Jake Vasilakes

According to our database, Jake Vasilakes authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread.

Jake Vasilakes, Zhixue Zhao, Michal Gregor, Ivan Vykopal, Martin Hyben, Carolina Scarton

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

2023

Contextualized medication event extraction with levitated markers.

Jake Vasilakes, Panagiotis Georgiadis, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou

J. Biomed. Informatics, May, 2023

2022

Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.

Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

J. Biomed. Informatics, 2022

Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution.

Tanya E. Melnik, Joshua A. Thompson, Jake Vasilakes, Tucker Annis, Sicheng Zhou, Dalton Schutte, Genevieve Melton-Meaux, Susan Pleasants, Rui Zhang

Proceedings of the AMIA 2022, 2022

Learning Disentangled Representations of Negation and Uncertainty.

Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou

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

2021

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles.

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

CoRR, 2021

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature.

Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

CoRR, 2021

2020

Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.

Jake Vasilakes, Anusha Bompelli, Jeffrey R. Bishop, Terrence J. Adam, Olivier Bodenreider, Rui Zhang

J. Am. Medical Informatics Assoc., 2020

iDISK: the integrated DIetary Supplements Knowledge base.

Rubina F. Rizvi, Jake Vasilakes, Terrence J. Adam, Genevieve B. Melton, Jeffrey R. Bishop, Jiang Bian, Cui Tao, Rui Zhang

J. Am. Medical Informatics Assoc., 2020

Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT.

Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.

Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian

BMC Medical Informatics Decis. Mak., 2019

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements.

Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang

CoRR, 2019

Normalizing Dietary Supplement Product Names Using the RxNorm Model.

Jake Vasilakes, Yadan Fan, Rubina F. Rizvi, Anusha Bompelli, Olivier Bodenreider, Rui Zhang

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements.

Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph.

Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jiang Bian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018