| ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design X He, R Zhang, R Rizvi, J Vasilakes, X Yang, Y Guo, Z He, M Prosperi, ... BMC medical informatics and decision making 19, 1-18, 2019 | 39 | 2019 |
| Analyzing social media data to understand consumer information needs on dietary supplements RF Rizvi, Y Wang, T Nguyen, J Vasilakes, J Bian, Z He, R Zhang MEDINFO 2019: Health and Wellbeing e-Networks for All, 323-327, 2019 | 31 | 2019 |
| iDISK: the integrated DIetary Supplements Knowledge base RF Rizvi, J Vasilakes, TJ Adam, GB Melton, JR Bishop, J Bian, C Tao, ... Journal of the American Medical Informatics Association 27 (4), 539-548, 2020 | 29 | 2020 |
| Learning Disentangled Representations of Negation and Uncertainty J Vasilakes, C Zerva, M Miwa, S Ananiadou arXiv preprint arXiv:2204.00511, 2022 | 20 | 2022 |
| Natural language processing J Vasilakes, S Zhou, R Zhang Machine Learning in Cardiovascular Medicine, 123-148, 2021 | 20 | 2021 |
| Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature D Schutte, J Vasilakes, A Bompelli, Y Zhou, M Fiszman, H Xu, H Kilicoglu, ... Journal of Biomedical Informatics 131, 104120, 2022 | 18 | 2022 |
| Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System J Vasilakes, A Bompelli, JR Bishop, TJ Adam, O Bodenreider, R Zhang Journal of the American Medical Informatics Association 27 (10), 1547-1555, 2020 | 14 | 2020 |
| Evaluating active learning methods for annotating semantic predications J Vasilakes, R Rizvi, GB Melton, S Pakhomov, R Zhang JAMIA open 1 (2), 275-282, 2018 | 14 | 2018 |
| Detecting Signals of Dietary Supplement Adverse Events from the CFSAN Adverse Event Reporting System (CAERS) JA Vasilakes, RF Rizvi, J Zhang, TJ Adam, R Zhang AMIA Summits on Translational Science Proceedings 2019, 258, 2019 | 10 | 2019 |
| Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph X He, R Zhang, R Rizvi, J Vasilakes, X Yang, Y Guo, Z He, M Prosperi, ... 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 9 | 2018 |
| Stimulated training for automatic speech recognition and keyword search in limited resource conditions A Ragni, C Wu, MJF Gales, J Vasilakes, KM Knill 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 9 | 2017 |
| Comparing NLP systems to extract entities of eligibility criteria in dietary supplements clinical trials using NLP-ADAPT A Bompelli, G Silverman, R Finzel, J Vasilakes, B Knoll, S Pakhomov, ... International Conference on Artificial Intelligence in Medicine, 67-77, 2020 | 8 | 2020 |
| Recurrent neural network language models for keyword search X Chen, A Ragni, J Vasilakes, X Liu, K Knill, MJF Gales 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
| Comparing Existing Resources to Represent Dietary Supplements RF Rizvi, TJ Adam, EA Lindemann, J Vasilakes, SVS Pakhomov, ... AMIA Summits on Translational Science Proceedings 2018, 207, 2018 | 7 | 2018 |
| Contextualized medication event extraction with levitated markers J Vasilakes, P Georgiadis, NTH Nguyen, M Miwa, S Ananiadou Journal of Biomedical Informatics 141, 104347, 2023 | 6 | 2023 |
| Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search A Ragni, D Saunders, P Zahemszky, J Vasilakes, MJF Gales, KM Knill 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
| Normalizing dietary supplement product names using the RxNorm model J Vasilakes, Y Fan, R Rizvi, A Bompelli, O Bodenreider, R Zhang MEDINFO 2019: Health and Wellbeing e-Networks for All, 408-412, 2019 | 2 | 2019 |
| Annotated Semantic Predications from SemMedDB JA Vasilakes, R Rizvi, R Zhang | 2 | 2018 |
| An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles GM Silverman, RL Finzel, MV Heinz, J Vasilakes, JC Solinsky, R McEwan, ... arXiv preprint arXiv:2108.02255, 2021 | 1 | 2021 |
| Integrated Dietary Supplement Knowledge Base (iDISK) RF Rizvi, JA Vasilakes, TJ Adam, GB Melton, JR Bishop, J Bian, C Tao, ... | 1 | 2019 |
Rui Zhang, PhD, FACMI, FAMIADivision Chief and Professor, University of Minnesotaumn.edu üzerinde doğrulanmış e-posta adresine sahip