Jake Vasilakes

Orcid: 0000-0001-6729-0936

According to our database1, Jake Vasilakes authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread.
CoRR, 2024

2023
Contextualized medication event extraction with levitated markers.
J. Biomed. Informatics, May, 2023

2022
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.
J. Biomed. Informatics, 2022

Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution.
Proceedings of the AMIA 2022, 2022

Learning Disentangled Representations of Negation and Uncertainty.
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.
CoRR, 2021

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature.
CoRR, 2021

2020
Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.
J. Am. Medical Informatics Assoc., 2020

iDISK: the integrated DIetary Supplements Knowledge base.
J. Am. Medical Informatics Assoc., 2020

Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT.
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.
BMC Medical Informatics Decis. Mak., 2019

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements.
CoRR, 2019

Normalizing Dietary Supplement Product Names Using the RxNorm Model.
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.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


  Loading...