Jeremy C. Weiss

Orcid: 0000-0003-1693-9082

According to our database1, Jeremy C. Weiss authored at least 35 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate.
Artif. Intell. Medicine, 2024

Using Multimodal Data to Improve Precision of Inpatient Event Timelines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Fairness with censorship and group constraints.
Knowl. Inf. Syst., June, 2023

Individual Fairness Guarantee in Learning with Censorship.
CoRR, 2023

Typed Markers and Context for Clinical Temporal Relation Extraction.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.
Proceedings of the Machine Learning for Health, 2023

Individual Fairness Under Uncertainty.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Censored Fairness through Awareness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fairness Amidst Non-IID Graph Data: A Literature Review.
CoRR, 2022

AnEMIC: A Framework for Benchmarking ICD Coding Models.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.
Proceedings of the AMIA 2022, 2022

Longitudinal Fairness with Censorship.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Wavelet Reconstruction Networks for Marked Point Processes.
Proceedings of AAAI Symposium on Survival Prediction, 2021

Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk.
Proceedings of AAAI Symposium on Survival Prediction, 2021

FARF: A Fair and Adaptive Random Forests Classifier.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Fair Decision-making Under Uncertainty.
Proceedings of the IEEE International Conference on Data Mining, 2021

Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Disentangled Hyperspherical Clustering for Sepsis Phenotyping.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning.
CoRR, 2020

TL-Lite: Temporal Visualization and Learning for Clinical Forecasting.
Proceedings of the Machine Learning for Health Workshop, 2020

Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches.
Proceedings of the Machine Learning for Health Workshop, 2020

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction.
CoRR, 2019

Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data.
Proceedings of the AMIA 2019, 2019

2018
Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

2017
Piecewise-constant parametric approximations for survival learning.
Proceedings of the Machine Learning for Health Care Conference, 2017

2015
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.
Proceedings of the AMIA 2015, 2015

Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Forest-Based Point Process for Event Prediction from Electronic Health Records.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Maps for Reasoning in Ultimate.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013

Learning When to Reject an Importance Sample.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records.
AI Mag., 2012

Multiplicative Forests for Continuous-Time Processes.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012


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