Victor S. Batista

According to our database, Victor S. Batista authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of six.

2024

ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation.

Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, Victor S. Batista

J. Chem. Inf. Model., 2024

DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesis.

Yu Shee, Haote Li, Anton Morgunov, Victor S. Batista

CoRR, 2024

CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability.

Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista

CoRR, 2024

2023

Quantum convolutional neural networks for multi-channel supervised learning.

Anthony M. Smaldone, Gregory W. Kyro, Victor S. Batista

Quantum Mach. Intell., December, 2023

HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction.

Gregory W. Kyro, Rafael I. Brent, Victor S. Batista

J. Chem. Inf. Model., April, 2023

The landscape of computational approaches for artificial photosynthesis.

Ke R. Yang, Gregory W. Kyro, Victor S. Batista

Nat. Comput. Sci., 2023

Kernel-Elastic Autoencoder for Molecular Design.

Haote Li, Yu Shee, Brandon Allen, Federica Maschietto, Victor S. Batista

CoRR, 2023