Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining. - Jidapa Thadajarassiri; Cansu Sen; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (BHI, 2019)

Learning Similarity-Preserving Meta-Embedding for Text Mining. - Jidapa Thadajarassiri; Cansu Sen; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (IEEE BigData, 2020)

Time-Aware Transformer-based Network for Clinical Notes Series Prediction. - Dongyu Zhang; Jidapa Thadajarassiri; Cansu Sen; Elke A. Rundensteiner (MLHC, 2020)

Semi-Supervised Knowledge Amalgamation for Sequence Classification. - Jidapa Thadajarassiri; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (AAAI, 2021)

Human-like Explanation for Text Classification With Limited Attention Supervision. - Dongyu Zhang; Cansu Sen; Jidapa Thadajarassiri; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (IEEE BigData, 2021)

Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. - M. L. Tlachac; Walter Gerych; Kratika Agrawal; Benjamin Litterer; Nicholas Jurovich; Saitheeraj Thatigotla; Jidapa Thadajarassiri; Elke A. Rundensteiner (IEEE Big Data, 2022)

Stop&Hop: Early Classification of Irregular Time Series. - Thomas Hartvigsen; Walter Gerych; Jidapa Thadajarassiri; Xiangnan Kong; Elke A. Rundensteiner (CIKM, 2022)

Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. - Jidapa Thadajarassiri; Thomas Hartvigsen; Walter Gerych; Xiangnan Kong; Elke A. Rundensteiner (AAAI, 2023)

Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks. - Thomas Hartvigsen; Jidapa Thadajarassiri; Xiangnan Kong; Elke A. Rundensteiner (CoRR, 2023)

Amalgamating Multi-Task Models with Heterogeneous Architectures. - Jidapa Thadajarassiri; Walter Gerych; Xiangnan Kong; Elke A. Rundensteiner (AAAI, 2024)