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Representation Learning of Biological Concepts: A Systematic Review
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Yuntao Yang, Xu Zuo, Avisha Das, Hua Xu, Wenjin Zheng
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An in-depth benchmarking and evaluation of phishing detection research for security needs
We perform an in-depth, systematic benchmarking study and evaluation of phishing features on diverse and extensive datasets. We propose …
Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh Verma
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Can machines tell stories? A comparative study of deep neural language models and metrics
Massive textual content has enabled rapid advances in natural language modeling. The use of pre-trained deep neural language models has …
Avisha Das, Rakesh Verma
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Can machines tell stories? A comparative study of deep neural language models and metrics
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
In this paper, we revisit the challenging problem of unsupervised single-document summarization and study the following aspects, (i) …
Daniel Lee, Rakesh Verma, Avisha Das, Arjun Mukherjee
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Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
Advanced machine learning and natural language techniques enable attackers to launch sophisticated and targeted social …
Avisha Das, Rakesh M Verma
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Avisha Das
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SoK: a comprehensive reexamination of phishing research from the security perspective
Phishing and spear phishing are typical examples of masquerade attacks since trust is built up through impersonation for the attack to …
Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh Verma, Arthur Dunbar
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SoK: a comprehensive reexamination of phishing research from the security perspective
Citance-based retrieval and summarization using IR and machine learning
We consider the three interesting problems posed by the CL-SciSumm series of shared tasks. Given a reference document D and a set of …
Samaneh Karimi, Luis Moraes, Avisha Das, Azadeh Shakery, Rakesh Verma
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An example journal article
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Avisha Das, Robert Ford
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An example journal article