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Jake Vasilakes
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2020 – today
- 2024
- [i5]Jake Vasilakes, Zhixue Zhao, Ivan Vykopal, Michal Gregor, Martin Hyben, Carolina Scarton:
ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread. CoRR abs/2406.15443 (2024) - 2023
- [j5]Jake Vasilakes, Panagiotis Georgiadis, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Contextualized medication event extraction with levitated markers. J. Biomed. Informatics 141: 104347 (2023) - 2022
- [j4]Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang:
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature. J. Biomed. Informatics 131: 104120 (2022) - [c6]Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou:
Learning Disentangled Representations of Negation and Uncertainty. ACL (1) 2022: 8380-8397 - [c5]Tanya E. Melnik, Joshua A. Thompson, Jake Vasilakes, Tucker Annis, Sicheng Zhou, Dalton Schutte, Genevieve Melton-Meaux, Susan Pleasants, Rui Zhang:
Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution. AMIA 2022 - [i4]Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou:
Learning Disentangled Representations of Negation and Uncertainty. CoRR abs/2204.00511 (2022) - 2021
- [i3]Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang:
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature. CoRR abs/2106.12741 (2021) - [i2]Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov:
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR abs/2108.02255 (2021) - 2020
- [j3]Rubina F. Rizvi, Jake Vasilakes, Terrence J. Adam, Genevieve B. Melton, Jeffrey R. Bishop, Jiang Bian, Cui Tao, Rui Zhang:
iDISK: the integrated DIetary Supplements Knowledge base. J. Am. Medical Informatics Assoc. 27(4): 539-548 (2020) - [j2]Jake Vasilakes, Anusha Bompelli, Jeffrey R. Bishop, Terrence J. Adam, Olivier Bodenreider, Rui Zhang:
Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System. J. Am. Medical Informatics Assoc. 27(10): 1547-1555 (2020) - [c4]Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang:
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT. AIME 2020: 67-77
2010 – 2019
- 2019
- [j1]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian:
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. 19-S(4): 150:1-150:18 (2019) - [c3]Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang:
Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. MedInfo 2019: 323-327 - [c2]Jake Vasilakes, Yadan Fan, Rubina F. Rizvi, Anusha Bompelli, Olivier Bodenreider, Rui Zhang:
Normalizing Dietary Supplement Product Names Using the RxNorm Model. MedInfo 2019: 408-412 - [i1]Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang:
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. CoRR abs/1906.03171 (2019) - 2018
- [c1]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jiang Bian:
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM 2018: 1649-1652
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last updated on 2024-08-05 21:23 CEST by the dblp team
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