Rakesh M. Verma

According to our database, Rakesh M. Verma authored at least 135 papers between 1986 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Unmasking the Imposters: In-Domain Detection of Human vs. Machine-Generated Tweets.

Bryan E. Tuck, Rakesh M. Verma

CoRR, 2024

A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection.

Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar

CoRR, 2024

Homograph Attacks on Maghreb Sentiment Analyzers.

Fatima Zahra Qachfar, Rakesh M. Verma

CoRR, 2024

Domain-Independent Deception: A New Taxonomy and Linguistic Analysis.

Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu

CoRR, 2024

Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection.

Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Data Quality in NLP: Metrics and a Comprehensive Taxonomy.

Vu Minh Hoang Dang, Rakesh M. Verma

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

All Your LLMs Belong to Us: Experiments with a New Extortion Phishing Dataset.

Fatima Zahra Qachfar, Rakesh M. Verma

Proceedings of the Data and Applications Security and Privacy XXXVIII, 2024

Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark.

Dainis Boumber, Fatima Zahra Qachfar, Rakesh M. Verma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges.

Casey Hanks, Shanina Ko, Emily Nguyen, Rakesh M. Verma

Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2024

LLMs for Explainable Few-shot Deception Detection.

Dainis Boumber, Bryan E. Tuck, Rakesh M. Verma, Fatima Zahra Qachfar

Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2024

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

Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024

2023

Rebutting Rebuttals.

Nachum Dershowitz, Rakesh M. Verma

Commun. ACM, September, 2023

Enhancement of Twitter event detection using news streams.

Samaneh Karimi, Azadeh Shakery, Rakesh M. Verma

Nat. Lang. Eng., March, 2023

Sixteen Years of Phishing User Studies: What Have We Learned?

Shahryar Baki, Rakesh M. Verma

IEEE Trans. Dependable Secur. Comput., 2023

DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection.

Bryan Tuck, Fatima Zahra Qachfar, Dainis Boumber, Rakesh M. Verma

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection.

Fatima Zahra Qachfar, Rakesh M. Verma

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features.

Fatima Zahra Qachfar, Rakesh M. Verma

Proceedings of the The 17th International Workshop on Semantic Evaluation, 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, Rakesh M. Verma, Arlei Silva, Carlos E. Rubio-Medrano, Zhixia Richard Li, Guohui Zhang

Proceedings of the IEEE International Conference on Mobility, 2023

Adversarial Robustness of Phishing Email Detection Models.

Parisa Mehdi Gholampour, Rakesh M. Verma

Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023

2022

Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate.

Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Xuting Liu

CoRR, 2022

Software Vulnerability Detection via Multimodal Deep Learning.

Xin Zhou, Rakesh M. Verma

Proceedings of the Security and Trust Management - 18th International Workshop, 2022

Does Deception Leave a Content Independent Stylistic Trace?

Victor Zeng, Xuting Liu, Rakesh M. Verma

Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022

Leveraging Synthetic Data and PU Learning For Phishing Email Detection.

Fatima Zahra Qachfar, Rakesh M. Verma, Arjun Mukherjee

Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022

Data Quality and Linguistic Cues for Domain-independent Deception Detection.

Casey Hanks, Rakesh M. Verma

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

Vulnerability Detection via Multimodal Learning: Datasets and Analysis.

Xin Zhou, Rakesh M. Verma

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

Online news media website ranking using user-generated content.

Samaneh Karimi, Azadeh Shakery, Rakesh M. Verma

J. Inf. Sci., 2021

What is the Security Mindset? Can it be Developed?

Rakesh M. Verma, Rangarajan Ray Parthasarathy, Lila Ghemri

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Capacity Expansion in Cybersecurity: Challenges and Prospects.

Rakesh M. Verma

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Claim Verification Using a Multi-GAN Based Model.

Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis.

Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma

Proceedings of the workshop Reducing Online Misinformation Through Credible Information Retrieval (ROMCIR 2021) co-located with 43rd European Conference on Information Retrieval (ECIR 2021), 2021

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

Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners.

Avisha Das, Rakesh M. Verma

CoRR, 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

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

Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics.

Avisha Das, Rakesh M. Verma

IEEE Access, 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

Poster: A Modular and Innovative Security Analytics Course.

Rakesh M. Verma

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Phishing Sites Detection from a Web Developer's Perspective Using Machine Learning.

Xin Zhou, Rakesh M. Verma

Proceedings of the 53rd Hawaii International Conference on System Sciences, 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

Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

Adversarial Machine Learning for Text.

Daniel Lee, Rakesh M. Verma

Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

Developing A Compelling Vision for Winning the Cybersecurity Arms Race.

Elisa Bertino, Anoop Singhal, Srivathsan Srinivasagopalan, Rakesh M. Verma

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing.

Victor Zeng, Xin Zhou, Shahryar Baki, Rakesh M. Verma

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders.

Shahryar Baki, Rakesh M. Verma, Omprakash Gnawali

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

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, Dong San Choi, Spencer E. Offenberger, Peter Peterson

IEEE Secur. Priv., 2019

Automated email Generation for Targeted Attacks using Natural Language.

Avisha Das, Rakesh M. Verma

CoRR, 2019

Newswire versus Social Media for Disaster Response and Recovery.

Rakesh M. Verma, Samaneh Karimi, Daniel Lee, Omprakash Gnawali, Azadeh Shakery

CoRR, 2019

Parameter Tuning and Confidence Limits of Malware Clustering.

Houtan Faridi, Srivathsan Srinivasagopalan, Rakesh M. Verma

Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, 2019

Data Quality for Security Challenges: Case Studies of Phishing, Malware and Intrusion Detection Datasets.

Rakesh M. Verma, Victor Zeng, Houtan Faridi

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

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

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

University of Houston @ CL-SciSumm 2018.

Luis F. T. De Moraes, Avisha Das, Samaneh Karimi, Rakesh M. Verma

Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Performance Evaluation of Features and Clustering Algorithms for Malware.

Houtan Faridi, Srivathsan Srinivasagopalan, Rakesh M. Verma

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Phishing Email Detection Using Robust NLP Techniques.

Gal Egozi, Rakesh M. Verma

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Security Analytics: Adapting Data Science for Security Challenges.

Rakesh M. Verma

Proceedings of the Fourth ACM International Workshop on Security and Privacy Analytics, 2018

Machine Learning Methods for Software Vulnerability Detection.

Boris Chernis, Rakesh M. Verma

Proceedings of the Fourth ACM International Workshop on Security and Privacy Analytics, 2018

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

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

Extractive Summarization: Limits, Compression, Generalized Model and Heuristics.

Rakesh M. Verma, Daniel Lee

Computación y Sistemas, 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

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

Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

ICE: Idiom and Collocation Extractor for Research and Education.

Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, Rakesh M. Verma

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

What's in a URL: Fast Feature Extraction and Malicious URL Detection.

Rakesh M. Verma, Avisha Das

Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics, 2017

Comprehensive Method for Detecting Phishing EmailsUsing Correlation-based Analysis and User Participation.

Rakesh M. Verma, Ayman El Aassal

Proceedings of the Seventh ACM Conference on Data and Application Security and Privacy, 2017

Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation.

Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

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

Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) co-located with the Joint Conference on Digital Libraries 2016 (JCDL 2016), 2016

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

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

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

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

Phish-IDetector: Message-Id Based Automatic Phishing Detection.

Rakesh M. Verma, Nirmala Rai

Proceedings of the SECRYPT 2015, 2015

A New Approach for Idiom Identification Using Meanings and the Web.

Rakesh M. Verma, Vasanthi Vuppuluri

Proceedings of the Recent Advances in Natural Language Processing, 2015

Integrity Protection for Big Data Processing with Dynamic Redundancy Computation.

Zhimin Gao, Nicholas DeSalvo, Pham Dang Khoa, Seung-Hun Kim, Lei Xu, Won Woo Ro, Rakesh M. Verma, Weidong Shi

Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

Topic based segmentation of classroom videos.

Tayfun Tuna, Mahima Joshi, Varun Varghese, Rucha Deshpande, Jaspal Subhlok, Rakesh M. Verma

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

On the Character of Phishing URLs: Accurate and Robust Statistical Learning Classifiers.

Rakesh M. Verma, Keith Dyer

Proceedings of the 5th ACM Conference on Data and Application Security and Privacy, 2015

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

Proceedings of the 2015 ACM International Workshop on International Workshop on Security and Privacy Analytics, 2015

2014

Catching Classical and Hijack-Based Phishing Attacks.

Tanmay Thakur, Rakesh M. Verma

Proceedings of the Information Systems Security - 10th International Conference, 2014

2013

Modeling and analysis of LEAP, a key management protocol for wireless sensor networks.

Rakesh M. Verma, Bailey E. Basile

Proceedings of the 10th Annual IEEE International Conference on Sensing, 2013

Semantic Feature Selection for Text with Application to Phishing Email Detection.

Rakesh M. Verma, Nabil Hossain

Proceedings of the Information Security and Cryptology - ICISC 2013, 2013

2012

Detecting Phishing Emails the Natural Language Way.

Rakesh M. Verma, Narasimha K. Shashidhar, Nabil Hossain

Proceedings of the Computer Security - ESORICS 2012, 2012

Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization.

Araly Barrera, Rakesh M. Verma

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

Two-Pronged Phish Snagging.

Rakesh M. Verma, Narasimha K. Shashidhar, Nabil Hossain

Proceedings of the Seventh International Conference on Availability, 2012

2011

Does Unification Help in Normalization?

Rakesh M. Verma, Wei Guo

Proceedings of the 25th International Workshop on Unification, 2011

SemQuest: University of Houston's Semantics-based Question Answering System.

Araly Barrera, Rakesh M. Verma, Ryan Vincent

Proceedings of the Fourth Text Analysis Conference, 2011

Automated extractive single-document summarization: beating the baselines with a new approach.

Araly Barrera, Rakesh M. Verma

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

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

A Ranking-based Approach for Multiple-document Information Extraction.

Araly Barrera, Rakesh M. Verma

Proceedings of the Third Text Analysis Conference, 2010

R-LEAP+: randomizing LEAP+ key distribution to resist replay and jamming attacks.

Sam Blackshear, Rakesh M. Verma

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Uniqueness of Normal Forms is Decidable for Shallow Term Rewrite Systems.

Nicholas R. Radcliffe, Rakesh M. Verma

Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2010

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

Correcting and Improving the NP Proof for Cryptographic Protocol Insecurity.

Zhiyao Liang, Rakesh M. Verma

Proceedings of the Information Systems Security, 5th International Conference, 2009

2008

New Undecidability Results for Properties of Term Rewrite Systems.

Rakesh M. Verma

Proceedings of the Ninth International Workshop on Rule-Based Programming, 2008

Semantic Multi-Document Update Summarization Techniques.

Rakesh M. Verma, David Kent, Ping Chen

Proceedings of the First Text Analysis Conference, 2008

Visualization of rule-based programming.

Wenshan Yu, Rakesh M. Verma

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Complexity of Checking Freshness of Cryptographic Protocols.

Zhiyao Liang, Rakesh M. Verma

Proceedings of the Information Systems Security, 4th International Conference, 2008

Semantic Analysis of Association Rules.

Ping Chen, Rakesh M. Verma, Janet C. Meininger, Wenyaw Chan

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Improving Techniques for Proving Undecidability of Checking Cryptographic Protocols.

Zhiyao Liang, Rakesh M. Verma

Proceedings of the The Third International Conference on Availability, 2008

2006

Automata theory: its relevance to computer science students and course contents.

Michal Armoni, Susan H. Rodger, Moshe Y. Vardi, Rakesh M. Verma

Proceedings of the 37th SIGCSE Technical Symposium on Computer Science Education, 2006

A Query-Based Medical Information Summarization System Using Ontology Knowledge.

Ping Chen, Rakesh M. Verma

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

A new decidability technique for ground term rewriting systems with applications.

Rakesh M. Verma, Ara Hayrapetyan

ACM Trans. Comput. Log., 2005

A visual and interactive automata theory course emphasizing breadth of automata.

Rakesh M. Verma

Proceedings of the 10th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2005

2004

Remarks on Thatte's transformation of term rewriting systems.

Bas Luttik, Piet Rodenburg, Rakesh M. Verma

Inf. Comput., 2004

Deciding confluence of certain term rewriting systems in polynomial time.

Guillem Godoy, Ashish Tiwari, Rakesh M. Verma

Ann. Pure Appl. Log., 2004

Characterizing Confluence by Rewrite Closure and Right Ground Term Rewrite Systems.

Guillem Godoy, Ashish Tiwari, Rakesh M. Verma

Appl. Algebra Eng. Commun. Comput., 2004

2003

On the Confluence of Linear Shallow Term Rewrite Systems.

Guillem Godoy, Ashish Tiwari, Rakesh M. Verma

Proceedings of the STACS 2003, 20th Annual Symposium on Theoretical Aspects of Computer Science, Berlin, Germany, February 27, 2003

2002

Algorithms and reductions for rewriting problems II.

Rakesh M. Verma

Inf. Process. Lett., 2002

On the Structure of Counterexamples to Symmetric Orderings for BDD's.

Rakesh M. Verma, Sarah Hwang

Proceedings of the Computing: the Australasian Theory Symposium, 2002

K-tree/forest: efficient indexes for boolean queries.

Rakesh M. Verma, Sanjiv Behl

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

2001

RULE2001 - Foreword.

Mark van den Brand, Rakesh M. Verma

Proceedings of the Second International Workshop on Rule-Based Programming, 2001

Algorithms and Reductions for Rewriting Problems.

Rakesh M. Verma, Michaël Rusinowitch, Denis Lugiez

Fundam. Informaticae, 2001

Local and Symbolic Bisimulation Using Tabled Constraint Logic Programming.

Samik Basu, Madhavan Mukund, C. R. Ramakrishnan, I. V. Ramakrishnan, Rakesh M. Verma

Proceedings of the Logic Programming, 17th International Conference, 2001

Efficient declustering techniques for temporal access structures.

Sanjiv Behl, Rakesh M. Verma

Proceedings of the Twelfth Australasian Database Conference, 2001

2000

Static Analysis Techniques for Equational Logic Programming

Rakesh M. Verma

CoRR, 2000

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

L^arrowR²: A Laboratory fro Rapid Term Graph Rewriting.

Rakesh M. Verma, Shalitha Senanayake

Proceedings of the Rewriting Techniques and Applications, 10th International Conference, 1999

1998

RPO Constraint Solving Is in NP.

Paliath Narendran, Michaël Rusinowitch, Rakesh M. Verma

Proceedings of the Computer Science Logic, 12th International Workshop, 1998

1997

An Efficient Multiversion Access STructure.

Peter J. Varman, Rakesh M. Verma

IEEE Trans. Knowl. Data Eng., 1997

General Techniques for Analyzing Recursive Algorithms with Applications.

Rakesh M. Verma

SIAM J. Comput., 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

Unique Normal Forms for Nonlinear Term Rewriting Systems: Root Overlaps.

Rakesh M. Verma

Proceedings of the Fundamentals of Computation Theory, 11th International Symposium, 1997

1996

A New Combinatorial Approach to Optimal Embeddings of Rectangles.

Shou-Hsuan Stephen Huang, Hongfei Liu, Rakesh M. Verma

Algorithmica, 1996

1995

Transformations and Confluence for Rewrite Systems.

Rakesh M. Verma

Theor. Comput. Sci., 1995

A Theory of Using History for Equational Systems with Applications.

Rakesh M. Verma

J. ACM, 1995

Unique Normal Forms and Confluence of Rewrite Systems: Persistence.

Rakesh M. Verma

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

A General Method and a Master Theorem for Divide-and-Conquer Recurrences with Applications.

Rakesh M. Verma

J. Algorithms, 1994

1993

Smaran: A Congruence-Closure Based System for Equational Computations.

Rakesh M. Verma

Proceedings of the Rewriting Techniques and Applications, 5th International Conference, 1993

On Embeddings of Rectangles into Optimal Squares.

Shou-Hsuan Stephen Huang, Hongfei Liu, Rakesh M. Verma

Proceedings of the 1993 International Conference on Parallel Processing, 1993

1992

Tight Complexity Bounds for Term Matching Problems

Rakesh M. Verma, I. V. Ramakrishnan

Inf. Comput., November, 1992

Strings, Trees, and Patterns.

Rakesh M. Verma

Inf. Process. Lett., 1992

1991

A Theory of Using History for Equational Systems with Applications (Extended Abstract)

Rakesh M. Verma

Proceedings of the 32nd Annual Symposium on Foundations of Computer Science, 1991

1990

Nonoblivious Normalization Algorithms for Nonlinear Rewrite Systems.

Rakesh M. Verma, I. V. Ramakrishnan

Proceedings of the Automata, Languages and Programming, 17th International Colloquium, 1990

1989

An Analysis of a Good Algorithm for the Subtree Problem, Corrected.

Rakesh M. Verma, Steven W. Reyner

SIAM J. Comput., 1989

Term Matching on Parallel Computers.

R. Ramesh, Rakesh M. Verma, Krishnaprasad Thirunarayan, I. V. Ramakrishnan

J. Log. Program., 1989

Some Complexity Theoretic Aspects of AC Rewriting.

Rakesh M. Verma, I. V. Ramakrishnan

Proceedings of the STACS 89, 1989

1988

Optimal Time Bounds for Parallel Term Matching.

Rakesh M. Verma, I. V. Ramakrishnan

Proceedings of the 9th International Conference on Automated Deduction, 1988

1986

An Efficient Parallel Algorithm for Term Matching.

Rakesh M. Verma, Krishnaprasad Thirunarayan, I. V. Ramakrishnan

Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1986