Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO. - Amir Nakib; Yann Cooren; Hamouche Oulhadj; Patrick Siarry (Artificial Evolution, 2007)

Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm. - Yann Cooren; Amir Nakib; Patrick Siarry (LION, 2007)

Microscopic Image Segmentation with Two-dimensional Exponential Entropy Based on Hybrid Microcanonical Annealing. - Amir Nakib; Hamouche Oulhadj; Patrick Siarry (MVA, 2007)

Image histogram thresholding based on multiobjective optimization. - Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Signal Process., 2007)

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). - Amir Nakib (2007)

Non-supervised image segmentation based on multiobjective optimization. - Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Pattern Recognit. Lett., 2008)

Performance Analysis of MADO Dynamic Optimization Algorithm. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (ISDA, 2009)

Fractional differentiation and non-Pareto multiobjective optimization for image thresholding. - Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Eng. Appl. Artif. Intell., 2009)

A thresholding method based on two-dimensional fractional differentiation. - Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Image Vis. Comput., 2009)

Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI. - Amir Nakib; Fazia Aiboud; Jérôme Hodel; Patrick Siarry; Philippe Decq (Image Processing, 2010)

Image thresholding based on Pareto multiobjective optimization. - Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Eng. Appl. Artif. Intell., 2010)

A New Multiagent Algorithm for Dynamic Continuous Optimization. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Int. J. Appl. Metaheuristic Comput., 2010)

Bone Surface Segmentation in Ultrasound Images: Application in Computer Assisted Intramedullary Nailing of the Tibia Shaft. - Agnès Masson-Sibut; Eric Petit 001; François Leitner; Julien Normand; Amir Nakib; Jean-Baptiste Pinzuti (MIAD, 2011)

Brain cine MRI segmentation based on a multiagent algorithm for dynamic continuous optimization. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (IEEE Congress on Evolutionary Computation, 2011)

Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images. - Agnès Masson-Sibut; Amir Nakib; Eric Petit 001; François Leitner (MLMI, 2011)

Indoor localization method based on RTT and AOA using coordinates clustering. - Mustapha Dakkak; Amir Nakib; Boubaker Daachi; Patrick Siarry; Jacques Lemoine (Comput. Networks, 2011)

A Dynamic Multi-Agent Algorithm applied to challenging benchmark problems. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (IEEE Congress on Evolutionary Computation, 2012)

Optimal fractional filter for image segmentation. - Amir Nakib; Y. Schulze; Eric Petit 001 (Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications, 2012)

Hybrid Differential Evolution Using Low-Discrepancy Sequences for Image Segmentation. - Amir Nakib; Boubaker Daachi; Patrick Siarry (IPDPS Workshops, 2012)

On resource allocation strategies in managed peerassisted VOD streaming systems. - Thibaud Rohmer; Abdelhamid Nafaa; Amir Nakib (ISCC, 2012)

Brain Cine-MRI Sequences Registration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (LION, 2012)

Mobile indoor location based on fractional differentiation. - Mustapha Dakkak; Amir Nakib; Boubaker Daachi; Patrick Siarry; Jacques Lemoine (WCNC, 2012)

A framework for analysis of brain cine MR sequences. - Amir Nakib; Patrick Siarry; Philippe Decq (Comput. Medical Imaging Graph., 2012)

An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy. - Amitava Chatterjee; Patrick Siarry; Amir Nakib; Raphaël Blanc (Eng. Appl. Artif. Intell., 2012)

PSO-2S Optimization Algorithm for Brain MRI Segmentation. - Abbas El Dor; Julien Lepagnot; Amir Nakib; Patrick Siarry (ICGEC, 2013)

Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphology. - T. A. Nguyen; Alice Dufour; Olena Tankyevych; Amir Nakib; Eric Petit 001; Hugues Talbot; Nicolas Passat (ICIP, 2013)

Adaptive Peer Selection Strategy in P2P-VoD Systems Based on Dynamic Metaheuristic. - Thibaud Rohmer; Amir Nakib; Julien Lepagnot; Abdelhamid Nafaa (ICPADS, 2013)

Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid. - Boussaad Ismail; Amir Nakib; Frederic Heliodore; Serge Poullain; Patrick Siarry (IPDPS Workshops, 2013)

Optimal Peer Selection Strategy in P2P-VoD Systems Using Dynamic Evolution Strategy. - Thibaud Rohmer; Amir Nakib; Abdelhamid Nafaa (IPDPS Workshops, 2013)

Path planning for redundant manipulators using metaheuristic for bilevel optimization and maximum of manipulability. - Riad Menasri; Amir Nakib; Hamouche Oulhadj; Boubaker Daachi; Patrick Siarry; Gaétan Hains (ROBIO, 2013)

A multiple local search algorithm for continuous dynamic optimization. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (J. Heuristics, 2013)

Elastic Registration of Brain Cine-MRI Sequences Using MLSDO Dynamic Optimization Algorithm. - Julien Lepagnot; Amir Nakib; Hamouche Oulhadj; Patrick Siarry (Metaheuristics for Dynamic Optimization, 2013)

Performance Analysis of Dynamic Optimization Algorithms. - Amir Nakib; Patrick Siarry (Metaheuristics for Dynamic Optimization, 2013)

Smooth Trajectory Planning for Robot Using Particle Swarm Optimization. - Riad Menasri; Hamouche Oulhadj; Boubaker Daachi; Amir Nakib; Patrick Siarry (ICSIBO, 2014)

Hybrid Metaheuristic for Annual Hydropower Generation Optimization. - Amir Nakib; El-Ghazali Talbi; A. Fuser (IPDPS Workshops, 2014)

Multi-Layer Perceptron Neural Network and nearest neighbor approaches for indoor localization. - Mustapha Dakkak; Boubaker Daachi; Amir Nakib; Patrick Siarry (SMC, 2014)

A genetic algorithm designed for robot trajectory planning. - Riad Menasri; Hamouche Oulhadj; Boubaker Daachi; Amir Nakib; Patrick Siarry (SMC, 2014)

Mobile Tracking Based on Fractional Integration. - Amir Nakib; Boubaker Daachi; Mustapha Dakkak; Patrick Siarry (IEEE Trans. Mob. Comput., 2014)

Priori Knowledge Guided Approach for Optimal Peer Selection in P2P VoD Systems. - Thibaud Rohmer; Amir Nakib; Abdelhamid Nafaa (IEEE Trans. Netw. Serv. Manag., 2014)

Bayesian Based Metaheuristic for Large Scale Continuous Optimization. - Amir Nakib; Bernard Thibault; Patrick Siarry (IPDPS Workshops, 2015)

Evidence theory for image segmentation using information from stochastic Watershed and Hessian filtering. - Chaza Chahine; Racha El-Berbari; Corinne Lagorre; Amir Nakib; Éric Petit 001 (IWSSIP, 2015)

A trajectory planning of redundant manipulators based on bilevel optimization. - Riad Menasri; Amir Nakib; Boubaker Daachi; Hamouche Oulhadj; Patrick Siarry (Appl. Math. Comput., 2015)

A learning-based resource allocation approach for P2P streaming systems. - Thibaud Rohmer; Amir Nakib; Abdelhamid Nafaa (IEEE Netw., 2015)

Hybrid Heuristics for Mapping Task Problem on Large Scale Heterogeneous Platforms. - Ania Kaci; Huy-Nam Nguyen; Amir Nakib; Patrick Siarry (IPDPS Workshops, 2016)

Medical image denoising via optimal implementation of non-local means on hybrid parallel architecture. - Tuan-Anh Nguyen; Amir Nakib; Huy-Nam Nguyen (Comput. Methods Programs Biomed., 2016)

Dynamic Learning Optimization Algorithm for P2P-VoD Systems. - Amir Nakib; Thibaud Rohmer; El-Ghazali Talbi; Abdelhamid Nafaa (HPCC/SmartCity/DSS, 2017)

Design of Metaheuristic Based on Machine Learning: A Unified Approach. - Amir Nakib; Mohamed Hilia; Frederic Heliodore; El-Ghazali Talbi (IPDPS Workshops, 2017)

Deterministic metaheuristic based on fractal decomposition for large-scale optimization. - Amir Nakib; S. Ouchraa; Nadiya Shvai; Leo Souquet; El-Ghazali Talbi (Appl. Soft Comput., 2017)

Real-time assessment of bone structure positions via ultrasound imaging. - Agnès Masson-Sibut; Amir Nakib (J. Real Time Image Process., 2017)

Lexicographic Approach Based on Evidence Theory for Blood Cell Image Segmentation. - Ismahan Baghli; Amir Nakib (Metaheuristics for Medicine and Biology, 2017)

Adaptive ECG Signal Filtering Using Bayesian Based Evolutionary Algorithm. - Thibaut Bernard; Amir Nakib (Metaheuristics for Medicine and Biology, 2017)

Microscopic Image Segmentation Based on Based Branch and Bound and Game Theory. - Amira Kouzana; Amir Nakib; Narjes Dogaz (Metaheuristics for Medicine and Biology, 2017)

Evidential Deformable Model for Contour Tracking. Application on Brain Cine MR Sequences. - Sarra Naffakhi; Amir Nakib; Atef Hamouda (Metaheuristics for Medicine and Biology, 2017)

Design of Static Metaheuristics for Medical Image Analysis. - Amir Nakib (Metaheuristics for Medicine and Biology, 2017)

Dynamic Metaheuristics for Brain Cine-MRI. - Amir Nakib (Metaheuristics for Medicine and Biology, 2017)

Medical Image Registration Based on Metaheuristics: A Comparative Study. - Amir Nakib; El-Ghazali Talbi; S. Corniglion (Metaheuristics for Medicine and Biology, 2017)

Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition. - Nadiya Shvai; Antoine Meicler; Abul Hasnat 001; Edouard Machover; Paul Maarek; Stephane Loquet; Amir Nakib (CEC, 2018)

New Vehicle Classification Method Based on Hybrid Classifiers. - Abul Hasnat 001; Nadiya Shvai; Antoine Meicler; Paul Maarek; Amir Nakib (ICIP, 2018)

Evolutionary algorithm with ensemble strategies based on maximum a posteriori for continuous optimization. - Asmaa Ghoumari; Amir Nakib; Patrick Siarry (Inf. Sci., 2018)

Application Guided Image Quality Estimation Based on Classification. - Abul Hasnat 001; Nadiya Shvai; Assan Sanogo; Marouan Khata; Arcadi Llanza; Antoine Meicler; Amir Nakib (ICIP, 2019)

Novel Context-aware Classification for Highly Accurate Automatic Toll Collection. - Marouan Khata; Nadiya Shvai; Abul Hasnat 001; Arcadi Llanza; Assan Sanogo; Antoine Meicler; Amir Nakib (IV, 2019)

Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition. - Leo Souquet; Amir Nakib (CoRR, 2019)

Graph based adaptive evolutionary algorithm for continuous optimization. - Asmaa Ghoumari; Amir Nakib (CoRR, 2019)

Parallel fractal decomposition based algorithm for big continuous optimization problems. - Amir Nakib; Leo Souquet; El-Ghazali Talbi (J. Parallel Distributed Comput., 2019)

Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (CEC, 2020)

HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (GECCO Companion, 2020)

Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint. - Antoine Meicler; Assan Sanogo; Nadiya Shvai; Arcadi Llanza; Abul Hasnat 001; Marouan Khata; Ed-Doughmi Younes; Alami Khalil; Yazid Lachachi; Amir Nakib (ICIAR (1), 2020)

Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems. - Léo Souquet; El-Ghazali Talbi; Amir Nakib (IEEE Access, 2020)

Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers. - Nadiya Shvai; Abul Hasnat 001; Antoine Meicler; Amir Nakib (IEEE Trans. Intell. Transp. Syst., 2020)

CNN Classifier's Robustness Enhancement when Preserving Privacy. - Abul Hasnat 001; Nadiya Shvai; Amir Nakib (ICIP, 2021)

Characters Recognition based on CNN-RNN architecture and Metaheuristic. - Fekhr Eddine Keddous; H.-N. Nguyen; Amir Nakib (IPDPS Workshops, 2021)

Robust license plate signatures matching based on multi-task learning approach. - Abul Hasnat 001; Amir Nakib (Neurocomputing, 2021)

H-polytope decomposition-based algorithm for continuous optimization. - Ghazaleh Khodabandelou; Amir Nakib (Inf. Sci., 2021)

Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (MIC, 2022)

DEvS: data distillation algorithm based on evolution strategy. - Nadiya Shvai; Arcadi Llanza; Abul Hasnat 001; Amir Nakib (GECCO Companion, 2022)

Optimal CNN-Hopfield Network for Pattern Recognition Based on a Genetic Algorithm. - Fekhr Eddine Keddous; Amir Nakib (Algorithms, 2022)

FFCNN: Fast FPGA based Acceleration for Convolution neural network inference. - Fekhr Eddine Keddous; H.-N. Nguyen; Amir Nakib (CoRR, 2022)

Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (CoRR, 2022)

Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (CoRR, 2022)

Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. - Arcadi Llanza; Fekhr Eddine Keddous; Nadiya Shvai; Amir Nakib (CEC, 2023)

Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Cosimo Distante; Abdelmalik Taleb-Ahmed (ICASSP Workshops, 2023)

Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. - Nadiya Shvai; Arcadi Llanza Carmona; Amir Nakib (ICCV, 2023)

Inference Acceleration of Deep Learning Classifiers Based on RNN. - Fekhr Eddine Keddous; Nadiya Shvai; Arcadi Llanza; Amir Nakib (ICIP, 2023)

Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification. - Soufiane Mallem; Amir Nakib (ICIP, 2023)

Metaheuristic based framework for Deep Neural Networks compression via DeepCABAC Arithmetic Coding and Fractional Filter. - Fekhr Eddine Keddous; Amir Nakib (IPDPS Workshops, 2023)

Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization. - Arcadi Llanza; Fekhr Eddine Keddous; Nadiya Shvai; Amir Nakib (SMC, 2023)

2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Cosimo Distante; Abdelmalik Taleb-Ahmed (CoRR, 2023)

Efficient Meta label correction based on Meta Learning and bi-level optimization. - Soufiane Mallem; Abul Hasnat 001; Amir Nakib (Eng. Appl. Artif. Intell., 2023)

Convolutional neural network architecture search based on fractal decomposition optimization algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (Expert Syst. Appl., 2023)

Black-Box Optimization Based Adaptive Image Anonymization. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (CEC, 2024)

License Plate Images Generation with Diffusion Models. - Mariia Shpir; Nadiya Shvai; Amir Nakib (ECAI, 2024)

YOLO based Object Detection Enhancement based on Quadratic Convolution. - Abdesselam Ferdi; Amir Nakib (FLLM, 2024)

Evolutionary Algorithm Based Adaptive Image Anonymization. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (GECCO Companion, 2024)

Multiobjective Based Strategy for Neural Architecture Search for Segmentation Task. - Abass Sana; Kaoutar Senhaji; Amir Nakib (IPDPS (Workshops), 2024)

Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Abdelmalik Taleb-Ahmed (Artif. Intell. Rev., 2024)

Quadratic Convolution-based YOLOv8 (Q-YOLOv8) for localization of intracranial hemorrhage from head CT images. - Abdesselam Ferdi; Said Benierbah; Amir Nakib; Youcef Ferdi; Abdelmalik Taleb-Ahmed (Biomed. Signal Process. Control., 2024)

Electrostatic Force Regularization for Neural Structured Pruning. - Abdesselam Ferdi; Abdelmalik Taleb-Ahmed; Amir Nakib; Youcef Ferdi (CoRR, 2024)

Vision transformers inference acceleration based on adaptive layer normalization. - Fekhr Eddine Keddous; Arcadi Llanza; Nadiya Shvai; Amir Nakib (Neurocomputing, 2024)

A 0-Shot Self-Attention Mechanism for Accelerated Diagonal Attention. - Viti Mario; Nadiya Shvai; Arcadi Llanza; Amir Nakib (WACV, 2025)

FDS: Fractal decomposition based direct search approach for continuous dynamic optimization. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (Inf. Sci., 2025)

Residual encoder-decoder based architecture for medical image denoising. - Abdesselam Ferdi; Said Benierbah; Amir Nakib (Multim. Tools Appl., 2025)