Thomas A. Trikalinos

According to our database, Thomas A. Trikalinos authored at least 14 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Forecasting COVID-19 and Analyzing the Effect of Government Interventions.

Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos Trichakis, Dimitris Bertsimas

Oper. Res., January, 2023

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews.

Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Self-Repetition in Abstractive Neural Summarizers.

Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2019

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study.

Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain James Marshall

BMC Medical Informatics Decis. Mak., 2019

2014

A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews.

Byron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze

J. Am. Medical Informatics Assoc., 2014

Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model.

Byron C. Wallace, Issa J. Dahabreh, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication.

Byron C. Wallace, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos

Proceedings of the ACM International Health Informatics Symposium, 2012

2011

Who Should Label What? Instance Allocation in Multiple Expert Active Learning.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

The Constrained Weight Space SVM: Learning with Ranked Features.

Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the 28th International Conference on Machine Learning, 2011

Class Imbalance, Redux.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Semi-automated screening of biomedical citations for systematic reviews.

Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla E. Brodley, Christopher H. Schmid

BMC Bioinform., 2010

Active learning for biomedical citation screening.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Modeling annotation time to reduce workload in comparative effectiveness reviews.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos

Proceedings of the ACM International Health Informatics Symposium, 2010