AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2024
- ISMB 2024
Publications
22 results for Lam Hoang
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- MoML 2024
AutoPeptideML: An Automated Machine Learning Method for Building Peptide Bioactivity Predictors Leveraging Protein Language Models
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2023
- ICBG 2023
Attacking c-MARL More Effectively: A Data Driven Approach
- Nhan Pham
- Lam Nguyen
- et al.
- 2023
- ICDM 2023
Zshot: An Open-source Framework for Zero-Shot Learning
- Gabriele Picco
- Marcos Martínez Galindo
- et al.
- 2023
- ACL 2023
Envisioning a Human-AI collaborative system to transform policies into decision models
- Vanessa Lopez
- Gabriele Picco
- et al.
- 2022
- arXiv
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- Nhan Pham
- Lam Nguyen
- et al.
- 2022
- NeurIPS 2022
RASL: Relational Algebra in Scikit-Learn Pipelines
- Chirag Sahni
- Kiran Kate
- et al.
- 2021
- NeurIPS 2021
Neural Unification for Logic Reasoning over Natural Language
- Gabriele Picco
- Lam Thanh Hoang
- et al.
- 2021
- EMNLP 2021