Publications

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

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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.. Studies in Health Technology and Informatics.

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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. Proceedings of the 21st Workshop on Biomedical Language Processing.

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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. Proceedings of the BioCreative VII challenge evaluation workshop.

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

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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 Felipe Teixeira De Moraes, Avisha Das (2020). Diverse datasets and a customizable benchmarking framework for phishing. Proceedings of the Sixth International Workshop on Security and Privacy Analytics.

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

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

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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.

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

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

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Ayman El Aassal, Luis Moraes, Shahryar Baki, Avisha Das, Rakesh Verma, ADR Verma (2018). Anti-phishing pilot at ACM IWSPA 2018. Proc. 1st AntiPhishing Shared Pilot 4th ACM Int. Workshop Secur. Privacy Anal.(IWSPA).

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

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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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