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

COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Enhancing Diversity in Multi-Objective Feature Selection.
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

Exploring Common Patterns in Well-Known Metaheuristic Optimization Algorithms.
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

Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Training Artificial Neural Networks by Coordinate Search Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Opposition-Based Crossover Operation for Differential Evolution Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Multi-Objective Binary Coordinate Search for Feature Selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Compact NSGA-II for Multi-objective Feature Selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Self-Supervised Learning Using Noisy-Latent Augmentation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Pairwise Surrogate Model using GNN for Evolutionary Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Objective Coordinate Search Optimization.
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

Image-based benchmarking and visualization for large-scale global optimization.
Appl. Intell., 2022

Clustering Center-based Differential Evolution.
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

Population-based coordinate descent algorithm with majority voting.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Memetic Differential Evolution Using Coordinate Descent.
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

A Novel Collective Crossover Operator for Genetic Algorithms.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A pareto front-based metric to identify major bitcoin networks influencers.
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

GDE4: The Generalized Differential Evolution with Ordered Mutation.
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


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