Preprints
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
arXiv preprint [also @ NeurIPS 2022 Workshop on Robustness in Sequence Modeling (Spotlight talk)] pdf
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks
Thomas Hartvigsen, Jidapa Thadajarassiri, Xiangnan Kong, Elke Rundensteiner
arXiv preprint pdf
2023
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke Rundensteiner
AAAI, 2023
Algorithmic Fairness in Chest X-Ray Diagnosis: A Case Study
Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi
SERC, 2023 pdf
2022
Robust Recurrent Classifier Chains For Multi-Label Learning With Missing Labels
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner
CIKM, 2022. pdf
Dissecting In-the-Wild Stress from Multimodal Sensor Data
Sujay Nagaraj, Sarah Goodday, Thomas Hartvigsen, Adrien Boch, Luca Foschini, Marzyeh Ghassemi, Stephen Friend, Anna Goldenberg
Machine Learning for Health Symposium, 2022.
Recovering the Propensity Score from Biased Positive Unlabeled Data
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner
AAAI, 2022. Oral Spotlight. pdf
Positive Unlabeled Learning with a Sequential Selection Bias
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke Rundensteiner, Emmanuel Agu
SDM, 2022. pdf
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks
Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke Rundensteiner
LREC, 2022. pdf
On Detecting COVID-Risky Behavior from Smartphones
Thomas Hartvigsen*, Walter Gerych*, Marzyeh Ghassemi
Workshop on Epidemiology meets Data Mining and Knowledge Discovery, KDD 2022. pdf
Multimodal Checklists for Fair Clinical Decision Support
Qixuan Jin, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi
Workshop on Learning from Time Series for Health, NeurIPS 2022. Oral Spotlight.
Real-world Relevance of Generative Counterfactual Explanations.
Swami Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi, Philip Isola
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022.
2021
Recurrent Bayesian Classifier Chains for Exact Multi-label Classification
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner
NeurIPS, 2021. pdf
Energy-Efficient Models for High-dimensional Spike Train Classification using Sparse Spiking Neural Networks
Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie
KDD, 2021. pdf
Variational Open-Set Recognition
Luke Buquicchio, Walter Gerych, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Thomas Hartvigsen, Emmanuel Agu, Elke Rundensteiner
IEEE BigData, 2021.
Explainable Text Classification with Partially-Labeled Human Attention
Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke Rundensteiner
IEEE BigData, 2021.
2020
Recurrent Halting Chain for Early Multi-label Classification
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke Rundensteiner
KDD, 2020. pdf
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
Cansu Sen, Thomas Hartvigsen, Biao Yin, X. Kong, E. Rundensteiner.
ACL, 2020. pdf
Learning to Selectively Update State Neurons in Recurrent Networks
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke Rundensteiner.
CIKM, 2020. pdf
Learning Similarity-Preserving Meta-Embedding for Text Mining
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke Rundensteiner.
IEEE BigData, 2020. pdf
Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired C. Diff.
Erin Teeple, Thomas Hartvigsen, Cansu Sen, Kajal Claypool, Elke Rundensteiner.
HEALTHINF, 2020. Best poster. pdf
2019
Adaptive-Halting Policy Network for Early Classification
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke Rundensteiner.
KDD, 2019. pdf
Patient-Level Classification of Clinical Note Sequences Guided by Attributed Hierarchical Attention
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke Rundensteiner.
IEEE BigData, 2019.
Learning Temporal Relevance in Longitudinal Medical Notes
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke Rundensteiner.
IEEE BigData, 2019.
Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke Rundensteiner.
IEEE BHI, 2019. pdf
Early Diagnosis Prediction with Recurrent Neural Networks
Daniel Johnston, Liubuo Klindziuk, Lolita Nazarov, Thomas Hartvigsen, Elke Rundensteiner.
IEEE URTC, 2019.
2018
Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data
Thomas Hartvigsen, Cansu Sen, Elke Rundensteiner.
Communications in Computer and Information Science, Volume 2024, 2018.
Early Prediction of MRSA Infections using Electronic Health Records
Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke Rundensteiner.
HEALTHINF, 2018. Best student paper runner up. pdf
Handling Missing Values in Multivariate Time Series Classification
Julia Friend, Alec Hauck, Sruthi Kurada, Cansu Sen, Thomas Hartvigsen, E. Rundensteiner.
IEEE URTC, 2018.
2017
CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining
Cansu Sen, Thomas Hartvigsen, Kajal Claypool, Elke Rundensteiner.
ECML, 2017. pdf