Jidapa Thadajarassiri

Walter Gerych

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.

[BibT_eX]

[DOI]

Walter Gerych

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

2022

Stop&Hop: Early Classification of Irregular Time Series.

[BibT_eX]

[DOI]

Walter Gerych

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks.

[BibT_eX]

[DOI]

Saitheeraj Thatigotla

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Human-like Explanation for Text Classification With Limited Attention Supervision.

[BibT_eX]

[DOI]

Dongyu Zhang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Semi-Supervised Knowledge Amalgamation for Sequence Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Time-Aware Transformer-based Network for Clinical Notes Series Prediction.

[BibT_eX]

[DOI]

Dongyu Zhang

Proceedings of the Machine Learning for Healthcare Conference, 2020

Learning Similarity-Preserving Meta-Embedding for Text Mining.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining.

[BibT_eX]

[DOI]