Muhetaer Mukaidaisi

According to our database, Muhetaer Mukaidaisi authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Examining multi-objective deep reinforcement learning frameworks for molecular design.

Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li

Biosyst., October, 2023

2022

Deep Evolutionary Learning for Molecular Design.

Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain B. Tchagang, Yifeng Li

IEEE Comput. Intell. Mag., 2022

Adversarial deep evolutionary learning for drug design.

Sheriff Abouchekeir, Andrew Vu, Muhetaer Mukaidaisi, Karl Grantham, Alain B. Tchagang, Yifeng Li

Biosyst., 2022

Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design.

Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022