Publications
J. Benzel and M. Rege, “AI Ethics in Practice: Exploring Racial and Ethnic Stereotypes in Synthetic Resumes Written by ChatGPT”, in Proceedings of the 4th International Conference on Artificial Intelligence and Knowledge Processing, Aug 22-24, 2024, Johannesburg, South Africa.
R. Menon and M. Rege, “Deciphering Excellence in Hospitality: A Study on India's Premier Hotels using Natural Language Processing”, in Proceedings of the 4th International Conference on Artificial Intelligence and Knowledge Processing, Aug 22-24, 2024, Johannesburg, South Africa.
I. Alhassan and M. Rege, “Decoding Engineering Education: Student Feedback Analysis through Latent Dirichlet Allocation”, in Proceedings of the 4th International Conference on Artificial Intelligence and Knowledge Processing, Aug 22-24, 2024, Johannesburg, South Africa.
S. M. Ganie, Hemachandran K, and M. Rege, “Transfer Learning for Potato Leaf Disease Detection”, in Proceedings of the 18th Research Challenges in Information Science, May 14-17, 2024, Guimarães, Portugal.
G. V. Shobika, S. P. Siddharth, Vishwa KD, Hemachandran K, and M. Rege, “ANN Model for Analytics”, in Artificial Intelligence and Knowledge Processing: Improved Decision Making and Prediction, CRC Press, Taylor & Francis, 2024.
Manjeet Rege and Hemachandran K, “Generative AI’s Real-World Impact on Job Markets”, May 28, 2024.
S. Darly, D. Kadhiravan, Hemachandran K, and M. Rege, “Simulation Strategies for Analyzing of data”, in Handbook of Artificial Intelligence and Wearables”, CRC Press, Taylor and Francis, 2023.
C. Johnson and M. Rege, “Performance of Sentiment Analysis APIs on Political Opinion Polling”, in Proceedings of the 3rd International Conference on Artificial Intelligence and Knowledge Processing, October 6-8, 2023, Hyderabad, India.
S. Dalmia and M. Rege, “Anomalous sound pattern detection for machine health monitoring”, in Proceedings of the 3rd International Conference on Artificial Intelligence and Knowledge Processing, October 6-8, 2023, Hyderabad, India.
M. S. Sharmila, K. S. Kumar, S. M. Ganie, Hemachandran K, and M. Rege, "Performance Evaluation of various Machine Learning Algorithms for Lung Cancer Prediction using Demographic Data", in Proceedings of the 3rd International Conference on Artificial Intelligence and Knowledge Processing, October 6-8, 2023, Hyderabad, India.
Manjeet Rege, “Executive Order on Artificial Intelligence Puts the US in the Driver’s Seat”, Oct 31, 2023.
Manjeet Rege, “Generative AI’s Impact on American Jobs”, Aug 29, 2023.
Manjeet Rege and Dan Yarmoluk, “The Impact of Artificial Intelligence and ChatGPT on Education”, April 12, 2023.
A. Sanusi, S. Nanda, S. Panjwani, S. Islam, M. Rege, “Serverless data pipeline for data-driven decision making to mitigate pet surrenders”, in Issues in Information Systems, Vol 23, Issue 2, pp. 242-254, 2022.
K. Auer and M. Rege, “Predicting 30+ Day Late Mortgage Payments”, in Proceedings of the 62nd International Association for Computer Information Systems Conference, October 5 - 8, 2022, Las Vegas.
P. Tumu, V. Manchenasetty, and M. Rege, “Breast Cancer Survival Analysis using ML Models”, in Issues in Information Systems, Vol 22, Issue 2, pp. 296-305, 2021.
J. Hammond, M. Caouette, and M. Rege, “Analyzing COVID-19 time-series data and government policy responses for forecasting deaths”, Issues in Information Systems, Vol 22, Issue 2, pp. 119-132, 2021.
A. Khatri, D. Labajo, and M. Rege, “Reliability of NLP Models to Predict Human Sentiments”, in Issues in Information Systems, Vol 22, Issue 4, pp. 33-48, 2021.
T. Le and M. Rege, “Effectiveness feature for micro-expression recognition”, in Proceedings of IEEE 22nd International Conference on Information Reuse and Integration for Data Science, Aug 10-12, 2021.
T. Le, T. Tran, and M. Rege, “Rank-Pooling-Based Features on Localized Regions for Automatic Micro-Expression Recognition”, in International Journal of Multimedia Data Engineering and Management, Vol 11, Issue 4, 2020.
T. Le, T. Tran, and M. Rege, “Dynamic image for micro-expression recognition on region-based framework”, in Proceedings of IEEE 21st International Conference on Information Reuse and Integration for Data Science, Aug 11-13, 2020.
R. Panda, P. Sivaprakasam, and M. Rege, “A computational analysis of the impact of population and number of police officers on assault against Law Enforcement Officers”, in Issues in Information Systems, Vol 21, Issue 2, pp. 150-157, 2020.
L. Butler and M. Rege, “Building an Analytical Model to Predict Workforce Outcomes in Medical Education”, in Issues in Information Systems, Vol 21, Issue 2, pp. 229-237, 2020.
T. White and M. Rege, “Sentiment Analysis on Google Cloud Platform”, in Issues in Information Systems, Vol 21, Issue 2, pp. 221-228, 2020.
E. Friedman, R. Kolakaluri, and M. Rege, “Benford’s Law Applied to Precinct Level Election Data”, in Issues in Information Systems, Vol 21, Issue 2, pp. 238-247, 2020.
P. Tumu, V. Manchenasetty, and M. Rege, “Context Based Sentiment Analysis Approach Using N-Gram and Word Vectorization Methods”, in Issues in Information Systems, Vol 21, Issue 3, pp. 59-65, 2020.
Manjeet Rege and Dan Yarmoluk, “Artificial Intelligence and its impact on jobs”, Nov 19, 2020.
Michael Gale, Tom Marlow, Manjeet Rege, Dan Yarmoluk, “Global Battle for AI Dominance: Using Intellectual Property to Determine Economic Impact”, May 20, 2020.
B. Jackson and M. Rege, “Machine Learning for Classification of Economic Recessions”, in Proceedings of IEEE 20th International Conference on Information Reuse and Integration for Data Science, Los Angeles, CA, July 30-Aug1, 2019.
K. Wu and M. Rege, “Hibiki: A Graph Visualization of Asian Music”, in Proceedings of IEEE 20th International Conference on Information Reuse and Integration for Data Science, Los Angeles, CA, July 30-Aug1, 2019.
R. Mbah, M. Rege, and B. Misra, “Using Spark and Scala for Discovering Latent Trends in Job Markets”, in Proceedings of 2019 The 3rd International Conference on Compute and Data Analysis, Maui, Hawaii, March 14-17, 2019.
M. Rege and R. Mbah, “Machine Learning for Cyber Defense and Attack”, in Proceedings of The Seventh International Conference on Data Analytics, Athens, Greece, November 18-22, 2018.
R. Mattani, M, Rege, B. Keaveny, “Comparative Analysis of Supervised Machine Learning Techniques on K-12 Educational Data”, in Proceedings of The Tenth International Conference on Advances in Databases, Knowledge, and Data Applications, Nice, France, May 20- 24, 2018.
R. Mbah, M. Rege, B. Misra, “Discovering Job Market Trends with Text Analytics”, in proceedings of the International Conference on Information Technology, Bhubaneswar, India, Dec 21-23, 2017.
J. Smith and M. Rege “The Data Swarm – A Next Step for Distributed Data Analytics”, in International Journal of Information Retrieval Research, Vol. 6 Issue 1, pages 52-64, IGI Global, 2016.
S. Dinakar, P. Andhale, and M. Rege, “Sentiment Analysis of Social Network Content”, in Proceedings of the 16th IEEE International Conference on Information Reuse and Integration, San Francisco, CA, August 13-15, 2015.
A. Salunke, M. Rege, and R. Bailey, “Evolutionary Image Co-clustering with User Feedbacks”, in Proceedings of 30th International Conference on Computers and Their Applications, Honolulu, Hawaii, Mar 9-11, 2015.
A. Oest and M. Rege, "Leveraging User Feedback for Automated Web Page Inline Linking", in International Journal Multimedia and Image Processing, Vol 4, pages 188-197, 2014.
N. Moseley, C. Alm, and M. Rege, "Toward Inferring the Age of Twitter Users with their Use of Nonstandard Abbreviations and Lexicon", in Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, San Francisco, CA, August 13-15, 2014.
N. Moseley, C. Alm, and M. Rege, "User-Annotated Microtext Data for Modeling and Analyzing Users’ Sociolinguistic Characteristics and Age Grading", in Proceedings of the IEEE Eighth International Conference on Research Challenges in Information Science, Marrakesh, Morocco, pages 221-226, May 28-30 2014.
O. Patrick, M. Rege, and R. Bailey, "Extending Space Colonization Tree Modeling for Artistic Control and Environmental Interactions", in Proceedings of the 9th International Conference on Computer Graphics Theory and Applications, Lisbon, Portugal, pages 128-135, Jan 5-8, 2014.
A. Oest, and M. Rege, "Feedback-Driven Clustering for Automated Linking of Web Pages", in Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, London, UK, pages 349-354, December 9-12, 2013.
A. Knight, Q. Yu, and M. Rege, “Efficient Range Query Processing on Complicated Uncertain Data”, in Information Reuse and Integration in Academia and Industry, Chapter 3, Springer-Verlag, ISBN: 978-3-7091-1537-4, pages 51-72, 2013.
M. Rege, J. Koruthu, and R. Bailey “On Knowledge-Enhanced Document Clustering”, in International Journal of Information Retrieval Research, Vol. 2 Issue 3, pages 72-82, 2012.
L. Wang, M. Rege, M. Dong, and Y. Ding, "Low-rank Kernel Matrix Factorization for Large Scale Evolutionary Clustering", in IEEE Transactions on Knowledge and Data Engineering, Vol. 24, No. 6, pages 1036 – 1050, 2012.
A. Salunke, M. Rege, X. Liu, “Semi-supervised approaches for Clustering bi-type Data”, in International Journal of Business Intelligence and Data Mining, Vol. 7, Nos. 1/2, 2012.
J. Koruthu, M. Rege, and R. Bailey, “A Framework for User Guided Document Clustering”, in Proceedings of 52nd Annual IACIS International Conference, 2012.
J. Xu, O. Kyaw, D. Slambekova, M. Rege, and R. Bailey, "GAZE-CON: A Gaze-controlled application framework", in Proceedings of 52nd Annual IACIS International Conference, 2012.
J. Coddington, J. Xu, S. Sridharan, M. Rege, and R. Bailey, "Gaze-based image retrieval system using dual eye-trackers", in Proceedings of IEEE International Conference on Emerging Signal Processing Applications, 2012.
N. Green, M. Rege, and X. Liu, “Evolutionary Spectral Co-Clustering”, in Proceedings of International Joint Conference on Neural Networks, 2011.
A. Salunke, M. Nguyen, X. Liu, and M. Rege, “Web Service Discovery using Semi-supervised Block Value Decomposition”, in Proceedings of IEEE International Conference on Information Reuse and Integration, 2011.
A. Knight, Q. Yu, and M. Rege, “Efficient Range Query Processing on Uncertain Data”, in Proceedings of IEEE International Conference on Information Reuse and Integration, 2011.
J. Arita, J. Feliz, D. Rodriguez, H. P. Bischof, M. Rege, and R. Bailey, "Creating audience specific galactic simulations using eye-tracking technology", in Proceedings of International Conference on Information Visualization Theory and Applications, Algarve, Portugal, March 5-7, 2011.
Q. Yu, M. Rege, A. Bouguettaya, B. Medjahed and M. Ouzzani, "A Two-phase Framework for Quality-aware Web Service Selection", in Service Oriented Computing and Applications Journal, Springer, 2010.
X. Liu, C. Liu, M. Rege, and A. Bouguettaya "Semantic Support for Adaptive Long Term Composed Services", in Proceedings of IEEE International Conference on Web Services, 2010.
Q. Yu and M. Rege, "On Service Community Learning: A Co-Clustering Approach", in Proceedings of IEEE International Conference on Web Services, 2010.
M. Rege, R. Bailey, and X. Liu, “Inferring Semantics with Object Feedback”, in Proceedings of International Conference on Data Mining and Intelligent Information Technology Applications, 2010.
N. Green, M. Rege, and J. Noel-Storr, "Mining Family Learning Data: NASA Family Science Night Experiment”, in Proceedings of International Conference on Education and New Learning Technologies, 2010.
M. Rege and R. Agrawal, "A Bayesian Framework for Feedback in region based Image Retrieval", in Proceedings of International Conference on Advanced Topics in Artificial Intelligence, 2010.
A. Donavalli, M. Rege, X. Liu, and K. Jafari-Khouzani, "Low-rank Matrix Factorization and Co-clustering Algorithms for Analyzing Large Data Sets", in Proceedings of Workshop on Data Mining with Graphs and Matrices, in conjunction with International Conference on Data Engineering and Management, Lecture Notes Computer Science, volume 6411, 2010.
B. Desai, P. Andhale, M. Rege, and Q. Yu, "Biclustering and Feature Selection Techniques in Bioinformatics", in Proceedings of Workshop on Data Mining with Graphs and Matrices, in conjunction with International Conference on Data Engineering and Management, Lecture Notes Computer Science, volume 6411, 2010.
Qi Yu and Manjeet Rege, “A Relational Approach for Efficient Service Selection”, in proceedings of IEEE International Conference on Web Services, 2009.
M. Rege and M. Dong, “A Graph Theoretic approach to Heterogeneous Data Clustering: New Research Directions and Some Results”, in VDM Verlag, 2009.
M. Rege and Qi Yu, “Efficient Mining of Heterogeneous Star-structured Data”, in International Journal of Software and Informatics, special issue on Data Mining, Institute of Software of the Chinese Academy of Sciences, Science Press, Vol. 2, No. 2, pages 141-161, 2008.
Y. Chen, M. Rege, M. Dong and J. Hua, “Non-negative Matrix Factorization for Semi-supervised Data Clustering”, in Knowledge and Information Systems Journal, Springer, Vol. 17, No. 3, 2008.
M. Rege, M. Dong and F. Fotouhi, “Bipartite Isoperimetric Graph Partitioning for Data Co-clustering”, in Data Mining and Knowledge Discovery Journal, Springer, Vol. 16, No. 3, 2008.
M. Rege, M. Dong and J. Hua, “Graph Theoretical Framework for Simultaneously Integrating Visual and Textual Features for Efficient Web Image Clustering”, in Proceedings of 17th International Conference on World Wide Web, 2008.
M. Rege, M. Dong and F. Fotouhi, “Building a User-Centered Semantic Hierarchy in Image Databases”, in ACM Multimedia Systems Journal, Springer, Vol. 12, No. 4-5, pages 325-338, 2007.
M. Rege, M. Dong and F. Fotouhi, "Enhancing e-Business on the Semantic Web through Automatic Multimedia Representation", Semantic Web Technologies and E-Business, A. F. Salam and J. R. Stevens (Eds.), pages 154-168, Idea Group Publishing, 2007.
Y. Chen, M. Rege, M. Dong and J. Hua, “Incorporating User provided Constraints into Document Clustering”, in Proceedings of IEEE International Conference on Data Mining, 2007.
M. Rege, M. Dong and J. Hua, “Clustering Web Images with Multi-modal features”, in Proceedings of ACM International Conference on Multimedia, 2007.
Y. Chen, M. Rege, M. Dong and F. Fotouhi, “Deriving Semantics for Image Clustering from Accumulated User Feedbacks”, in Proceedings of ACM International Conference on Multimedia, 2007.
Y. Chen, M. Dong and M. Rege, “Gene Expression Clustering: a Novel Graph Partitioning Approach”, in Proceedings of International Joint Conference on Neural Networks, 2007.
M. Rege, M. Dong and F. Fotouhi, , “Co-clustering documents and words using Bipartite Isoperimetric Graph Partitioning”, in Proceedings of IEEE International Conference on Data Mining, 2006.
M. Rege, M. Dong and F. Fotouhi, “Co-clustering image features and semantic concepts”, in Proceedings of IEEE International Conference on Image Processing, 2006.
M. Rege, M. Dong and F. Fotouhi, “Finding a semantic structure interactively in image databases”, in Proceedings of IEEE International Conference on Multimedia and Expo, 2006.
M. Rege, M. Dong and F. Fotouhi “XML Path based Relevance Model for Automatic Image Annotation”, in Proceedings of IEEE International Conference on Multimedia and Expo, 2005.
M. Rege, M. Dong, F. Fotouhi, M. Siadat and L. Zamorano "Using MPEG-7 to build a Human Brain Image Database for Image-guided Neurosurgery", in Proceedings of SPIE International Symposium on Medical Imaging, 2005.
R. Agrawal and M. Rege, “Data integration from scientific data sources: A Survey”, in Proceedings of 7th International Workshop on Computer Science and Information Technologies, 2005.
M. Rege, I. Caraconcea, S. Lu and F. Fotouhi, "Querying XML Documents from a Relational Database in the Presence of DTDs", in Proceedings of the International Conference on Distributed Computing and Internet Technology, 2004.