RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning T Wu, J Ortiz The 7th SIGKDD Workshop on Mining and Learning from Time Series, 2021 | 29 | 2021 |
Learning when agents can talk to drivers using the inagt dataset and multisensor fusion T Wu, N Martelaro, S Stent, J Ortiz, W Ju Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 15 | 2021 |
Towards adaptive anomaly detection in buildings with deep reinforcement learning T Wu, J Ortiz Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 11 | 2019 |
Human-robot commensality: Bite timing prediction for robot-assisted feeding in groups J Ondras, A Anwar, T Wu, F Bu, M Jung, JJ Ortiz, T Bhattacharjee 6th Annual Conference on Robot Learning, 2022 | 9 | 2022 |
Toward an adaptive situational awareness support system for urban driving T Wu, E Sachdeva, K Akash, X Wu, T Misu, J Ortiz 2022 IEEE Intelligent Vehicles Symposium (IV), 1073-1080, 2022 | 6 | 2022 |
The smart building privacy challenge T Wu, M Aldeer, T Chowdhury, A Haynes, F Nikseresht, ... Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 5 | 2021 |
(Social) Trouble on the Road: Understanding and Addressing Social Discomfort in Shared Car Trips A Bremers, N Friedman, S Lee, T Wu, E Laurier, M Jung, J Ortiz, W Ju arXiv preprint arXiv:2311.04456, 2023 | | 2023 |
System and method for providing a situational awareness based adaptive driver vehicle interface T Wu, E Sachdeva, K Akash, T Misu US Patent App. 17/696,232, 2023 | | 2023 |
Multi-sensor Fusion for In-cabin Vehicular Sensing Applications T Wu, NS Pargoo, J Ortiz Proceedings of the 22nd International Conference on Information Processing …, 2023 | | 2023 |
Novel Methods for Predicting Timing and Attention in Human-Agent Interaction Through Application-Driven Scenarios T Wu Rutgers The State University of New Jersey, School of Graduate Studies, 2023 | | 2023 |