Karimi, Sarvnaz

LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models

Almodovar, C., Sabrina, F., Karimi, S., & Azad, S. (2024) · IEEE Transactions on Network and Service Management

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 111

Matching patients to clinical trials using semantically enriched document representation

Hassanzadeh, H., Karimi, S., & Nguyen, A. (2020) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 52

From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach

Singh, S., Karimi, S., Ho-Shon, K., & Hamey, L. (2019) · 2019 Digital Image Computing: Techniques and Applications (DICTA)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 33

MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines

Nguyen, V., Karimi, S., Rybinski, M., & Xing, Z. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingHealth Literacy and Information Accessibility

Cited by 5

Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries

Fang, B., Dai, X., & Karimi, S. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 4