Seyed Jalaleddin Mousavirad
Orcid: 0000-0001-8661-7578
According to our database1,
Seyed Jalaleddin Mousavirad
authored at least 71 papers
between 2017 and 2024.
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Bibliography
2024
Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing.
J. Softw. Evol. Process., May, 2024
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis.
Expert Syst. J. Knowl. Eng., April, 2024
Ensemble of loss functions to improve generalizability of deep metric learning methods.
Multim. Tools Appl., 2024
A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm.
Multim. Tools Appl., December, 2023
Appl. Soft Comput., July, 2023
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems.
New Gener. Comput., June, 2023
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding?
Knowl. Based Syst., 2023
Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development.
CoRR, 2023
A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development.
CoRR, 2023
A Cluster-Based Opposition Differential Evolution Algorithm Boosted by a Local Search for ECG Signal Classification.
CoRR, 2023
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm.
CoRR, 2023
Low-rank robust online distance/similarity learning based on the rescaled hinge loss.
Appl. Intell., 2023
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning.
IEEE Trans. Intell. Transp. Syst., 2022
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization.
Int. J. Mach. Learn. Cybern., 2022
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation.
Knowl. Based Syst., 2022
A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation.
Entropy, 2022
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022
A New Hybrid Method for Text Feature Selection Through Combination of Relative Discrimination Criterion and Ant Colony Optimization.
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022
Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm.
Expert Syst. Appl., 2021
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021
An LSTM-Based Plagiarism Detection via Attention Mechanism and a Population-Based Approach for Pre-training Parameters with Imbalanced Classes.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks.
Proceedings of the Applications of Evolutionary Computation, 2021
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently.
CoRR, 2020
Automatic clustering using a local search-based human mental search algorithm for image segmentation.
Appl. Soft Comput., 2020
Appl. Soft Comput., 2020
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
One-array Differential Evolution Algorithm with a Novel Replacement Strategy for Numerical Optimization.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
CenPSO: A Novel Center-based Particle Swarm Optimization Algorithm for Large-scale Optimization.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
High-dimensional multi-level image thresholding using self-organizing migrating algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training.
Int. J. Bio Inspired Comput., 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the 14th International Conference on Computer Science & Education, 2019
Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization.
Proceedings of the 14th International Conference on Computer Science & Education, 2019
A Benchmark of Population-Based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training.
Neural Comput. Appl., 2018
2017
Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms.
Evol. Intell., 2017
Appl. Intell., 2017