Publications

Selected Recent Publications.

• ML Tlachac, Adam Sargent, Ermal Toto, Randy Paffenroth, Elke Rundensteiner. Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. 19th IEEE International Conference on Machine Learning and Applications.
• Ermal Toto, ML Tlachac, Francis (Lee) Stevens, Elke Rundensteiner. Audio-based Depression Screening using Sliding Window Sub-clip Pooling. 19th IEEE International Conference on Machine Learning and Applications.
• Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke Rundensteiner and Xiangnan Kong, A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events, EMNLP 2020, (Findings of EMNLP).
• Caitlin Kuhlman and Elke Rundensteiner. Rank Aggregation Algorithms for Fair Consensus. VLDB 2020.
• Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong and Elke Rundensteiner. Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? ACL 2020.
• Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke Rundensteiner. Recurrent Halting Chain for Early Multi-label Classifier. KDD 2020.
• Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, and Elke Rundensteiner. Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC 2020.
• ML Tlachac and Elke Rundensteiner, Screening for Depression with Retrospectively Harvested Private versus Public Text. IEEE Journal of Biomedical and Health Informatics (J-BHI), 2020.