Zobrazeno 1 - 10
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pro vyhledávání: '"A Asilian"'
As the interest in multi- and many-objective optimization algorithms grows, the performance comparison of these algorithms becomes increasingly important. A large number of performance indicators for multi-objective optimization algorithms have been
Externí odkaz:
http://arxiv.org/abs/2411.17999
Feature selection is a crucial step in machine learning, especially for high-dimensional datasets, where irrelevant and redundant features can degrade model performance and increase computational costs. This paper proposes a novel large-scale multi-o
Externí odkaz:
http://arxiv.org/abs/2410.21293
Autor:
Miyandoab, Sevil Zanjani, Rahnamayan, Shahryar, Bidgoli, Azam Asilian, Ebrahimi, Sevda, Makrehchi, Masoud
Publikováno v:
S. Z. Miyandoab, S. Rahnamayan, A. A. Bidgoli, S. Ebrahimi, and M. Makrehchi, "Enhancing Diversity in Multi-Objective Feature Selection," 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8
Feature selection plays a pivotal role in the data preprocessing and model-building pipeline, significantly enhancing model performance, interpretability, and resource efficiency across diverse domains. In population-based optimization methods, the g
Externí odkaz:
http://arxiv.org/abs/2407.17795
Autor:
Rokhsatyazdi, Ehsan, Rahnamayan, Shahryar, Miyandoab, Sevil Zanjani, Bidgoli, Azam Asilian, Tizhoosh, H. R.
Publikováno v:
2023 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1540-1546. IEEE, 2023
Training Artificial Neural Networks poses a challenging and critical problem in machine learning. Despite the effectiveness of gradient-based learning methods, such as Stochastic Gradient Descent (SGD), in training neural networks, they do have sever
Externí odkaz:
http://arxiv.org/abs/2402.12646
Publikováno v:
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3868-3875. IEEE, 2023
Feature selection is an expensive challenging task in machine learning and data mining aimed at removing irrelevant and redundant features. This contributes to an improvement in classification accuracy, as well as the budget and memory requirements f
Externí odkaz:
http://arxiv.org/abs/2402.12625
Publikováno v:
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4176-4183. IEEE, 2023
A supervised feature selection method selects an appropriate but concise set of features to differentiate classes, which is highly expensive for large-scale datasets. Therefore, feature selection should aim at both minimizing the number of selected f
Externí odkaz:
http://arxiv.org/abs/2402.12616
Recently, deep learning has started to play an essential role in healthcare applications, including image search in digital pathology. Despite the recent progress in computer vision, significant issues remain for image searching in histopathology arc
Externí odkaz:
http://arxiv.org/abs/2304.08498
Autor:
Bidgoli, Azam Asilian, Rahnamayan, Shahryar, Dehkharghanian, Taher, Riasatian, Abtin, Tizhoosh, H. R.
Publikováno v:
IEEE Transactions on Evolutionary Computation, vol. 27, no. 1, pp. 52-66, Feb. 2023
One of the main obstacles of adopting digital pathology is the challenge of efficient processing of hyperdimensional digitized biopsy samples, called whole slide images (WSIs). Exploiting deep learning and introducing compact WSI representations are
Externí odkaz:
http://arxiv.org/abs/2303.00943
Autor:
Javad Sajedifar, Seyyed Bagher Mortazavi, Hasan Asilian Mahabadi, Ali Khavanin, Mohammad Sharif Hosseini
Publikováno v:
Results in Engineering, Vol 25, Iss , Pp 103621- (2025)
Mixing is a critical factor in chemical reaction engineering, particularly in the development of new catalysts for pollutant removal, such as NOx storage reduction catalysts. Comprehensive performance evaluation in laboratory experiments requires hig
Externí odkaz:
https://doaj.org/article/d968932ef38e443e9cdedc7774f92254
Publikováno v:
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, Vol 12, Iss 3, Pp 51-57 (2004)
Introduction: Auto – immune disorders have been implicated as a cause for chronic uricaria and/ or angioedema and thyroid autoimmunity has been increasingly introduced to be associated with that. This study explores the association of thyroid autoi
Externí odkaz:
https://doaj.org/article/8932b683127d440aba1f7af4639ec9e5