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Thomas A. Trikalinos
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2020 – today
- 2023
- [j4]Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos Trichakis, Dimitris Bertsimas:
Forecasting COVID-19 and Analyzing the Effect of Government Interventions. Oper. Res. 71(1): 184-201 (2023) - [c10]Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace:
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. EMNLP 2023: 10122-10139 - [i2]Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace:
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. CoRR abs/2305.11828 (2023) - 2022
- [c9]Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova:
Self-Repetition in Abstractive Neural Summarizers. AACL/IJCNLP (2) 2022: 341-350 - [i1]Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova:
Self-Repetition in Abstractive Neural Summarizers. CoRR abs/2210.08145 (2022)
2010 – 2019
- 2019
- [j3]Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain James Marshall:
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. BMC Medical Informatics Decis. Mak. 19(1): 96:1-96:12 (2019) - 2014
- [j2]Byron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze:
A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews. J. Am. Medical Informatics Assoc. 21(6): 1098-1103 (2014) - [c8]Byron C. Wallace, Issa J. Dahabreh, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak:
Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model. AAAI 2014: 1314-1320 - 2013
- [c7]Byron C. Wallace, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak:
A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication. EMNLP 2013: 1765-1775 - 2012
- [c6]Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos:
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. IHI 2012: 819-824 - 2011
- [c5]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Class Imbalance, Redux. ICDM 2011: 754-763 - [c4]Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos:
The Constrained Weight Space SVM: Learning with Ranked Features. ICML 2011: 865-872 - [c3]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Who Should Label What? Instance Allocation in Multiple Expert Active Learning. SDM 2011: 176-187 - 2010
- [j1]Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla E. Brodley, Christopher H. Schmid:
Semi-automated screening of biomedical citations for systematic reviews. BMC Bioinform. 11: 55 (2010) - [c2]Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos:
Modeling annotation time to reduce workload in comparative effectiveness reviews. IHI 2010: 28-35 - [c1]Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Active learning for biomedical citation screening. KDD 2010: 173-182
Coauthor Index
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