Patara Trirat

According to our database, Patara Trirat authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML.

Patara Trirat, Wonyong Jeong, Sung Ju Hwang

CoRR, 2024

Universal Time-Series Representation Learning: A Survey.

Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee

CoRR, 2024

2023

MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction.

Patara Trirat, Susik Yoon, Jae-Gil Lee

IEEE Trans. Intell. Transp. Syst., April, 2023

Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses.

Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series.

Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior.

Patara Trirat, Jae-Gil Lee

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms.

Patara Trirat, Sakonporn Noree, Mun Yong Yi

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing.

Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019