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ORCIDNidhal Bouaynaya
Nidhal C. Bouaynaya – Nidhal Carla Bouaynaya
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2020 – today
- 2024
[j34]Hikmat Khan
, Nidhal Carla Bouaynaya, Ghulam Rasool:
Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. IEEE Access 12: 34054-34073 (2024)- [j33]Loïc Shi-Garrier, Nidhal Carla Bouaynaya, Daniel Delahaye:
Adversarial Robustness with Partial Isometry. Entropy 26(2): 103 (2024) - [j32]Kabira Ait Ouadil, Soufiane Idbraim, Taha Bouhsine, Nidhal Carla Bouaynaya, Husam Alfergani, Charles Cliff Johnson:
Atmospheric visibility estimation: a review of deep learning approach. Multim. Tools Appl. 83(12): 36261-36286 (2024) - [j31]Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool:
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. IEEE Trans. Knowl. Data Eng. 36(2): 882-896 (2024) - [j30]Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova:
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. 2024 (2024) - [c58]Christopher Angelini, Nidhal C. Bouaynaya:
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation. IJCNN 2024: 1-8 - [c57]Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya:
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. IJCNN 2024: 1-8 - [i15]Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool:
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. CoRR abs/2404.14588 (2024) - [i14]Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya:
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. CoRR abs/2405.11829 (2024) - 2023
- [j29]Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool:
Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. IEEE Access 11: 81656-81671 (2023) - [j28]Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool:
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. IEEE Access 11: 82556-82569 (2023) - [j27]Marzieh S. Saeedi-Hosseiny, Fayez Alruwaili, Michael P. Clancy, Emily A. Corson, Sean McMillan, Charalampos Papachristou, Nidhal C. Bouaynaya, Iulian Iordachita, Mohammad H. Abedinnasab:
Automatic Alignment of Fractured Femur: Integration of Robot and Optical Tracking System. IEEE Robotics Autom. Lett. 8(5): 2438-2445 (2023) - [c56]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION 2023: 1-8 - [c55]Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel:
Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. IJCNN 2023: 1-8 - [c54]Christopher Angelini, Nidhal C. Bouaynaya, Ghulam Rasool:
Variational Density Propagation Continual Learning. ISPA 2023: 1-6 - [c53]Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool:
The Importance of Robust Features in Mitigating Catastrophic Forgetting. ISCC 2023: 752-757 - [c52]Amine Khelifi, Mahmut Gemici, Giuseppina Carannante, Charles Cliff Johnson, Nidhal C. Bouaynaya:
A Deep Learning Approach For Airport Runway Detection and Localization From Satellite Imagery. ISCC 2023: 1066-1069 - [c51]Giuseppina Carannante, Nidhal C. Bouaynaya:
Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images. MLSP 2023: 1-6 - [i13]Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool:
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. CoRR abs/2302.00220 (2023) - [i12]Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool:
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. CoRR abs/2303.08866 (2023) - [i11]Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool:
The Importance of Robust Features in Mitigating Catastrophic Forgetting. CoRR abs/2306.17091 (2023) - [i10]Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool, Tyler Travis, Lacey Thompson, Charles Cliff Johnson:
Deep Ensemble for Rotorcraft Attitude Prediction. CoRR abs/2306.17104 (2023) - [i9]Christopher Angelini, Nidhal Bouaynaya, Ghulam Rasool:
Variational Density Propagation Continual Learning. CoRR abs/2308.11801 (2023) - [i8]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR abs/2310.19119 (2023) - 2022
- [j26]Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya:
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. IEEE Signal Process. Mag. 39(4): 73-84 (2022) - [c50]Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool:
Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. FUSION 2022: 1-8 - [c49]Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova:
Deep Learning for Audio Visual Emotion Recognition. FUSION 2022: 1-8 - [c48]Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool:
Adversarially Robust Continual Learning. IJCNN 2022: 1-8 - [c47]Kyle Naddeo, Nidhal Bouaynaya, Roman Shterenberg:
An Information Geometric Perspective to Adversarial Attacks and Defenses. IJCNN 2022: 1-8 - [c46]Taha Bouhsine, Soufiane Idbraim, Nidhal Carla Bouaynaya, Husam Alfergani, Kabira Ait Ouadil, Charles Cliff Johnson:
Atmospheric Visibility Image-Based System for Instrument Meteorological Conditions Estimation: A Deep Learning Approach. WINCOM 2022: 1-6 - 2021
- [j25]Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh:
PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks. IEEE Trans. Signal Process. 69: 4669-4684 (2021) - [c45]Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. FUSION 2021: 1-7 - [c44]Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya:
Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. FUSION 2021: 1-8 - [i7]Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya:
Exploring Robustness of Neural Networks through Graph Measures. CoRR abs/2106.15850 (2021) - [i6]Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya, Ravi Prakash Ramachandran:
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks. CoRR abs/2107.11400 (2021) - [i5]Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation. CoRR abs/2108.06772 (2021) - [i4]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. CoRR abs/2111.05950 (2021) - [i3]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR abs/2111.05953 (2021) - [i2]Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh:
Trustworthy Medical Segmentation with Uncertainty Estimation. CoRR abs/2111.05978 (2021) - 2020
- [j24]Ruilong Chen, Lyudmila Mihaylova, Hao Zhu, Nidhal C. Bouaynaya:
A Deep Learning Framework for Joint Image Restoration and Recognition. Circuits Syst. Signal Process. 39(3): 1561-1580 (2020) - [c43]Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar:
Trajectory design of an Aircraft for Circular Motion. ICCA 2020: 373-377 - [c42]Husam Alfergani, Nidhal Bouaynaya, Rouzbeh Nazari:
Spatio-Temporal Statistical Sequential Analysis for Temperature Change Detection in Satellite Imagery. IGARSS 2020: 2917-2920 - [c41]Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya:
Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. IJCNN 2020: 1-7 - [c40]Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He:
Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. IJCNN 2020: 1-7 - [c39]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. MLSP 2020: 1-6 - [c38]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP 2020: 1-6
2010 – 2019
- 2019
- [j23]Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Inception Modules Enhance Brain Tumor Segmentation. Frontiers Comput. Neurosci. 13: 44 (2019) - [j22]Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya, Roman Shterenberg:
Constrained particle filtering for movement identification in forearm prosthesis. Signal Process. 161: 25-35 (2019) - [c37]Ravi Prakash Ramachandran, Kevin D. Dahm, Nidhal C. Bouaynaya:
Introducing Undergraduates to Pattern Recognition and Machine Learning through Speech Processing. ICASSP 2019: 7635-7639 - [c36]Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya:
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP 2019: 1-6 - 2018
- [j21]Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg:
AKRON: An algorithm for approximating sparse kernel reconstruction. Signal Process. 144: 265-270 (2018) - [c35]Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh:
Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. IJCNN 2018: 1-8 - [c34]Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Inverted Cone Convolutional Neural Network For Deboning MRIs. IJCNN 2018: 1-6 - 2017
- [j20]Nesrine Amor, Nidhal Bouaynaya, Roman Shterenberg, Souad Chebbi:
On the Convergence of Constrained Particle Filters. IEEE Signal Process. Lett. 24(6): 858-862 (2017) - [j19]Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg:
SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation. IEEE J. Biomed. Health Informatics 21(2): 573-581 (2017) - [c33]Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh:
The AKRON-Kalman filter for tracking time-varying networks. BHI 2017: 313-316 - 2016
- [j18]Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain:
A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE J. Biomed. Health Informatics 20(3): 880-892 (2016) - [c32]Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh:
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. IJCNN 2016: 3068-3075 - [c31]Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. BrainLes@MICCAI 2016: 195-205 - [c30]Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi:
EEG dynamic source localization using constrained particle filtering. SSCI 2016: 1-8 - 2015
- [c29]Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Level set segmentation using non-negative matrix factorization of brain MRI images. BIBM 2015: 382-387 - [c28]Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova:
EEG dynamic source localization using Marginalized Particle Filtering. BIBM 2015: 454-457 - [c27]Ahmad Taher Azar, Nidhal Bouaynaya, Robi Polikar:
Inductive learning based on rough set theory for medical decision making. FUZZ-IEEE 2015: 1-8 - [c26]Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg:
Constrained state estimation in particle filters. ICASSP 2015: 4050-4054 - 2014
- [j17]Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White:
Surface myoelectric signal classification using the AR-GARCH model. Biomed. Signal Process. Control. 13: 327-336 (2014) - [j16]Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Tracking of time-varying genomic regulatory networks with a LASSO-Kalman smoother. EURASIP J. Bioinform. Syst. Biol. 2014: 3 (2014) - [j15]Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg:
Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis. J. Bioinform. Comput. Biol. 12(1) (2014) - [c25]Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg:
Kernel reconstruction: An exact greedy algorithm for compressive sensing. GlobalSIP 2014: 1390-1393 - [c24]Jehandad Khan, Nidhal Bouaynaya, Robi Polikar:
Optimal Bayesian classification in nonstationary streaming environments. IJCNN 2014: 609-616 - [c23]Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya:
Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. IJCNN 2014: 2592-2599 - 2013
- [j14]Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld:
Optimal Perturbation Control of General Topology Molecular Networks. IEEE Trans. Signal Process. 61(7): 1733-1742 (2013) - [j13]Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan:
Bit-Error-Rate Performance of Companding Transforms for OFDM. IEEE Trans. Veh. Technol. 62(8): 4116-4120 (2013) - [c22]Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Compressive Kalman filtering for recovering temporally-rewiring genetic networks. EUSIPCO 2013: 1-5 - [c21]Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg:
Inference of genetic regulatory networks with unknown covariance structure. GENSiPS 2013: 74-77 - [c20]Haoyu Wang, Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld:
Sparse biologically-constrained optimal perturbation of gene regulatory networks. ICASSP 2013: 1167-1171 - [c19]Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva:
Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR 2013: 565-572 - 2012
- [j12]Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld:
M-Idempotent and Self-Dual Morphological Filters. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 805-813 (2012) - [j11]Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld:
Methods for Optimal Intervention in Gene Regulatory Networks [Applications Corner]. IEEE Signal Process. Mag. 29(1): 158-163 (2012) - [c18]Ghulam Rasool, Nidhal Bouaynaya:
Inference of time-varying gene networks using constrained and smoothed Kalman filtering. GENSiPS 2012: 172-175 - [c17]Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain:
Particle filters and beamforming for EEG source estimation. IJCNN 2012: 1-8 - [c16]Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal:
Muscle activity detection from myoelectric signals based on the AR-GARCH model. SSP 2012: 420-423 - [c15]Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld:
Inference of genetic regulatory networks using regularized likelihood with covariance estimation. SSP 2012: 560-563 - 2011
- [j10]Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld:
Inverse perturbation for optimal intervention in gene regulatory networks. Bioinform. 27(1): 103-110 (2011) - [j9]Liuling Gong, Nidhal Bouaynaya, Dan Schonfeld:
Information-Theoretic Model of Evolution over Protein Communication Channel. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 143-151 (2011) - [c14]Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld:
Robustness of inverse perturbation for discrete event control. EMBC 2011: 2422-2425 - [c13]Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg:
Clustering gene expression data using probabilistic non-negative matrix factorization. GENSiPS 2011: 143-146 - [c12]Nidhal Bouaynaya, Mohammed Rasheed, Roman Shterenberg, Dan Schonfeld:
Intervention in general topology gene regulatory networks. GENSiPS 2011: 222-225 - [c11]Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan:
Bit Error Rate Performance of Linear Companding Transforms for PAPR Reduction in OFDM Systems. GLOBECOM 2011: 1-5 - [c10]Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan:
On the performance of linear and nonlinear companding transforms in OFDM systems. WTS 2011: 1-5 - 2010
- [c9]Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld:
Optimal perturbation control of gene regulatory networks. GENSiPS 2010: 1-4 - [c8]Yasir Rahmatallah, Nidhal Bouaynaya, Seshadri Mohan:
ARMA companding scheme with improved symbol error rate for PAPR reduction in OFDM systems. WTS 2010: 1-6
2000 – 2009
- 2009
- [j8]Nidhal Bouaynaya, Dan Schonfeld:
On the Optimality of Motion-Based Particle Filtering. IEEE Trans. Circuits Syst. Video Technol. 19(7): 1068-1072 (2009) - [c7]Nidhal Bouaynaya, Dan Schonfeld, Radhakrishnan Nagarajan:
Analysis of temporal gene expression profiles using time-dependent MUSIC algorithm. GENSiPS 2009: 1-4 - [c6]Nidhal Bouaynaya, Dan Schonfeld:
Adaptive mathematical morphology: A unified representation theory. ICIP 2009: 2265-2268 - [i1]Nidhal Bouaynaya, Jerzy S. Zielinski, Dan Schonfeld:
Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification. CoRR abs/0906.3722 (2009) - 2008
- [j7]Jerzy S. Zielinski, Nidhal Bouaynaya, Dan Schonfeld, William D. O'Neill:
Time-dependent ARMA modeling of genomic sequences. BMC Bioinform. 9(S-9) (2008) - [j6]Nidhal Bouaynaya, Dan Schonfeld:
Nonstationary Analysis of Coding and Noncoding Regions in Nucleotide Sequences. IEEE J. Sel. Top. Signal Process. 2(3): 357-364 (2008) - [j5]Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld:
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 823-836 (2008) - [j4]Nidhal Bouaynaya, Dan Schonfeld:
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 837-850 (2008) - 2007
- [j3]Nidhal Bouaynaya, Dan Schonfeld:
Protein Communication System: Evolution and Genomic Structure. Algorithmica 48(4): 375-397 (2007) - 2006
- [j2]Dan Schonfeld, Nidhal Bouaynaya:
A new method for multidimensional optimization and its application in image and video processing. IEEE Signal Process. Lett. 13(8): 485-488 (2006) - [j1]Nidhal Bouaynaya, Mohammed Charif-Chefchaouni, Dan Schonfeld:
Spatially Variant Morphological Restoration and Skeleton Representation. IEEE Trans. Image Process. 15(11): 3579-3591 (2006) - [c5]Nidhal Bouaynaya, Dan Schonfeld:
Biological Evolution: Distribution and Convergence Analysis of Amino Acids. EMBC 2006: 2045-2048 - [c4]Nidhal Bouaynaya, Dan Schonfeld:
The Genomic Structure: Proof of the Role of Non-Coding DNA. EMBC 2006: 4544-4547 - 2005
- [c3]Nidhal Bouaynaya, Dan Schonfeld:
A complete system for head tracking using motion-based particle filter and randomly perturbed active contour. Electronic Imaging: Image and Video Communications and Processing 2005 - [c2]Nidhal Bouaynaya, Wei Qu, Dan Schonfeld:
An Online Motion-Based Particle Filter for Head Tracking Applications. ICASSP (2) 2005: 225-228 - [c1]Wei Qu, Nidhal Bouaynaya, Dan Schonfeld:
Automatic Multi-Head Detection and Tracking System using A Novel Detection-Based Particle Filter and Data Fusion. ICASSP (2) 2005: 661-664
Coauthor Index
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