What's in a URL: Fast Feature Extraction and Malicious URL Detection. - Rakesh M. Verma; Avisha Das (IWSPA@CODASPY, 2017)

University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment. - Samaneh Karimi; Luis F. T. Moraes; Avisha Das; Rakesh M. Verma (BIRNDL@SIGIR (2), 2017)

University of Houston @ CL-SciSumm 2018. - Luis F. T. De Moraes; Avisha Das; Samaneh Karimi; Rakesh M. Verma (BIRNDL@SIGIR, 2018)

Citance-based retrieval and summarization using IR and machine learning. - Samaneh Karimi; Luis F. T. Moraes; Avisha Das; Azadeh Shakery; Rakesh M. Verma (Scientometrics, 2018)

Automated email Generation for Targeted Attacks using Natural Language. - Avisha Das; Rakesh M. Verma (CoRR, 2019)

Diverse Datasets and a Customizable Benchmarking Framework for Phishing. - Victor Zeng; Shahryar Baki; Ayman El Aassal; Rakesh M. Verma; Luis Felipe Teixeira De Moraes; Avisha Das (IWSPA@CODASPY, 2020)

An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs. - Ayman El Aassal; Shahryar Baki; Avisha Das; Rakesh M. Verma (IEEE Access, 2020)

Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics. - Avisha Das; Rakesh M. Verma (IEEE Access, 2020)

SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective. - Avisha Das; Shahryar Baki; Ayman El Aassal; Rakesh M. Verma; Arthur Dunbar (IEEE Commun. Surv. Tutorials, 2020)

Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners. - Avisha Das; Rakesh M. Verma (CoRR, 2020)

Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. - Daniel Lee; Rakesh M. Verma; Avisha Das; Arjun Mukherjee (CoRR, 2020)

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues. - Avisha Das; Salih Selek; Alia R. Warner; Xu Zuo; Yan Hu; Vipina Kuttichi Keloth; Jianfu Li; W. Jim Zheng; Hua Xu 001 (BioNLP@ACL, 2022)

Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers. - Avisha Das; Zhao Li; Qiang Wei 002; Jianfu Li; Liang-Chin Huang; Yan Hu; Rongbin Li; Wenjin Jim Zheng; Hua Xu 001 (MedInfo, 2023)

Ensemble pretrained language models to extract biomedical knowledge from literature. - Zhao Li; Qiang Wei 002; Liang-Chin Huang; Jianfu Li; Yan Hu; Yao-Shun Chuang; Jianping He 002; Avisha Das; Vipina Kuttichi Keloth; Yuntao Yang; Chiamaka S. Diala; Kirk E. Roberts; et al. (J. Am. Medical Informatics Assoc., 2024)

Weakly supervised language models for automated extraction of critical findings from radiology reports. - Avisha Das; Ish A. Talati; Juan Manuel Zambrano Chaves; Daniel L. Rubin; Imon Banerjee (npj Digit. Medicine, 2025)