| DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior P Trirat, JG Lee Proceedings of the Web Conference 2021, 1146-1156, 2021 | 17 | 2021 |
| MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction P Trirat, S Yoon, JG Lee IEEE Transactions on Intelligent Transportation Systems 24 (4), 3779-3794, 2023 | 8 | 2023 |
| IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms P Trirat, S Noree, MY Yi Proceedings of The 13th International Conference on Educational Data Mining …, 2020 | 7 | 2020 |
| CEP-Wizard: Automatic deployment of distributed complex event processing Y Shin, S Yoon, P Trirat, JG Lee 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2004-2007, 2019 | 5 | 2019 |
| Universal Time-Series Representation Learning: A Survey P Trirat, Y Shin, J Kang, Y Nam, J Na, M Bae, J Kim, B Kim, JG Lee arXiv preprint arXiv:2401.03717, 2024 | 2 | 2024 |
| Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses Y Nam, P Trirat, T Kim, Y Lee, JG Lee Proceedings of the European Conference on Machine Learning and Principles …, 2023 | 2 | 2023 |
| AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series P Trirat, Y Nam, T Kim, JG Lee Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence …, 2023 | 1 | 2023 |
| Experimental Analysis of the Effect of Autoencoder Architectures on Time Series Representation Learning P Trirat, M Kim, JG Lee Korea Computer Congress, 842-844, 2020 | 1 | 2020 |
| Interpretable Relation Prediction of Undirected Hypergraphs with Dynamic Bipartite Graphs J Na, J Kim, P Trirat, J Park, S Park, K Yu, JG Lee Korea Computer Congress, 911-913, 2023 | | 2023 |
| Generating a Machine Learning Model with a Few Sentences P Trirat, Y Shin, S Kim, M Kim Korea Software Congress, 688-690, 2021 | | 2021 |
Jae-Gil LeeProfessor, School of Computing, KAISTVerified email at kaist.ac.kr
