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2020 – today
- 2024
[j29]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed:
Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Artif. Intell. Rev. 57(4): 90 (2024)- [j28]Abdesselam Ferdi
, Said Benierbah, Amir Nakib, Youcef Ferdi, Abdelmalik Taleb-Ahmed:
Quadratic Convolution-based YOLOv8 (Q-YOLOv8) for localization of intracranial hemorrhage from head CT images. Biomed. Signal Process. Control. 96: 106611 (2024) - [j27]Fekhr Eddine Keddous, Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Vision transformers inference acceleration based on adaptive layer normalization. Neurocomputing 610: 128524 (2024) - [c51]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Black-Box Optimization Based Adaptive Image Anonymization. CEC 2024: 1-8 - [c50]Mariia Shpir, Nadiya Shvai, Amir Nakib:
License Plate Images Generation with Diffusion Models. ECAI 2024: 4594-4601 - [c49]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Evolutionary Algorithm Based Adaptive Image Anonymization. GECCO Companion 2024: 683-686 - [c48]Abass Sana, Kaoutar Senhaji, Amir Nakib:
Multiobjective Based Strategy for Neural Architecture Search for Segmentation Task. IPDPS (Workshops) 2024: 947-955 - 2023
- [j26]Soufiane Mallem, Abul Hasnat, Amir Nakib:
Efficient Meta label correction based on Meta Learning and bi-level optimization. Eng. Appl. Artif. Intell. 117(Part): 105517 (2023) - [j25]Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
Convolutional neural network architecture search based on fractal decomposition optimization algorithm. Expert Syst. Appl. 213(Part C): 118947 (2023) - [c47]Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib:
Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. CEC 2023: 1-9 - [c46]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. ICASSP Workshops 2023: 1-5 - [c45]Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib:
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. ICCV 2023: 5051-5060 - [c44]Soufiane Mallem, Amir Nakib:
Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification. ICIP 2023: 107-115 - [c43]Fekhr Eddine Keddous, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
Inference Acceleration of Deep Learning Classifiers Based on RNN. ICIP 2023: 2450-2454 - [c42]Fekhr Eddine Keddous, Amir Nakib:
Metaheuristic based framework for Deep Neural Networks compression via DeepCABAC Arithmetic Coding and Fractional Filter. IPDPS Workshops 2023: 880-887 - [c41]Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib:
Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization. SMC 2023: 5084-5089 - [e4]Luca Di Gaspero, Paola Festa, Amir Nakib, Mario Pavone:
Metaheuristics - 14th International Conference, MIC 2022, Syracuse, Italy, July 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13838, Springer 2023, ISBN 978-3-031-26503-7 [contents] - [i6]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. CoRR abs/2303.08740 (2023) - 2022
- [j24]Fekhr Eddine Keddous, Amir Nakib:
Optimal CNN-Hopfield Network for Pattern Recognition Based on a Genetic Algorithm. Algorithms 15(1): 11 (2022) - [c40]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems. MIC 2022: 215-229 - [c39]Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Amir Nakib:
DEvS: data distillation algorithm based on evolution strategy. GECCO Companion 2022: 292-295 - [e3]Bernabé Dorronsoro, Mario Pavone, Amir Nakib, El-Ghazali Talbi:
Optimization and Learning - 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022, Proceedings. Communications in Computer and Information Science 1684, Springer 2022, ISBN 978-3-031-22038-8 [contents] - [i5]Fekhr Eddine Keddous, H.-N. Nguyen, Amir Nakib:
FFCNN: Fast FPGA based Acceleration for Convolution neural network inference. CoRR abs/2208.13250 (2022) - [i4]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm. CoRR abs/2209.11695 (2022) - [i3]Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems. CoRR abs/2210.15489 (2022) - 2021
- [j23]Abul Hasnat, Amir Nakib:
Robust license plate signatures matching based on multi-task learning approach. Neurocomputing 440: 58-71 (2021) - [j22]Ghazaleh Khodabandelou, Amir Nakib:
H-polytope decomposition-based algorithm for continuous optimization. Inf. Sci. 558: 50-75 (2021) - [c38]Abul Hasnat, Nadiya Shvai, Amir Nakib:
CNN Classifier's Robustness Enhancement when Preserving Privacy. ICIP 2021: 3887-3891 - [c37]Fekhr Eddine Keddous, H.-N. Nguyen, Amir Nakib:
Characters Recognition based on CNN-RNN architecture and Metaheuristic. IPDPS Workshops 2021: 500-507 - 2020
- [j21]Léo Souquet, El-Ghazali Talbi, Amir Nakib:
Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems. IEEE Access 8: 167604-167619 (2020) - [j20]Nadiya Shvai, Abul Hasnat, Antoine Meicler, Amir Nakib:
Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers. IEEE Trans. Intell. Transp. Syst. 21(3): 1288-1297 (2020) - [c36]Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. CEC 2020: 1-6 - [c35]Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. GECCO Companion 2020: 155-156 - [c34]Antoine Meicler, Assan Sanogo, Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Marouan Khata, Ed-Doughmi Younes, Alami Khalil, Yazid Lachachi, Amir Nakib:
Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint. ICIAR (1) 2020: 95-106
2010 – 2019
- 2019
- [j19]Amir Nakib, Leo Souquet, El-Ghazali Talbi:
Parallel fractal decomposition based algorithm for big continuous optimization problems. J. Parallel Distributed Comput. 133: 297-306 (2019) - [c33]Abul Hasnat, Nadiya Shvai, Assan Sanogo, Marouan Khata, Arcadi Llanza, Antoine Meicler, Amir Nakib:
Application Guided Image Quality Estimation Based on Classification. ICIP 2019: 549-553 - [c32]Marouan Khata, Nadiya Shvai, Abul Hasnat, Arcadi Llanza, Assan Sanogo, Antoine Meicler, Amir Nakib:
Novel Context-aware Classification for Highly Accurate Automatic Toll Collection. IV 2019: 1105-1110 - [i2]Leo Souquet, Amir Nakib:
Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition. CoRR abs/1908.02149 (2019) - [i1]Asmaa Ghoumari, Amir Nakib:
Graph based adaptive evolutionary algorithm for continuous optimization. CoRR abs/1908.08014 (2019) - 2018
- [j18]Asmaa Ghoumari, Amir Nakib, Patrick Siarry:
Evolutionary algorithm with ensemble strategies based on maximum a posteriori for continuous optimization. Inf. Sci. 460-461: 1-22 (2018) - [c31]Nadiya Shvai, Antoine Meicler, Abul Hasnat, Edouard Machover, Paul Maarek, Stephane Loquet, Amir Nakib:
Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition. CEC 2018: 1-8 - [c30]Abul Hasnat, Nadiya Shvai, Antoine Meicler, Paul Maarek, Amir Nakib:
New Vehicle Classification Method Based on Hybrid Classifiers. ICIP 2018: 3084-3088 - 2017
- [j17]Amir Nakib, S. Ouchraa, Nadiya Shvai, Leo Souquet, El-Ghazali Talbi:
Deterministic metaheuristic based on fractal decomposition for large-scale optimization. Appl. Soft Comput. 61: 468-485 (2017) - [j16]Agnès Masson-Sibut, Amir Nakib:
Real-time assessment of bone structure positions via ultrasound imaging. J. Real Time Image Process. 13(1): 135-145 (2017) - [c29]Amir Nakib, Thibaud Rohmer, El-Ghazali Talbi, Abdelhamid Nafaa:
Dynamic Learning Optimization Algorithm for P2P-VoD Systems. HPCC/SmartCity/DSS 2017: 388-395 - [c28]Amir Nakib, Mohamed Hilia, Frederic Heliodore, El-Ghazali Talbi:
Design of Metaheuristic Based on Machine Learning: A Unified Approach. IPDPS Workshops 2017: 510-518 - [p9]Amir Nakib:
Design of Static Metaheuristics for Medical Image Analysis. Metaheuristics for Medicine and Biology 2017: 1-22 - [p8]Sarra Naffakhi, Amir Nakib, Atef Hamouda:
Evidential Deformable Model for Contour Tracking. Application on Brain Cine MR Sequences. Metaheuristics for Medicine and Biology 2017: 75-107 - [p7]Amira Kouzana, Amir Nakib, Narjes Dogaz:
Microscopic Image Segmentation Based on Based Branch and Bound and Game Theory. Metaheuristics for Medicine and Biology 2017: 109-120 - [p6]Amir Nakib:
Dynamic Metaheuristics for Brain Cine-MRI. Metaheuristics for Medicine and Biology 2017: 121-135 - [p5]Ismahan Baghli, Amir Nakib:
Lexicographic Approach Based on Evidence Theory for Blood Cell Image Segmentation. Metaheuristics for Medicine and Biology 2017: 137-154 - [p4]Amir Nakib, El-Ghazali Talbi, S. Corniglion:
Medical Image Registration Based on Metaheuristics: A Comparative Study. Metaheuristics for Medicine and Biology 2017: 171-185 - [p3]Thibaut Bernard, Amir Nakib:
Adaptive ECG Signal Filtering Using Bayesian Based Evolutionary Algorithm. Metaheuristics for Medicine and Biology 2017: 187-211 - [e2]Amir Nakib, El-Ghazali Talbi:
Metaheuristics for Medicine and Biology. Studies in Computational Intelligence 704, 2017, ISBN 978-3-662-54426-6 [contents] - 2016
- [j15]Tuan-Anh Nguyen, Amir Nakib, Huy-Nam Nguyen:
Medical image denoising via optimal implementation of non-local means on hybrid parallel architecture. Comput. Methods Programs Biomed. 129: 29-39 (2016) - [c27]Ania Kaci, Huy-Nam Nguyen, Amir Nakib, Patrick Siarry:
Hybrid Heuristics for Mapping Task Problem on Large Scale Heterogeneous Platforms. IPDPS Workshops 2016: 809-816 - 2015
- [j14]Riad Menasri, Amir Nakib, Boubaker Daachi, Hamouche Oulhadj, Patrick Siarry:
A trajectory planning of redundant manipulators based on bilevel optimization. Appl. Math. Comput. 250: 934-947 (2015) - [j13]Thibaud Rohmer, Amir Nakib, Abdelhamid Nafaa:
A learning-based resource allocation approach for P2P streaming systems. IEEE Netw. 29(1): 4-11 (2015) - [c26]Amir Nakib, Bernard Thibault, Patrick Siarry:
Bayesian Based Metaheuristic for Large Scale Continuous Optimization. IPDPS Workshops 2015: 314-322 - [c25]Chaza Chahine, Racha El-Berbari, Corinne Lagorre, Amir Nakib, Éric Petit:
Evidence theory for image segmentation using information from stochastic Watershed and Hessian filtering. IWSSIP 2015: 141-144 - 2014
- [j12]Amir Nakib, Boubaker Daachi, Mustapha Dakkak, Patrick Siarry:
Mobile Tracking Based on Fractional Integration. IEEE Trans. Mob. Comput. 13(10): 2306-2319 (2014) - [j11]Thibaud Rohmer, Amir Nakib, Abdelhamid Nafaa:
Priori Knowledge Guided Approach for Optimal Peer Selection in P2P VoD Systems. IEEE Trans. Netw. Serv. Manag. 11(3): 350-362 (2014) - [c24]Riad Menasri, Hamouche Oulhadj, Boubaker Daachi, Amir Nakib, Patrick Siarry:
Smooth Trajectory Planning for Robot Using Particle Swarm Optimization. ICSIBO 2014: 50-59 - [c23]Amir Nakib, El-Ghazali Talbi, A. Fuser:
Hybrid Metaheuristic for Annual Hydropower Generation Optimization. IPDPS Workshops 2014: 412-419 - [c22]Riad Menasri, Hamouche Oulhadj, Boubaker Daachi, Amir Nakib, Patrick Siarry:
A genetic algorithm designed for robot trajectory planning. SMC 2014: 228-233 - [c21]Mustapha Dakkak, Boubaker Daachi, Amir Nakib, Patrick Siarry:
Multi-Layer Perceptron Neural Network and nearest neighbor approaches for indoor localization. SMC 2014: 1366-1373 - 2013
- [j10]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
A multiple local search algorithm for continuous dynamic optimization. J. Heuristics 19(1): 35-76 (2013) - [c20]Abbas El Dor, Julien Lepagnot, Amir Nakib, Patrick Siarry:
PSO-2S Optimization Algorithm for Brain MRI Segmentation. ICGEC 2013: 13-22 - [c19]T. A. Nguyen, Alice Dufour, Olena Tankyevych, Amir Nakib, Eric Petit, Hugues Talbot, Nicolas Passat:
Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphology. ICIP 2013: 1237-1241 - [c18]Thibaud Rohmer, Amir Nakib, Julien Lepagnot, Abdelhamid Nafaa:
Adaptive Peer Selection Strategy in P2P-VoD Systems Based on Dynamic Metaheuristic. ICPADS 2013: 436-437 - [c17]Boussaad Ismail, Amir Nakib, Frederic Heliodore, Serge Poullain, Patrick Siarry:
Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid. IPDPS Workshops 2013: 466-473 - [c16]Thibaud Rohmer, Amir Nakib, Abdelhamid Nafaa:
Optimal Peer Selection Strategy in P2P-VoD Systems Using Dynamic Evolution Strategy. IPDPS Workshops 2013: 474-481 - [c15]Riad Menasri, Amir Nakib, Hamouche Oulhadj, Boubaker Daachi, Patrick Siarry, Gaétan Hains:
Path planning for redundant manipulators using metaheuristic for bilevel optimization and maximum of manipulability. ROBIO 2013: 145-150 - [p2]Amir Nakib, Patrick Siarry:
Performance Analysis of Dynamic Optimization Algorithms. Metaheuristics for Dynamic Optimization 2013: 1-16 - [p1]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Elastic Registration of Brain Cine-MRI Sequences Using MLSDO Dynamic Optimization Algorithm. Metaheuristics for Dynamic Optimization 2013: 211-224 - [e1]Enrique Alba, Amir Nakib, Patrick Siarry:
Metaheuristics for Dynamic Optimization. Studies in Computational Intelligence 433, Springer 2013, ISBN 978-3-642-30664-8 [contents] - 2012
- [j9]Amir Nakib, Patrick Siarry, Philippe Decq:
A framework for analysis of brain cine MR sequences. Comput. Medical Imaging Graph. 36(2): 152-168 (2012) - [j8]Amitava Chatterjee, Patrick Siarry, Amir Nakib, Raphaël Blanc:
An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy. Eng. Appl. Artif. Intell. 25(8): 1698-1709 (2012) - [c14]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
A Dynamic Multi-Agent Algorithm applied to challenging benchmark problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c13]Amir Nakib, Y. Schulze, Eric Petit:
Optimal fractional filter for image segmentation. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 82950P - [c12]Amir Nakib, Boubaker Daachi, Patrick Siarry:
Hybrid Differential Evolution Using Low-Discrepancy Sequences for Image Segmentation. IPDPS Workshops 2012: 634-640 - [c11]Thibaud Rohmer, Abdelhamid Nafaa, Amir Nakib:
On resource allocation strategies in managed peerassisted VOD streaming systems. ISCC 2012: 551-558 - [c10]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Brain Cine-MRI Sequences Registration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm. LION 2012: 443-448 - [c9]Mustapha Dakkak, Amir Nakib, Boubaker Daachi, Patrick Siarry, Jacques Lemoine:
Mobile indoor location based on fractional differentiation. WCNC 2012: 2003-2008 - 2011
- [j7]Mustapha Dakkak, Amir Nakib, Boubaker Daachi, Patrick Siarry, Jacques Lemoine:
Indoor localization method based on RTT and AOA using coordinates clustering. Comput. Networks 55(8): 1794-1803 (2011) - [c8]Agnès Masson-Sibut, Eric Petit, François Leitner, Julien Normand, Amir Nakib, Jean-Baptiste Pinzuti:
Bone Surface Segmentation in Ultrasound Images: Application in Computer Assisted Intramedullary Nailing of the Tibia Shaft. MIAD 2011: 34-42 - [c7]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Brain cine MRI segmentation based on a multiagent algorithm for dynamic continuous optimization. IEEE Congress on Evolutionary Computation 2011: 1695-1702 - [c6]Agnès Masson-Sibut, Amir Nakib, Eric Petit, François Leitner:
Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images. MLMI 2011: 18-25 - 2010
- [j6]Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Image thresholding based on Pareto multiobjective optimization. Eng. Appl. Artif. Intell. 23(3): 313-320 (2010) - [j5]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
A New Multiagent Algorithm for Dynamic Continuous Optimization. Int. J. Appl. Metaheuristic Comput. 1(1): 16-38 (2010) - [c5]Amir Nakib, Fazia Aiboud, Jérôme Hodel, Patrick Siarry, Philippe Decq:
Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI. Medical Imaging: Image Processing 2010: 76232I
2000 – 2009
- 2009
- [j4]Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Fractional differentiation and non-Pareto multiobjective optimization for image thresholding. Eng. Appl. Artif. Intell. 22(2): 236-249 (2009) - [j3]Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
A thresholding method based on two-dimensional fractional differentiation. Image Vis. Comput. 27(9): 1343-1357 (2009) - [c4]Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Performance Analysis of MADO Dynamic Optimization Algorithm. ISDA 2009: 37-42 - 2008
- [j2]Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Non-supervised image segmentation based on multiobjective optimization. Pattern Recognit. Lett. 29(2): 161-172 (2008) - 2007
- [b1]Amir Nakib:
Conception de métaheuristiques d'optimisation pour la segmentation d'images. Application aux images biomédicales. (Design of new metaheuristics for image segmentation. Application on biomedical imaging). Paris 12 Val de Marne University, Créteil, France, 2007 - [j1]Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Image histogram thresholding based on multiobjective optimization. Signal Process. 87(11): 2516-2534 (2007) - [c3]Amir Nakib, Yann Cooren, Hamouche Oulhadj, Patrick Siarry:
Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO. Artificial Evolution 2007: 50-61 - [c2]Yann Cooren, Amir Nakib, Patrick Siarry:
Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm. LION 2007: 81-94 - [c1]Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
Microscopic Image Segmentation with Two-dimensional Exponential Entropy Based on Hybrid Microcanonical Annealing. MVA 2007: 420-423
Coauthor Index
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