Publications

Yuntao Yang, Xu Zuo, Avisha Das, Hua Xu, Wenjin Zheng (2024). Representation Learning of Biological Concepts: A Systematic Review. Current Bioinformatics.

Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu (2024). Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers. In MEDINFO.

Avisha Das, Amara Tariq, Felipe Batalini, Boddhisattwa Dhara, Imon Banerjee (2024). Exposing Vulnerabilities in Clinical LLMs Through Data Poisoning Attacks: Case Study in Breast Cancer. medRxiv.

Avisha Das, Salih Selek, Alia R Warner, Xu Zuo, Yan Hu, Vipina Kuttichi Keloth, Jianfu Li, W Jim Zheng, Hua Xu (2022). Conversational bots for psychotherapy: a study of generative transformer models using domain-specific dialogues. In BioNLP.

Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, W Jim Zheng, Hua Xu (2021). UTHealth@ BioCreativeVII: domain-specific transformer models for drug-protein relation extraction. In BioCreative VII.

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

Daniel Lee, Rakesh Verma, Avisha Das, Arjun Mukherjee (2020). Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. arXiv preprint arXiv:2008.00140.

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Victor Zeng, Shahryar Baki, Ayman El Aassal, Rakesh Verma, Luis Moraes, Avisha Das (2020). Diverse datasets and a customizable benchmarking framework for phishing. In Proceedings of the Sixth International Workshop on Security and Privacy Analytics.

Avisha Das, Rakesh Verma (2020). Can machines tell stories? A comparative study of deep neural language models and metrics. IEEE Access.

Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh Verma (2020). An in-depth benchmarking and evaluation of phishing detection research for security needs. IEEE Access.

Avisha Das (2019). An example preprint / working paper.

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Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh Verma, Arthur Dunbar (2019). SoK: a comprehensive reexamination of phishing research from the security perspective. IEEE Communications Surveys & Tutorials.

Avisha Das, Rakesh Verma (2019). Automated email generation for targeted attacks using natural language. In TA-COS.

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

Ayman El Aassal, Avisha Das, Shahryar Baki, Luis Moraes, Rakesh Verma (2018). Anti-phishing pilot at ACM IWSPA 2018: Evaluating Performance with New Metrics for Unbalanced Datasets. In Proceedings 1st Anti-Phishing Shared Pilot 4th ACM International Workshop on Security and Privacy Analytics (IWSPA).

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Rakesh Verma, Avisha Das (2017). What's in a url: Fast feature extraction and malicious url detection. In Proceedings of the 3rd ACM on International Workshop on Security and Privacy Analytics.

Avisha Das, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

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Avisha Das, Robert Ford (2013). An example conference paper. In ICW.

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