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Journal Articles
- 2024
[j5]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:
Ensemble pretrained language models to extract biomedical knowledge from literature. J. Am. Medical Informatics Assoc. 31(9): 1904-1911 (2024)- 2020
- [j4]Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma:
An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs. IEEE Access 8: 22170-22192 (2020) - [j3]Avisha Das, Rakesh M. Verma:
Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics. IEEE Access 8: 181258-181292 (2020) - [j2]Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar:
SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective. IEEE Commun. Surv. Tutorials 22(1): 671-708 (2020) - 2018
- [j1]Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Azadeh Shakery, Rakesh M. Verma:
Citance-based retrieval and summarization using IR and machine learning. Scientometrics 116(2): 1331-1366 (2018)
Conference and Workshop Papers
- 2023
- [c6]Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu:
Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers. MedInfo 2023: 639-643 - 2022
- [c5]Avisha Das, Salih Selek, Alia R. Warner, Xu Zuo, Yan Hu, Vipina Kuttichi Keloth, Jianfu Li, W. Jim Zheng, Hua Xu:
Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues. BioNLP@ACL 2022: 285-297 - 2020
- [c4]Victor Zeng, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Luis Felipe Teixeira De Moraes, Avisha Das:
Diverse Datasets and a Customizable Benchmarking Framework for Phishing. IWSPA@CODASPY 2020: 35-41 - 2018
- [c3]Luis F. T. De Moraes, Avisha Das, Samaneh Karimi, Rakesh M. Verma:
University of Houston @ CL-SciSumm 2018. BIRNDL@SIGIR 2018: 142-149 - 2017
- [c2]Rakesh M. Verma, Avisha Das:
What's in a URL: Fast Feature Extraction and Malicious URL Detection. IWSPA@CODASPY 2017: 55-63 - [c1]Samaneh Karimi, Luis F. T. Moraes, Avisha Das, Rakesh M. Verma:
University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment. BIRNDL@SIGIR (2) 2017: 73-85
Informal and Other Publications
- 2020
- [i4]Avisha Das, Rakesh M. Verma:
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners. CoRR abs/2007.07403 (2020) - [i3]Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee:
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. CoRR abs/2008.00140 (2020) - 2019
- [i2]Avisha Das, Rakesh M. Verma:
Automated email Generation for Targeted Attacks using Natural Language. CoRR abs/1908.06893 (2019) - [i1]Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar:
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective. CoRR abs/1911.00953 (2019)
Coauthor Index
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last updated on 2024-12-10 21:46 CET by the dblp team
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