Azam Asilian Bidgoli
Orcid: 0000-0001-7440-8234
According to our database1,
Azam Asilian Bidgoli
authored at least 42 papers
between 2019 and 2024.
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Bibliography
2024
Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images.
Comput. Oper. Res., February, 2024
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach.
CoRR, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Exploring Long-term Memory in Evolutionary Multi-objective Algorithms: A Case Study with NSGA-III.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
2023
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images.
IEEE Trans. Evol. Comput., February, 2023
Ranking loss and sequestering learning for reducing image search bias in histopathology.
Appl. Soft Comput., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework.
IEEE Trans. Geosci. Remote. Sens., 2022
A comprehensive investigation on novel center-based sampling for large-scale global optimization.
Swarm Evol. Comput., 2022
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology.
Artif. Intell. Medicine, 2022
Appl. Intell., 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
A novel binary many-objective feature selection algorithm for multi-label data classification.
Int. J. Mach. Learn. Cybern., 2021
Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection.
Inf. Sci., 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
An evolutionary decomposition-based multi-objective feature selection for multi-label classification.
PeerJ Comput. Sci., 2020
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms.
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
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 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 Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features.
Proceedings of the 14th International Conference on Computer Science & Education, 2019
Proposing a Pareto-VIKOR Ranking Method for Enhancing Parallel Coordinates Visualization.
Proceedings of the 14th International Conference on Computer Science & Education, 2019
Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019