34 citations · 38 across the 5 of their papers we have counts for
5 papers
Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats
Ryan Pavlich, Nima Ebadi, Richard Tarbell +11
Recognizing the promise of natural language interfaces to databases, prior studies have emphasized the development of text-to-SQL systems. While substantial progress has been made…
Extracting Biomedical Entities from Noisy Audio Transcripts
Nima Ebadi, Kellen Morgan, Adrian Tan +5
Automatic Speech Recognition (ASR) technology is fundamental in transcribing spoken language into text, with considerable applications in the clinical realm, including streamlining…
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction
Nima Ebadi, Peyman Najafirad
The rapidly evolving literature of COVID-19 related articles makes it challenging for NLP models to be effectively trained for information retrieval and extraction with the corresp…
A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic
Nima Ebadi, Peyman Najafirad
The pandemic has accelerated the pace at which COVID-19 scientific papers are published. In addition, the process of manually assigning semantic indexes to these papers by experts…
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
Nihar Bendre, Nima Ebadi, John J Prevost +1
A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed. In…