan Schonfeld, Nidhal Bouaynaya, D. Schonfeld, 2007, Algorithmica.

Inference of genetic regulatory networks using regularized likelihood with covariance estimation

Dan Schonfeld, Ghulam Rasool, Hassan M. Fathallah-Shaykh, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

EEG dynamic source localization using Marginalized Particle Filtering

Lyudmila Mihaylova, Petia Georgieva, Nidhal Bouaynaya, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Analysis of proteomics and genomics based on signal processing and communication theory

Nidhal Bouaynaya, 2007 .

Inverse perturbation for optimal intervention in gene regulatory networks

Dan Schonfeld, Nidhal Bouaynaya, Roman Shterenberg, 2011, Bioinform..

Machine Learning in Transportation Data Analytics

Ilya Safro, Robi Polikar, Parth Bhavsar, 2017 .

Compressive Kalman filtering for recovering temporally-rewiring genetic networks

Hassan M. Fathallah-Shaykh, Nidhal Bouaynaya, Jehandad Khan, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

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

Hassan M. Fathallah-Shaykh, Nidhal Bouaynaya, Dimah Dera, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Inductive learning based on rough set theory for medical decision making

Ahmad Taher Azar, Robi Polikar, Nidhal Bouaynaya, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

On the Convergence of Constrained Particle Filters

Souad Chebbi, Nidhal Bouaynaya, Roman Shterenberg, 2017, IEEE Signal Processing Letters.

Kernel reconstruction: An exact greedy algorithm for compressive sensing

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Portable, affordable and integrated platform capable of intelligent

Mashrur Chowdhury, Yusuf Mehta, Parth Bhavsar, 2018 .

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

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg, 2017, IEEE Journal of Biomedical and Health Informatics.

The AKRON-Kalman filter for tracking time-varying networks

Gregory Ditzler, Hassan M. Fathallah-Shaykh, Nidhal Bouaynaya, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Intervention in general topology gene regulatory networks

Dan Schonfeld, Nidhal Bouaynaya, Roman Shterenberg, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Inference of genetic regulatory networks with unknown covariance structure

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Spatially Variant Morphological Restoration and Skeleton Representation

Dan Schonfeld, Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, 2006, IEEE Transactions on Image Processing.

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

Robi Polikar, Hassan M. Fathallah-Shaykh, Nidhal Bouaynaya, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Radhakrishnan Nagarajan, Dan Schonfeld, Nidhal Bouaynaya, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Adaptive mathematical morphology: A unified representation theory

Dan Schonfeld, Nidhal Bouaynaya, D. Schonfeld, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

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

Dan Schonfeld, Nidhal Bouaynaya, 2006, IEEE Signal Processing Letters.

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

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg, 2014, J. Bioinform. Comput. Biol..

Trajectory design of an Aircraft for Circular Motion

Robi Polikar, Nidhal Bouaynaya, Petia Georgieva, 2020, 2020 IEEE 16th International Conference on Control & Automation (ICCA).

Bayesian Approach for Reconstruction of Moving Brain Dipoles

Lyudmila Mihaylova, Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, 2013, ICIAR.

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

Yasir Rahmatallah, Seshadri Mohan, Nidhal Bouaynaya, 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

Explainable AI: Rotorcraft Attitude Prediction

Nidhal Bouaynaya, Ghulam Rasool, Charles Johnson, 2020 .

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

Dan Schonfeld, Nidhal Bouaynaya, D. Schonfeld, 2005, IS&T/SPIE Electronic Imaging.

Particle filters and beamforming for EEG source estimation

Lakhmi C. Jain, Lyudmila Mihaylova, Petia Georgieva, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Spatially variant morphological image processing: theory and applications

Dan Schonfeld, Nidhal Bouaynaya, 2006, Electronic Imaging.

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

Lyudmila Mihaylova, Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Approximate kernel reconstruction for time-varying networks

Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, 2019, BioData Mining.

Sparse biologically-constrained optimal perturbation of gene regulatory networks

Haoyu Wang, Dan Schonfeld, Nidhal Bouaynaya, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Constrained state estimation in particle filters

Robi Polikar, Nidhal Bouaynaya, Roman Shterenberg, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

EEG dynamic source localization using constrained particle filtering

Souad Chebbi, Petia Georgieva, Nidhal Bouaynaya, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Board # 29 : A PATTERN RECOGNITION APPROACH TO SIGNAL TO NOISE RATIO ESTIMATION OF SPEECH

Kevin Dahm, Rouzbeh Nazari, Nidhal Bouaynaya, 2017 .

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

Yasir Rahmatallah, Seshadri Mohan, Nidhal Bouaynaya, 2011, 2011 Wireless Telecommunications Symposium (WTS).

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

Lakhmi C. Jain, Lyudmila Mihaylova, Petia Georgieva, 2016, IEEE Journal of Biomedical and Health Informatics.

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

Hassan M. Fathallah-Shaykh, Nidhal Bouaynaya, Jehandad Khan, 2014, EURASIP J. Bioinform. Syst. Biol..

Bit-Error-Rate Performance of Companding Transforms for OFDM

Yasir Rahmatallah, Seshadri Mohan, Nidhal Bouaynaya, 2013, IEEE Transactions on Vehicular Technology.

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

Ghulam Rasool, Nidhal Bouaynaya, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Surface myoelectric signal classification using the AR-GARCH model

Kamran Iqbal, Ghulam Rasool, Nidhal Bouaynaya, 2014, Biomed. Signal Process. Control..

EXTENTION OF THE MUSIC ALGORITHM TO AM-FM SIGNALS

Nidhal Bouaynaya, Christina Dunlap, 2010 .

Two-dimensional ARMA modeling for breast cancer detection and classification

Dan Schonfeld, Nidhal Bouaynaya, Jerzy S. Zielinski, 2010, 2010 International Conference on Signal Processing and Communications (SPCOM).

An online motion-based particle filter for head tracking applications

Dan Schonfeld, Wei Qu, Nidhal Bouaynaya, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

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

Dan Schonfeld, Nidhal Bouaynaya, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Board 30: Enhancing Core Chemical Engineering Courses with Computationally-Intense Course Modules

Kevin Dahm, Nidhal Bouaynaya, Ravi P. Ramachandran, 2018 .

Artificial Intelligence for Helicopter Safety: Head-Pose Estimation in the Cockpit

Nidhal Bouaynaya, Ghulam Rasool, Charles Johnson, 2020, Proceedings of the Vertical Flight Society 76th Annual Forum.

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

Dan Schonfeld, Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Lyudmila Mihaylova, Nidhal Bouaynaya, Mahed Javed, 2021, FUSION.

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

Ghulam Rasool, Ravi P. Ramachandran, Nidhal Bouaynaya, 2021, IEEE Signal Processing Magazine.

Non-Stationary Analysis of DNA Sequences

Dan Schonfeld, Nidhal Bouaynaya, D. Schonfeld, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Information-Theoretic Bounds of Evolutionary Processes Modeled as a Protein Communication System

Dan Schonfeld, Liuling Gong, Nidhal Bouaynaya, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.