Thomas Hartvigsen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2023

Machine Learning for Health symposium 2023 - Findings track.

[BibT_eX]

[DOI]

Mercy Nyamewaa Asiedu

Serina Chang

Harvineet Singh

CoRR, 2023

Continuous Time Evidential Distributions for Irregular Time Series.

[BibT_eX]

[DOI]

CoRR, 2023

Interpretable Unified Language Checking.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.

[BibT_eX]

[DOI]

Theodoros Tsiligkaridis

Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.

[BibT_eX]

[DOI]

Tom Hartvigsen

Swami Sankaranarayanan

Hamid Palangi

Yoon Kim

Marzyeh Ghassemi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Machine Learning for Health (ML4H) 2023.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2023

Taking Off with AI: Lessons from Aviation for Healthcare.

[BibT_eX]

[DOI]

Elizabeth Bondi-Kelly

Lindsay M. Sanneman

Swami Sankaranarayanan

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Multi-State Brain Network Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Stabilizing Adversarial Training for Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 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

Positive Unlabeled Learning with a Sequential Selection Bias.

[BibT_eX]

[DOI]

Emmanuel Agu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks.

[BibT_eX]

[DOI]

Prathyush S. Parvatharaju

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Class-Specific Explainability for Deep Time Series Classifiers.

[BibT_eX]

[DOI]

Ramesh Doddaiah

Proceedings of the IEEE International Conference on Data Mining, 2022

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations.

[BibT_eX]

[DOI]

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 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

Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels.

[BibT_eX]

[DOI]

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

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Recovering the Propensity Score from Biased Positive Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.

[BibT_eX]

[DOI]

Prathyush S. Parvatharaju

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Saliency Maps to Explain Deep Time Series Classifiers.

[BibT_eX]

[DOI]

Ramesh Doddaiah

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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

Variational Open Set Recognition (VOSR).

[BibT_eX]

[DOI]

Emmanuel Agu

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

Recurrent Halting Chain for Early Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Selectively Update State Neurons in Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 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

Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Adaptive-Halting Policy Network for Early Classification.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Temporal Relevance in Longitudinal Medical Notes.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Engineering Systems and Technologies, 2018

Early Prediction of MRSA Infections using Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining.

[BibT_eX]

[DOI]