| Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution J Gatto, P Seegmiller, G Johnston, SM Preum JMIR Medical Informatics 10 (9), e37770, 2022 | 6 | 2022 |
| Virtual ir sensing for planetary rovers: Improved terrain classification and thermal inertia estimation Y Iwashita, K Nakashima, J Gatto, S Higa, A Stoica, N Khoo, R Kurazume IEEE Robotics and Automation Letters 5 (4), 6302-6309, 2020 | 4 | 2020 |
| Single sample feature importance: An interpretable algorithm for low-level feature analysis J Gatto, R Lanka, Y Iwashita, A Stoica arXiv preprint arXiv:1911.11901, 2019 | 4 | 2019 |
| Chain-of-thought embeddings for stance detection on social media J Gatto, O Sharif, SM Preum arXiv preprint arXiv:2310.19750, 2023 | 3 | 2023 |
| Scope of Pre-trained Language Models for Detecting Conflicting Health Information J Gatto, M Basak, SM Preum Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 3 | 2023 |
| Text encoders lack knowledge: Leveraging generative llms for domain-specific semantic textual similarity J Gatto, O Sharif, P Seegmiller, P Bohlman, SM Preum arXiv preprint arXiv:2309.06541, 2023 | 2 | 2023 |
| Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse J Gatto, M Basak, Y Srivastava, P Bohlman, SM Preum arXiv preprint arXiv:2403.03336, 2024 | 1 | 2024 |
| Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts J Gatto, SM Preum arXiv preprint arXiv:2309.09877, 2023 | 1 | 2023 |
| Theme-driven Keyphrase Extraction to Analyze Social Media Discourse W Romano, O Sharif, M Basak, J Gatto, S Preum arXiv preprint arXiv:2301.11508, 2023 | 1 | 2023 |
| Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit P Seegmiller, J Gatto, O Sharif, M Basak, SM Preum arXiv preprint arXiv:2404.01147, 2024 | | 2024 |
| Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data J Gatto, P Seegmiller, O Sharif, SM Preum arXiv preprint arXiv:2403.03304, 2024 | | 2024 |
| The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints P Seegmiller, J Gatto, M Basak, D Cook, H Ghasemzadeh, J Stankovic, ... 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
| HealthE: Recognizing Health Advice & Entities in Online Health Communities J Gatto, P Seegmiller, GM Johnston, M Basak, SM Preum Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | | 2023 |
| ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence P Seegmiller, J Gatto, A Mamun, H Ghasemzadeh, D Cook, J Stankovic, ... arXiv preprint arXiv:2301.07051, 2023 | | 2023 |
| Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. W Romano, O Sharif, M Basak, J Gatto, SM Preum CoRR, 2023 | | 2023 |
Sarah Masud PreumAssistant Professor, Dartmouth CollegeVerified email at dartmouth.edu
