Nicholas Aksamit

According to our database, Nicholas Aksamit authored at least 4 papers between 2022 and 2025.

Collaborative distances:

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

2025

SMORE-DRL: Scalable Multi-Objective Robust and Efficient Deep Reinforcement Learning for Molecular Optimization.

Aws Al Jumaily, Nicholas Aksamit, Yage Zhang, Mohammad Sajjad Ghaemi, Jinqiang Hou, Hsu Kiang Ooi, Yifeng Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery.

Nicholas Aksamit, Alain Tchagang, Yifeng Li, Beatrice M. Ombuki-Berman

BMC Bioinform., December, 2024

Integrating transformers and many-objective optimization for drug design.

Nicholas Aksamit, Jinqiang Hou, Yifeng Li, Beatrice M. Ombuki-Berman

BMC Bioinform., December, 2024

2022

Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization.

Mitchell Clark, Beatrice M. Ombuki-Berman, Nicholas Aksamit, Andries P. Engelbrecht

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022