| Causal inference for event pairs in multivariate point processes T Gao, D Subramanian, D Bhattacharjya, X Shou, N Mattei, KP Bennett Advances in Neural Information Processing Systems 34, 17311-17324, 2021 | 10 | 2021 |
| Supervised mixture models for population health X Shou, G Mavroudeas, A New, K Arhin, JN Kuruzovich, M Magdon-Ismail, ... 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 6 | 2019 |
| Concurrent multi-label prediction in event streams X Shou, T Gao, D Subramanian, D Bhattacharjya, KP Bennett Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9820-9828, 2023 | 5 | 2023 |
| Influence-aware attention for multivariate temporal point processes X Shou, T Gao, D Subramanian, D Bhattacharjya, K Bennett Conference on Causal Learning and Reasoning, 499-517, 2023 | 3 | 2023 |
| Score-based learning of graphical event models with background knowledge augmentation D Bhattacharjya, T Gao, D Subramanian, X Shou Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12189 …, 2023 | 2 | 2023 |
| Predictive modeling for complex care management G Mavroudeas, N Neehal, X Shou, M Magdon-Ismail, JN Kuruzovich, ... 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 2 | 2021 |
| Supervised mixture of experts models for population health X Shou, G Mavroudeas, M Magdon-Ismail, J Figueroa, JN Kuruzovich, ... Methods 179, 101-110, 2020 | 2 | 2020 |
| Probabilistic attention-to-influence neural models for event sequences X Shou, D Bhattacharjya, T Gao, D Subramanian, O Hassanzadeh, ... International Conference on Machine Learning, 31657-31674, 2023 | 1 | 2023 |
| Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation X Shou, T Gao, D Subramanian, KP Bennett Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 1 | 2021 |
| Pairwise Causality Guided Transformers for Event Sequences X Shou, D Bhattacharjya, T Gao, D Subramanian, O Hassanzadeh, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Self-Supervised Contrastive Pre-Training for Multivariate Point Processes X Shou, D Subramanian, D Bhattacharjya, T Gao, KP Bennet arXiv preprint arXiv:2402.00987, 2024 | | 2024 |
| Learning from Event Sequences X Shou Rensselaer Polytechnic Institute, 2023 | | 2023 |
| Supervised similarity learning for covariate matching and treatment effect estimation via self-organizing maps D Subramanian, T Gao, X Shou, KP Bennett US Patent App. 17/348,492, 2022 | | 2022 |
| HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management G Mavroudeas, M Magdon-Ismail, X Shou, KP Bennett 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 316-323, 2022 | | 2022 |
| Event-former: A Self-supervised Learning Paradigm for Temporal Point Processes X Shou, D Subramanian, D Bhattacharjya, T Gao, K Bennett | | 2022 |
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
