7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Adaptive Tabu Dropout for Regularization of Deep Neural Network
Md. Tarek Hasan, Arifa Akter, Mohammad Nazmush Shamael +4
Dropout is an effective strategy for the regularization of deep neural networks. Applying tabu to the units that have been dropped in the recent epoch and retaining them for traini…
cs.LG2024
HyperQ-Opt: Q-learning for Hyperparameter Optimization
Md. Tarek Hasan
Hyperparameter optimization (HPO) is critical for enhancing the performance of machine learning models, yet it often involves a computationally intensive search across a large para…
cs.AI2023★ 7 cited
An Artificial Intelligence-based Framework to Achieve the Sustainable Development Goals in the Context of Bangladesh
Md. Tarek Hasan, Mohammad Nazmush Shamael, Arifa Akter +3
Sustainable development is a framework for achieving human development goals. It provides natural systems' ability to deliver natural resources and ecosystem services. Sustainable…