| Prediction of hospitalization due to heart diseases by supervised learning methods W Dai, TS Brisimi, WG Adams, T Mela, V Saligrama, IC Paschalidis International journal of medical informatics 84 (3), 189-197, 2015 | 180 | 2015 |
| Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach TS Brisimi, T Xu, T Wang, W Dai, WG Adams, IC Paschalidis Proceedings of the IEEE 106 (4), 690-707, 2018 | 98 | 2018 |
| Practical conditions for effectiveness of the universum learning V Cherkassky, S Dhar, W Dai IEEE Transactions on Neural Networks 22 (8), 1241-1255, 2011 | 54 | 2011 |
| Predicting diabetes-related hospitalizations based on electronic health records TS Brisimi, T Xu, T Wang, W Dai, IC Paschalidis Statistical methods in medical research 28 (12), 3667-3682, 2019 | 31 | 2019 |
| Empirical study of the Universum SVM learning for high-dimensional data V Cherkassky, W Dai International conference on artificial neural networks, 932-941, 2009 | 26 | 2009 |
| A joint sparse clustering and classification approach with applications to hospitalization prediction T Xu, TS Brisimi, T Wang, W Dai, IC Paschalidis 2016 IEEE 55th conference on decision and control (CDC), 4566-4571, 2016 | 12 | 2016 |
| Posture detection with body area networks I Paschalidis, W Dai, D Guo, Y Lin, K Li, B Li 6th International ICST Conference on Body Area Networks, 2012 | 9 | 2012 |
| Utilizing a recommendation system approach to determine electronic communication send times LIU Xinyue, J He, Z Yan, W Dai, A Pani US Patent 11,038,976, 2021 | 7 | 2021 |
| Utilizing a bayesian approach and multi-armed bandit algorithms to improve distribution timing of electronic communications J He, S Gu, Z Yan, W Dai, YH Kuo, A Pani US Patent 11,710,065, 2023 | 4 | 2023 |
| Formation detection with wireless sensor networks IC Paschalidis, W Dai, D Guo ACM Transactions on Sensor Networks (TOSN) 10 (4), 1-17, 2014 | 4 | 2014 |
| Utilizing a genetic algorithm in applying objective functions to determine distribution times for electronic communications L Zhang, J He, Z Yan, W Dai, A Pani US Patent 11,645,542, 2023 | 3 | 2023 |
| Detection and prediction problems with applications in personalized health care W Dai Boston University, 2015 | 2 | 2015 |
| Facilitating time zone prediction based on electronic communication data L Yu, W Dai, J He, HY Yang, Z Yan US Patent App. 17/509,885, 2023 | 1 | 2023 |
| Qualitative Analysis of Inter-Vehicle Relationship for Scenario Parsing W Dai, H Zhang, H Meng, X Wang 2007 IEEE Intelligent Transportation Systems Conference, 296-301, 2007 | 1 | 2007 |
| Multi-objective customer journey optimization L Zhang, J He, T Xu, J Bhandari, W Dai, Z Yan US Patent 11,961,109, 2024 | | 2024 |
| Actionable kpi-driven segmentation X Wu, Z Yan, YH Kuo, W Dai, P Bartik, A Pani US Patent App. 18/132,758, 2023 | | 2023 |
| Actionable KPI-driven segmentation X Wu, Z Yan, YH Kuo, W Dai, P Bartik, A Pani US Patent 11,651,383, 2023 | | 2023 |
| Multi-objective electronic communication frequency optimization L Zhang, L Yu, J He, Z Yan, W Dai US Patent App. 17/366,910, 2023 | | 2023 |
| Optimization of send time of messages LIU Xinyue, S Wu, C Liu, J He, Z Yan, W Dai, S Peng US Patent App. 17/664,601, 2022 | | 2022 |
| Optimization of send time of messages LIU Xinyue, S Wu, C Liu, J He, Z Yan, W Dai, S Peng US Patent 11,341,516, 2022 | | 2022 |
