Ronilo Ragodos
Research Interests
- Artificial Intelligence
- Big Data
- Health care
- Information Science/Systems
- Philosophy of science
Selected Publications
An, B., Zhou, X., Zhou, Z., Ragodos, R., Xu, Z., & Luo, J. (2025). GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 39 (pp. 11427-11435). Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v39i11.33243
Gurung, R., Ragodos, R. J., Chen, C., Ma, H., & Wang, T. (2025). ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning. In Advances in Neural Information Processing Systems 39: Annual Conference on Neural Information Processing Systems 2025 (NeurIPS ’25). San Diego, CA, USA.
Ragodos, R., Zhou, X., Wang, T., Pan, Y., & Luo, J. (2025). ConPro-GAIL: Interpretable Policy Learning via Conceptual Prototyping for Human Spatiotemporal Decision Understanding. In ACM SIGSPATIAL Conference on Advances in Geographic Information Systems (SIGSPATIAL’25). Minneapolis, MN, USA.
Ragodos, R., & Wang, T. (2022). Disjunctive Rule Lists. INFORMS Journal on Computing, 34(6), 3259-3276. doi:10.1287/ijoc.2022.1242
Ragodos, R., & Wang, T. (2022). Code and Data Repository for Disjunctive Rule Lists. INFORMS Journal on Computing. doi:10.1287/ijoc.2022.1242.cd
Ragodos, R. J., Wang, T., Lin, Q., & Zhou, X. (2022). ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022 (NeurIPS ’22). New Orleans, LA, USA. Retrieved from http://papers.nips.cc/