Avisha Das

17 papers Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer.
MedInfo
Avisha Das, Chiamaka S. Diala, Guocai Chen, Zhao Li, Rongbin Li, Omer Anjum, W. Jim Zheng
2025 J jnl
Weakly supervised language models for automated extraction of critical findings from radiology reports.
npj Digit. Medicine
Avisha Das, Ish A. Talati, Juan Manuel Zambrano Chaves, Daniel L. Rubin, Imon Banerjee
2024 J jnl
Ensemble pretrained language models to extract biomedical knowledge from literature.
J. Am. Medical Informatics Assoc.
Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S. Diala, Kirk E. Roberts, Cui Tao, Xiaoqian Jiang, W. Jim Zheng, Hua Xu
2023 — conf
Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers.
MedInfo
Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu
2022 — conf
Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues.
BioNLP@ACL
Avisha Das, Salih Selek, Alia R. Warner, Xu Zuo, Yan Hu, Vipina Kuttichi Keloth, Jianfu Li, W. Jim Zheng, Hua Xu
2020 J jnl
An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs.
IEEE Access
Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma
2020 J jnl
Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics.
IEEE Access
Avisha Das, Rakesh M. Verma
2020 — conf
Diverse Datasets and a Customizable Benchmarking Framework for Phishing.
IWSPA@CODASPY
Victor Zeng, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Luis Felipe Teixeira De Moraes, Avisha Das
2020 J jnl
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models.
CoRR
Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee
2020 J jnl
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners.
CoRR
Avisha Das, Rakesh M. Verma
2020 J jnl
SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective.
IEEE Commun. Surv. Tutorials
Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar
2019 J jnl
Automated email Generation for Targeted Attacks using Natural Language.
CoRR
Avisha Das, Rakesh M. Verma
2019 J jnl
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective.
CoRR
Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar
2018 J jnl
Citance-based retrieval and summarization using IR and machine learning.
Scientometrics
Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Azadeh Shakery, Rakesh M. Verma
2018 — conf
University of Houston @ CL-SciSumm 2018.
BIRNDL@SIGIR
Luis F. T. De Moraes, Avisha Das, Samaneh Karimi, Rakesh M. Verma
2017 — conf
University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment.
BIRNDL@SIGIR (2)
Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Rakesh M. Verma
2017 — conf
What's in a URL: Fast Feature Extraction and Malicious URL Detection.
IWSPA@CODASPY
Rakesh M. Verma, Avisha Das