Amir Nakib

Orcid: 0000-0001-9620-9324

According to our database1, Amir Nakib authored at least 90 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes.
Artif. Intell. Rev., 2024

2023
Convolutional neural network architecture search based on fractal decomposition optimization algorithm.
Expert Syst. Appl., March, 2023

Efficient Meta label correction based on Meta Learning and bi-level optimization.
Eng. Appl. Artif. Intell., 2023

2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans.
CoRR, 2023

Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Metaheuristic based framework for Deep Neural Networks compression via DeepCABAC Arithmetic Coding and Fractional Filter.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Inference Acceleration of Deep Learning Classifiers Based on RNN.
Proceedings of the IEEE International Conference on Image Processing, 2023

Adaptive Image Anonymization in the Context of Image Classification with Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems.
CoRR, 2022

Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm.
CoRR, 2022

FFCNN: Fast FPGA based Acceleration for Convolution neural network inference.
CoRR, 2022

Optimal CNN-Hopfield Network for Pattern Recognition Based on a Genetic Algorithm.
Algorithms, 2022

DEvS: data distillation algorithm based on evolution strategy.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems.
Proceedings of the Metaheuristics - 14th International Conference, 2022

2021
H-polytope decomposition-based algorithm for continuous optimization.
Inf. Sci., 2021

Robust license plate signatures matching based on multi-task learning approach.
Neurocomputing, 2021

Characters Recognition based on CNN-RNN architecture and Metaheuristic.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

CNN Classifier's Robustness Enhancement when Preserving Privacy.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers.
IEEE Trans. Intell. Transp. Syst., 2020

Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems.
IEEE Access, 2020

Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Parallel fractal decomposition based algorithm for big continuous optimization problems.
J. Parallel Distributed Comput., 2019

Graph based adaptive evolutionary algorithm for continuous optimization.
CoRR, 2019

Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition.
CoRR, 2019

Novel Context-aware Classification for Highly Accurate Automatic Toll Collection.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Application Guided Image Quality Estimation Based on Classification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Evolutionary algorithm with ensemble strategies based on maximum a posteriori for continuous optimization.
Inf. Sci., 2018

New Vehicle Classification Method Based on Hybrid Classifiers.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Medical Image Registration Based on Metaheuristics: A Comparative Study.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Dynamic Metaheuristics for Brain Cine-MRI.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Design of Static Metaheuristics for Medical Image Analysis.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Evidential Deformable Model for Contour Tracking. Application on Brain Cine MR Sequences.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Microscopic Image Segmentation Based on Based Branch and Bound and Game Theory.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Adaptive ECG Signal Filtering Using Bayesian Based Evolutionary Algorithm.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Lexicographic Approach Based on Evidence Theory for Blood Cell Image Segmentation.
Proceedings of the Metaheuristics for Medicine and Biology, 2017

Real-time assessment of bone structure positions via ultrasound imaging.
J. Real Time Image Process., 2017

Deterministic metaheuristic based on fractal decomposition for large-scale optimization.
Appl. Soft Comput., 2017

Design of Metaheuristic Based on Machine Learning: A Unified Approach.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Dynamic Learning Optimization Algorithm for P2P-VoD Systems.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

2016
Medical image denoising via optimal implementation of non-local means on hybrid parallel architecture.
Comput. Methods Programs Biomed., 2016

Hybrid Heuristics for Mapping Task Problem on Large Scale Heterogeneous Platforms.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
A learning-based resource allocation approach for P2P streaming systems.
IEEE Netw., 2015

A trajectory planning of redundant manipulators based on bilevel optimization.
Appl. Math. Comput., 2015

Evidence theory for image segmentation using information from stochastic Watershed and Hessian filtering.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Bayesian Based Metaheuristic for Large Scale Continuous Optimization.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014
Priori Knowledge Guided Approach for Optimal Peer Selection in P2P VoD Systems.
IEEE Trans. Netw. Serv. Manag., 2014

Mobile Tracking Based on Fractional Integration.
IEEE Trans. Mob. Comput., 2014

A genetic algorithm designed for robot trajectory planning.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Multi-Layer Perceptron Neural Network and nearest neighbor approaches for indoor localization.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Hybrid Metaheuristic for Annual Hydropower Generation Optimization.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Smooth Trajectory Planning for Robot Using Particle Swarm Optimization.
Proceedings of the Swarm Intelligence Based Optimization - First International Conference, 2014

2013
Performance Analysis of Dynamic Optimization Algorithms.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Elastic Registration of Brain Cine-MRI Sequences Using MLSDO Dynamic Optimization Algorithm.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

A multiple local search algorithm for continuous dynamic optimization.
J. Heuristics, 2013

Path planning for redundant manipulators using metaheuristic for bilevel optimization and maximum of manipulability.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Optimal Peer Selection Strategy in P2P-VoD Systems Using Dynamic Evolution Strategy.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Adaptive Peer Selection Strategy in P2P-VoD Systems Based on Dynamic Metaheuristic.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphology.
Proceedings of the IEEE International Conference on Image Processing, 2013

PSO-2S Optimization Algorithm for Brain MRI Segmentation.
Proceedings of the Genetic and Evolutionary Computing, 2013

2012
An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy.
Eng. Appl. Artif. Intell., 2012

A framework for analysis of brain cine MR sequences.
Comput. Medical Imaging Graph., 2012

Mobile indoor location based on fractional differentiation.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Brain Cine-MRI Sequences Registration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

On resource allocation strategies in managed peerassisted VOD streaming systems.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

Hybrid Differential Evolution Using Low-Discrepancy Sequences for Image Segmentation.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Optimal fractional filter for image segmentation.
Proceedings of the Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 2012

A Dynamic Multi-Agent Algorithm applied to challenging benchmark problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Indoor localization method based on RTT and AOA using coordinates clustering.
Comput. Networks, 2011

Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Brain cine MRI segmentation based on a multiagent algorithm for dynamic continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Bone Surface Segmentation in Ultrasound Images: Application in Computer Assisted Intramedullary Nailing of the Tibia Shaft.
Proceedings of the MIAD 2011, 2011

2010
A New Multiagent Algorithm for Dynamic Continuous Optimization.
Int. J. Appl. Metaheuristic Comput., 2010

Image thresholding based on Pareto multiobjective optimization.
Eng. Appl. Artif. Intell., 2010

Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

2009
A thresholding method based on two-dimensional fractional differentiation.
Image Vis. Comput., 2009

Fractional differentiation and non-Pareto multiobjective optimization for image thresholding.
Eng. Appl. Artif. Intell., 2009

Performance Analysis of MADO Dynamic Optimization Algorithm.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
Non-supervised image segmentation based on multiobjective optimization.
Pattern Recognit. Lett., 2008

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).
PhD thesis, 2007

Image histogram thresholding based on multiobjective optimization.
Signal Process., 2007

Microscopic Image Segmentation with Two-dimensional Exponential Entropy Based on Hybrid Microcanonical Annealing.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm.
Proceedings of the Learning and Intelligent Optimization, Second International Conference, 2007

Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO.
Proceedings of the Artificial Evolution, 2007


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