An Efficient Parallel Algorithm for Term Matching. - Rakesh M. Verma; Krishnaprasad Thirunarayan; I. V. Ramakrishnan (FSTTCS, 1986)

Optimal Time Bounds for Parallel Term Matching. - Rakesh M. Verma; I. V. Ramakrishnan (CADE, 1988)

Some Complexity Theoretic Aspects of AC Rewriting. - Rakesh M. Verma; I. V. Ramakrishnan (STACS, 1989)

Term Matching on Parallel Computers. - R. Ramesh 001; Rakesh M. Verma; Krishnaprasad Thirunarayan; I. V. Ramakrishnan (J. Log. Program., 1989)

An Analysis of a Good Algorithm for the Subtree Problem, Corrected. - Rakesh M. Verma; Steven W. Reyner (SIAM J. Comput., 1989)

Nonoblivious Normalization Algorithms for Nonlinear Rewrite Systems. - Rakesh M. Verma; I. V. Ramakrishnan (ICALP, 1990)

A Theory of Using History for Equational Systems with Applications (Extended Abstract) - Rakesh M. Verma (FOCS, 1991)

Strings, Trees, and Patterns. - Rakesh M. Verma (Inf. Process. Lett., 1992)

Tight Complexity Bounds for Term Matching Problems - Rakesh M. Verma; I. V. Ramakrishnan (Inf. Comput., 1992)

On Embeddings of Rectangles into Optimal Squares. - Shou-Hsuan Stephen Huang; Hongfei Liu; Rakesh M. Verma (ICPP (3), 1993)

Smaran: A Congruence-Closure Based System for Equational Computations. - Rakesh M. Verma (RTA, 1993)

A General Method and a Master Theorem for Divide-and-Conquer Recurrences with Applications. - Rakesh M. Verma (J. Algorithms, 1994)

Unique Normal Forms and Confluence of Rewrite Systems: Persistence. - Rakesh M. Verma (IJCAI, 1995)

A Theory of Using History for Equational Systems with Applications. - Rakesh M. Verma (J. ACM, 1995)

Transformations and Confluence for Rewrite Systems. - Rakesh M. Verma (Theor. Comput. Sci., 1995)

A New Combinatorial Approach to Optimal Embeddings of Rectangles. - Shou-Hsuan Stephen Huang; Hongfei Liu; Rakesh M. Verma (Algorithmica, 1996)

Unique Normal Forms for Nonlinear Term Rewriting Systems: Root Overlaps. - Rakesh M. Verma (FCT, 1997)

On Embedding Rectangular Meshes into Rectangular Meshes of Smaller Aspect Ratio. - Shou-Hsuan Stephen Huang; Hongfei Liu; Rakesh M. Verma (Inf. Process. Lett., 1997)

General Techniques for Analyzing Recursive Algorithms with Applications. - Rakesh M. Verma (SIAM J. Comput., 1997)

An Efficient Multiversion Access STructure. - Peter J. Varman; Rakesh M. Verma (IEEE Trans. Knowl. Data Eng., 1997)

RPO Constraint Solving Is in NP. - Paliath Narendran; Michaël Rusinowitch; Rakesh M. Verma (CSL, 1998)

LarrowR2: A Laboratory fro Rapid Term Graph Rewriting. - Rakesh M. Verma; Shalitha Senanayake (RTA, 1999)

Tight Bounds for Prefetching and Buffer Management Algorithms for Parallel I/O Systems. - Peter J. Varman; Rakesh M. Verma (IEEE Trans. Parallel Distributed Syst., 1999)

Static Analysis Techniques for Equational Logic Programming - Rakesh M. Verma (CoRR, 2000)

Efficient declustering techniques for temporal access structures. - Sanjiv Behl; Rakesh M. Verma (ADC, 2001)

Local and Symbolic Bisimulation Using Tabled Constraint Logic Programming. - Samik Basu 001; Madhavan Mukund; C. R. Ramakrishnan 001; I. V. Ramakrishnan; Rakesh M. Verma (ICLP, 2001)

Algorithms and Reductions for Rewriting Problems. - Rakesh M. Verma; Michaël Rusinowitch; Denis Lugiez (Fundam. Informaticae, 2001)

RULE2001 - Foreword. - Mark van den Brand; Rakesh M. Verma (RULE@PLI, 2001)

K-tree/forest: efficient indexes for boolean queries. - Rakesh M. Verma; Sanjiv Behl (SIGIR, 2002)

On the Structure of Counterexamples to Symmetric Orderings for BDD's. - Rakesh M. Verma; Sarah Hwang (CATS, 2002)

Algorithms and reductions for rewriting problems II. - Rakesh M. Verma (Inf. Process. Lett., 2002)

On the Confluence of Linear Shallow Term Rewrite Systems. - Guillem Godoy; Ashish Tiwari 001; Rakesh M. Verma (STACS, 2003)

Characterizing Confluence by Rewrite Closure and Right Ground Term Rewrite Systems. - Guillem Godoy; Ashish Tiwari 001; Rakesh M. Verma (Appl. Algebra Eng. Commun. Comput., 2004)

Deciding confluence of certain term rewriting systems in polynomial time. - Guillem Godoy; Ashish Tiwari 001; Rakesh M. Verma (Ann. Pure Appl. Log., 2004)

Remarks on Thatte's transformation of term rewriting systems. - Bas Luttik; Piet Rodenburg; Rakesh M. Verma (Inf. Comput., 2004)

A visual and interactive automata theory course emphasizing breadth of automata. - Rakesh M. Verma (ITiCSE, 2005)

A new decidability technique for ground term rewriting systems with applications. - Rakesh M. Verma; Ara Hayrapetyan (ACM Trans. Comput. Log., 2005)

A Query-Based Medical Information Summarization System Using Ontology Knowledge. - Ping Chen 001; Rakesh M. Verma (CBMS, 2006)

Automata theory: its relevance to computer science students and course contents. - Michal Armoni; Susan H. Rodger; Moshe Y. Vardi; Rakesh M. Verma (SIGCSE, 2006)

Improving Techniques for Proving Undecidability of Checking Cryptographic Protocols. - Zhiyao Liang; Rakesh M. Verma (ARES, 2008)

Semantic Analysis of Association Rules. - Ping Chen 001; Rakesh M. Verma; Janet C. Meininger; Wenyaw Chan (FLAIRS, 2008)

Complexity of Checking Freshness of Cryptographic Protocols. - Zhiyao Liang; Rakesh M. Verma (ICISS, 2008)

Visualization of rule-based programming. - Wenshan Yu; Rakesh M. Verma (SAC, 2008)

Semantic Multi-Document Update Summarization Techniques. - Rakesh M. Verma; David Kent 003; Ping Chen 001 (TAC, 2008)

New Undecidability Results for Properties of Term Rewrite Systems. - Rakesh M. Verma (RULE, 2008)

Correcting and Improving the NP Proof for Cryptographic Protocol Insecurity. - Zhiyao Liang; Rakesh M. Verma (ICISS, 2009)

Complexity of Normal Form Properties and Reductions for Term Rewriting Problems Complexity of Normal Form Properties and Reductions for Term Rewriting Problems. - Rakesh M. Verma (Fundam. Informaticae, 2009)

Uniqueness of Normal Forms is Decidable for Shallow Term Rewrite Systems. - Nicholas R. Radcliffe; Rakesh M. Verma (FSTTCS, 2010)

R-LEAP+: randomizing LEAP+ key distribution to resist replay and jamming attacks. - Sam Blackshear; Rakesh M. Verma (SAC, 2010)

A Ranking-based Approach for Multiple-document Information Extraction. - Araly Barrera; Rakesh M. Verma (TAC, 2010)

A polynomial algorithm for uniqueness of normal forms of linear shallow term rewrite systems. - Julian Zinn; Rakesh M. Verma (Appl. Algebra Eng. Commun. Comput., 2010)

Improving an undergraduate data mining course with real-world projects. - Ping Chen 001; Irene Chen; Rakesh M. Verma (J. Comput. Sci. Coll., 2010)

Automated extractive single-document summarization: beating the baselines with a new approach. - Araly Barrera; Rakesh M. Verma (SAC, 2011)

SemQuest: University of Houston's Semantics-based Question Answering System. - Araly Barrera; Rakesh M. Verma; Ryan E. Vincent (TAC, 2011)

Does Unification Help in Normalization? - Rakesh M. Verma; Wei Guo (UNIF, 2011)

Designing an undergraduate data mining course by matching teaching strategies with student learning styles. - Ping Chen 001; Irene Chen; Rakesh M. Verma (J. Comput. Sci. Coll., 2011)

Two-Pronged Phish Snagging. - Rakesh M. Verma; Narasimha K. Shashidhar; Nabil Hossain (ARES, 2012)

Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization. - Araly Barrera; Rakesh M. Verma (CICLing (2), 2012)

Detecting Phishing Emails the Natural Language Way. - Rakesh M. Verma; Narasimha K. Shashidhar; Nabil Hossain (ESORICS, 2012)

A data mining hypertextbook: design, implementation and experience. - Rakesh M. Verma; Ping Chen 001 (J. Comput. Sci. Coll., 2012)

Semantic Feature Selection for Text with Application to Phishing Email Detection. - Rakesh M. Verma; Nabil Hossain (ICISC, 2013)

Modeling and analysis of LEAP, a key management protocol for wireless sensor networks. - Rakesh M. Verma; Bailey E. Basile (SECON, 2013)

Catching Classical and Hijack-Based Phishing Attacks. - Tanmay Thakur; Rakesh M. Verma (ICISS, 2014)

Panel: Essential Data Analytics Knowledge forCyber-security Professionals and Students. - Wenyaw Chan; George Cybenko; Murat Kantarcioglu; Ernst L. Leiss; Thamar Solorio; Bhavani Thuraisingham; Rakesh M. Verma (IWSPA@CODASPY, 2015)

On the Character of Phishing URLs: Accurate and Robust Statistical Learning Classifiers. - Rakesh M. Verma; Keith Dyer (CODASPY, 2015)

Topic based segmentation of classroom videos. - Tayfun Tuna; Mahima Joshi; Varun Varghese; Rucha Deshpande; Jaspal Subhlok; Rakesh M. Verma (FIE, 2015)

Integrity Protection for Big Data Processing with Dynamic Redundancy Computation. - Zhimin Gao; Nicholas DeSalvo; Pham Dang Khoa; Seung-Hun Kim; Lei Xu 012; Won Woo Ro; Rakesh M. Verma; Weidong Shi (ICAC, 2015)

A New Approach for Idiom Identification Using Meanings and the Web. - Rakesh M. Verma; Vasanthi Vuppuluri (RANLP, 2015)

Phish-IDetector: Message-Id Based Automatic Phishing Detection. - Rakesh M. Verma; Nirmala Rai (SECRYPT, 2015)

Security Analytics: Essential Data Analytics Knowledge for Cybersecurity Professionals and Students. - Rakesh M. Verma; Murat Kantarcioglu; David J. Marchette; Ernst L. Leiss; Thamar Solorio (IEEE Secur. Priv., 2015)

The Efficacy of Epidemic Algorithms on Detecting Node Replicas in Wireless Sensor Networks. - Narasimha K. Shashidhar; Chadi Kari; Rakesh M. Verma (J. Sens. Actuator Networks, 2015)

Mining the Web for Collocations: IR Models of Term Associations. - Rakesh M. Verma; Vasanthi Vuppuluri; An Nguyen; Arjun Mukherjee; Ghita Mammar; Shahryar Baki; Reed Armstrong (CICLing (1), 2016)

University of Houston at CL-SciSumm 2016: SVMs with tree kernels and Sentence Similarity. - Luis F. T. Moraes; Shahryar Baki; Rakesh M. Verma; Daniel Lee (BIRNDL@JCDL, 2016)

Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. - Shahryar Baki; Rakesh M. Verma; Arjun Mukherjee; Omprakash Gnawali (AsiaCCS, 2017)

Comprehensive Method for Detecting Phishing EmailsUsing Correlation-based Analysis and User Participation. - Rakesh M. Verma; Ayman El Aassal (CODASPY, 2017)

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

ICE: Idiom and Collocation Extractor for Research and Education. - Vasanthi Vuppuluri; Shahryar Baki; An Nguyen; Rakesh M. Verma (EACL (Software Demonstrations), 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)

The INSuRE Project: CAE-Rs Collaborate to Engage Students in Cybersecurity Research. - Alan T. Sherman; Melissa Dark; Agnes H. Chan; Rylan Chong; Thomas H. Morris; Linda Oliva; John A. Springer; Bhavani Thuraisingham; Christopher Vatcher; Rakesh M. Verma; Susanne Wetzel (CoRR, 2017)

Extractive Summarization: Limits, Compression, Generalized Model and Heuristics. - Rakesh M. Verma; Daniel Lee (Computación y Sistemas, 2017)

INSuRE: Collaborating Centers of Academic Excellence Engage Students in Cybersecurity Research. - Alan T. Sherman; Melissa Dark; Agnes H. Chan; Rylan Chong; Thomas H. Morris; Linda Oliva; John A. Springer; Bhavani Thuraisingham; Christopher Vatcher; Rakesh M. Verma; Susanne Wetzel (IEEE Secur. Priv., 2017)

Uniqueness of Normal Forms for Shallow Term Rewrite Systems. - Nicholas R. Radcliffe; Luis F. T. Moraes; Rakesh M. Verma (ACM Trans. Comput. Log., 2017)

Machine Learning Methods for Software Vulnerability Detection. - Boris Chernis; Rakesh M. Verma (IWSPA@CODASPY, 2018)

Security Analytics: Adapting Data Science for Security Challenges. - Rakesh M. Verma (IWSPA@CODASPY, 2018)

Phishing Email Detection Using Robust NLP Techniques. - Gal Egozi; Rakesh M. Verma (ICDM Workshops, 2018)

Performance Evaluation of Features and Clustering Algorithms for Malware. - Houtan Faridi; Srivathsan Srinivasagopalan; Rakesh M. Verma (ICDM Workshops, 2018)

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

Identifying reference spans: topic modeling and word embeddings help IR. - Luis F. T. Moraes; Shahryar Baki; Rakesh M. Verma; Daniel Lee (Int. J. Digit. Libr., 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)

Data Quality for Security Challenges: Case Studies of Phishing, Malware and Intrusion Detection Datasets. - Rakesh M. Verma; Victor Zeng; Houtan Faridi (CCS, 2019)

Parameter Tuning and Confidence Limits of Malware Clustering. - Houtan Faridi; Srivathsan Srinivasagopalan; Rakesh M. Verma (CODASPY, 2019)

Newswire versus Social Media for Disaster Response and Recovery. - Rakesh M. Verma; Samaneh Karimi; Daniel Lee; Omprakash Gnawali; Azadeh Shakery (CoRR, 2019)

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

The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories. - Alan T. Sherman; Josiah Dykstra; Gregory V. Bard; Ankur Chattopadhyay; Filipo Sharevski; Rakesh M. Verma; Ryan Vrecenar; Linda Oliva; Enis Golaszewski; Dhananjay S. Phatak; Travis Scheponik; Geoffrey L. Herman; et al. (IEEE Secur. Priv., 2019)

Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders. - Shahryar Baki; Rakesh M. Verma; Omprakash Gnawali (AsiaCCS, 2020)

PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. - Victor Zeng; Xin Zhou; Shahryar Baki; Rakesh M. Verma (CCS, 2020)

Developing A Compelling Vision for Winning the Cybersecurity Arms Race. - Elisa Bertino; Anoop Singhal; Srivathsan Srinivasagopalan; Rakesh M. Verma (CODASPY, 2020)

Adversarial Machine Learning for Text. - Daniel Lee; Rakesh M. Verma (IWSPA@CODASPY, 2020)

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)

Phishing Sites Detection from a Web Developer's Perspective Using Machine Learning. - Xin Zhou; Rakesh M. Verma (HICSS, 2020)

Poster: A Modular and Innovative Security Analytics Course. - Rakesh M. Verma (SIGCSE, 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)

Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack. - Shahryar Baki; Rakesh M. Verma; Arjun Mukherjee; Omprakash Gnawali (CoRR, 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)

On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. - Amartya Hatua; Arjun Mukherjee; Rakesh M. Verma (ROMCIR@ECIR, 2021)

Claim Verification Using a Multi-GAN Based Model. - Amartya Hatua; Arjun Mukherjee; Rakesh M. Verma (RANLP, 2021)

Capacity Expansion in Cybersecurity: Challenges and Prospects. - Rakesh M. Verma (SIGCSE, 2021)

What is the Security Mindset? Can it be Developed? - Rakesh M. Verma; Rangarajan Ray Parthasarathy; Lila Ghemri (SIGCSE, 2021)

Online news media website ranking using user-generated content. - Samaneh Karimi; Azadeh Shakery; Rakesh M. Verma (J. Inf. Sci., 2021)

Vulnerability Detection via Multimodal Learning: Datasets and Analysis. - Xin Zhou; Rakesh M. Verma (AsiaCCS, 2022)

Data Quality and Linguistic Cues for Domain-independent Deception Detection. - Casey Hanks; Rakesh M. Verma (BDCAT, 2022)

Leveraging Synthetic Data and PU Learning For Phishing Email Detection. - Fatima Zahra Qachfar; Rakesh M. Verma; Arjun Mukherjee (CODASPY, 2022)

Does Deception Leave a Content Independent Stylistic Trace? - Victor Zeng; Xuting Liu; Rakesh M. Verma (CODASPY, 2022)

Software Vulnerability Detection via Multimodal Deep Learning. - Xin Zhou; Rakesh M. Verma (STM, 2022)

Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate. - Rakesh M. Verma; Nachum Dershowitz; Victor Zeng; Xuting Liu (CoRR, 2022)

Adversarial Robustness of Phishing Email Detection Models. - Parisa Mehdi Gholampour; Rakesh M. Verma (IWSPA@CODASPY, 2023)

USDOT Tier-1 University Transportation Center for Advancing Cybersecurity Research and Education. - Yunpeng Jack Zhang; Kailai Wang; Lingguang Song; Amaury Lendasse; Houbing Herbert Song; Zhu Han 001; Rakesh M. Verma; Arlei Silva; Carlos E. Rubio-Medrano; Zhixia Richard Li; Guohui Zhang 001 (MOST, 2023)

ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features. - Fatima Zahra Qachfar; Rakesh M. Verma (SemEval@ACL, 2023)

ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection. - Fatima Zahra Qachfar; Rakesh M. Verma (ArabicNLP, 2023)

DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection. - Bryan Tuck; Fatima Zahra Qachfar; Dainis Boumber; Rakesh M. Verma (ArabicNLP, 2023)

Sixteen Years of Phishing User Studies: What Have We Learned? - Shahryar Baki; Rakesh M. Verma (IEEE Trans. Dependable Secur. Comput., 2023)

Enhancement of Twitter event detection using news streams. - Samaneh Karimi; Azadeh Shakery; Rakesh M. Verma (Nat. Lang. Eng., 2023)

Rebutting Rebuttals. - Nachum Dershowitz; Rakesh M. Verma (Commun. ACM, 2023)

DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages. - Fatima Zahra Qachfar; Bryan Tuck; Rakesh M. Verma (CASE, 2024)

LLMs for Explainable Few-shot Deception Detection. - Dainis Boumber; Bryan E. Tuck; Rakesh M. Verma; Fatima Zahra Qachfar (IWSPA@CODASPY, 2024)

Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges. - Casey Hanks; Shanina Ko; Emily Nguyen; Rakesh M. Verma (IWSPA@CODASPY, 2024)

Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark. - Dainis Boumber; Fatima Zahra Qachfar; Rakesh M. Verma (LREC/COLING, 2024)

All Your LLMs Belong to Us: Experiments with a New Extortion Phishing Dataset. - Fatima Zahra Qachfar; Rakesh M. Verma (DBSec, 2024)

Effects of Soft-Domain Transfer and Named Entity Information on Deception Detection. - Steven Triplett; Simon Minami; Rakesh M. Verma (ICISS, 2024)

Data Quality in NLP: Metrics and a Comprehensive Taxonomy. - Vu Minh Hoang Dang; Rakesh M. Verma (IDA (1), 2024)

Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection. - Dainis Boumber; Rakesh M. Verma; Fatima Zahra Qachfar (SDM, 2024)

Domain-Independent Deception: A New Taxonomy and Linguistic Analysis. - Rakesh M. Verma; Nachum Dershowitz; Victor Zeng; Dainis Boumber; Xuting Liu (CoRR, 2024)

Homograph Attacks on Maghreb Sentiment Analyzers. - Fatima Zahra Qachfar; Rakesh M. Verma (CoRR, 2024)

A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection. - Dainis Boumber; Rakesh M. Verma; Fatima Zahra Qachfar (CoRR, 2024)

Unmasking the Imposters: In-Domain Detection of Human vs. Machine-Generated Tweets. - Bryan E. Tuck; Rakesh M. Verma (CoRR, 2024)

The Pitfalls of Publishing in the Age of LLMs: Strange and Surprising Adventures with a High-Impact NLP Journal. - Rakesh M. Verma; Nachum Dershowitz (CoRR, 2024)

Pitfalls of Publishing in the Age of LLMs. - Rakesh M. Verma; Nachum Dershowitz (AI Matters, 2024)

Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets. - Bryan E. Tuck; Rakesh M. Verma (COLING, 2025)

Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages. - Vu Minh Hoang Dang; Rakesh M. Verma (IDA, 2025)

An Agent-Based Model for Evaluating Connected and Autonomous Vehicles, Collective Behaviors and Traffic System Performance. - Rajkumar Konka; Rakesh M. Verma; Shun Cao; Yunpeng Zhang (SP (Workshops), 2025)

Real-Time, Evidence-Based Alerts for Protection From Phishing Attacks. - Shahryar Baki; Fatima Zahra Qachfar; Rakesh M. Verma; Ryan Kennedy; Daniel Jones 003 (IEEE Trans. Dependable Secur. Comput., 2025)

Autoencoder-Based Framework to Capture Vocabulary Quality in NLP. - Vu Minh Hoang Dang; Rakesh M. Verma (CoRR, 2025)

Assessing Representation Stability for Transformer Models. - Bryan E. Tuck; Rakesh M. Verma (CoRR, 2025)