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Azam Asilian Bidgoli
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2020 – today
- 2024
- [j11]Davood Zaman Farsa
, Shahryar Rahnamayan, Azam Asilian Bidgoli, Hamid R. Tizhoosh
Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images. Comput. Oper. Res. 162: 106483 (2024) - [c27]Farnaz Kheiri, Azam Asilian Bidgoli, Masoud Makrehchi, Shahryar Rahnamayan:
Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences. CEC 2024: 1-8 - [c26]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-Objective Feature Selection. CEC 2024: 1-8 - [c25]Ananda Sutradhar, Azam Asilian Bidgoli, Shahryar Rahnamayan:
COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals. CEC 2024: 1-8 - [i8]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Multi-objective Binary Coordinate Search for Feature Selection. CoRR abs/2402.12616 (2024) - [i7]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Compact NSGA-II for Multi-objective Feature Selection. CoRR abs/2402.12625 (2024) - [i6]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. CoRR abs/2402.12646 (2024) - [i5]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-objective Feature Selection. CoRR abs/2407.17795 (2024) - 2023
- [j10]Pooria Mazaheri, Azam Asilian Bidgoli
Ranking loss and sequestering learning for reducing image search bias in histopathology. Appl. Soft Comput. 142: 110346 (2023) - [j9]Azam Asilian Bidgoli
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. IEEE Trans. Evol. Comput. 27(1): 52-66 (2023) - [c24]Farzaneh Nikbakhtsarvestani
Multi-Objective Coordinate Search Optimization. CEC 2023: 1-9 - [c23]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Compact NSGA-II for Multi-objective Feature Selection. SMC 2023: 3868-3875 - [c22]Vida Gharavian, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
A Pairwise Surrogate Model using GNN for Evolutionary Optimization. SMC 2023: 3996-4002 - [c21]Rasa Khosrowshahli, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Self-Supervised Learning Using Noisy-Latent Augmentation. SMC 2023: 4170-4175 - [c20]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Multi-Objective Binary Coordinate Search for Feature Selection. SMC 2023: 4176-4183 - [c19]Sevda Ebrahimi, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Opposition-Based Crossover Operation for Differential Evolution Algorithm. SSCI 2023: 965-971 - [c18]Hamidreza Rouzegar, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. SSCI 2023: 1120-1125 - [c17]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. SSCI 2023: 1540-1546 - [i4]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. CoRR abs/2303.00943 (2023) - [i3]Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology. CoRR abs/2304.08498 (2023) - 2022
- [j8]Kyle Robert Harrison
Image-based benchmarking and visualization for large-scale global optimization. Appl. Intell. 52(4): 4161-4191 (2022) - [j7]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. Artif. Intell. Medicine 132: 102368 (2022) - [j6]Hanan Hiba
A comprehensive investigation on novel center-based sampling for large-scale global optimization. Swarm Evol. Comput. 73: 101105 (2022) - [j5]Majid Seydgar
Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c16]Rasa Khosrowshahli, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Clustering Center-based Differential Evolution. CEC 2022: 1-8 - 2021
- [j4]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. Inf. Sci. 547: 1-17 (2021) - [j3]Azam Asilian Bidgoli
A novel binary many-objective feature selection algorithm for multi-label data classification. Int. J. Mach. Learn. Cybern. 12(7): 2041-2057 (2021) - [c15]Azam Asilian Bidgoli, Shahryar Rahnamayan:
Memetic Differential Evolution Using Coordinate Descent. CEC 2021: 359-366 - [c14]Davood Zaman Farsa, Azam Asilian Bidgoli, Ehsan Rokhsat-Yazdi, Shahryar Rahnamayan:
Population-based coordinate descent algorithm with majority voting. GECCO Companion 2021: 1283-1289 - 2020
- [j2]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
An evolutionary decomposition-based multi-objective feature selection for multi-label classification. PeerJ Comput. Sci. 6: e261 (2020) - [c13]Azam Asilian Bidgoli, Shahryar Rahnamayan:
A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms. CEC 2020: 1-9 - [c12]Azam Asilian Bidgoli, Steven Trumble, Shahryar Rahnamayan:
Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action. CEC 2020: 1-8 - [c11]Jonathan Gillett, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli:
A pareto front-based metric to identify major bitcoin networks influencers. GECCO Companion 2020: 1395-1401 - [c10]Berna Kiraz, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A Novel Collective Crossover Operator for Genetic Algorithms. SMC 2020: 4204-4209 - [i2]Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli:
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently. CoRR abs/2003.03676 (2020) - [i1]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. CoRR abs/2007.12332 (2020)
2010 – 2019
- 2019
- [j1]Seyed Jalaleddin Mousavirad
A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training. Int. J. Bio Inspired Comput. 14(4): 227-236 (2019) - [c9]Hanan Hiba, Azam Asilian Bidgoli, Amin Ibrahim, Shahryar Rahnamayan:
CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems. CEC 2019: 350-358 - [c8]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh
A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection. CEC 2019: 1588-1595 - [c7]Azam Asilian Bidgoli, Shahryar Rahnamayan, Sedigheh Mahdavi, Kalyanmoy Deb:
A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. CEC 2019: 2458-2465 - [c6]Azam Asilian Bidgoli
GDE4: The Generalized Differential Evolution with Ordered Mutation. EMO 2019: 101-113 - [c5]Azam Asilian Bidgoli
Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection. EMO 2019: 553-564 - [c4]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features. ICCSE 2019: 85-91 - [c3]Seyed Jalaleddin Mousavirad
Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization. ICCSE 2019: 394-400 - [c2]Khiria Aldwib, Azam Asilian Bidgoli, Shahryar Rahnamayan, Amin Ibrahim:
Proposing a Pareto-VIKOR Ranking Method for Enhancing Parallel Coordinates Visualization. ICCSE 2019: 895-902 - [c1]Seyed Jalaleddin Mousavirad
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. ISNN (1) 2019: 309-317
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