An Incremental Interactive Algorithm for Regular Grammar Inference. - Rajesh Parekh; Vasant G. Honavar (AAAI/IAAI, Vol. 2, 1996)

Constructive Neural Network Learning Algorithms. - Rajesh Parekh; Jihoon Yang; Vasant G. Honavar (AAAI/IAAI, Vol. 2, 1996)

An incremental interactive algorithm for grammar inference. - Rajesh Parekh; Vasant G. Honavar (ICGI, 1996)

MUpstart-a constructive neural network learning algorithm for multi-category pattern classification. - Rajesh Parekh; Jihoon Yang; Vasant G. Honavar (ICNN, 1997)

Pruning strategies for the MTiling constructive learning algorithm. - Rajesh Parekh; Jihoon Yang; Vasant G. Honavar (ICNN, 1997)

A Polynominal Time Incremental Algorithm for Learning DFA. - Rajesh Parekh; Codrin M. Nichitiu; Vasant G. Honavar (ICGI, 1998)

Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples. - Rajesh Parekh; Vasant G. Honavar (ICML, 1999)

Data-Driven Theory Refinement Using KBDistAl. - Jihoon Yang; Rajesh Parekh; Vasant G. Honavar; Drena Dobbs (IDA, 1999)

Data-driven theory refinement algorithms for bioinformatics. - Jihoon Yang; Rajesh Parekh; Vasant G. Honavar; Drena Dobbs (IJCNN, 1999)

DistAl: An inter-pattern distance-based constructive learning algorithm. - Jihoon Yang; Rajesh Parekh; Vasant G. Honavar (Intell. Data Anal., 1999)

On the Relationship between Models for Learning in Helpful Environments. - Rajesh Parekh; Vasant G. Honavar (ICGI, 2000)

An empirical comparison of the performance so single-layer algorithms for training threshold logic units. - Rajesh Parekh; Jihoon Yang; Vasant G. Honavar (Neural Parallel Sci. Comput., 2000)

Constructive neural-network learning algorithms for pattern classification. - Rajesh Parekh; Jihoon Yang; Vasant G. Honavar (IEEE Trans. Neural Networks Learn. Syst., 2000)

Learning DFA from Simple Examples. - Rajesh Parekh; Vasant G. Honavar (Mach. Learn., 2001)

Visualizing RFM Segmentation. - Ron Kohavi; Rajesh Parekh (SDM, 2004)

Lessons and Challenges from Mining Retail E-Commerce Data. - Ron Kohavi; Llew Mason; Rajesh Parekh; Zijian Zheng 002 (Mach. Learn., 2004)

Combining Behavioral and Social Network Data for Online Advertising. - Abraham Bagherjeiran; Rajesh Parekh (ICDM Workshops, 2008)

Predicting product adoption in large-scale social networks. - Rushi Bhatt; Vineet Chaoji; Rajesh Parekh (CIKM, 2010)

Large-Scale Customized Models for Advertisers. - Abraham Bagherjeiran; Andrew O. Hatch; Adwait Ratnaparkhi; Rajesh Parekh (ICDM Workshops, 2010)

Online Advertising in Social Networks. - Abraham Bagherjeiran; Rushi Bhatt; Rajesh Parekh; Vineet Chaoji (Handbook of Social Network Technologies, 2010)

A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns. - Ashish Mangalampalli; Adwait Ratnaparkhi; Andrew O. Hatch; Abraham Bagherjeiran; Rajesh Parekh; Vikram Pudi (WWW (Companion Volume), 2011)

Learning to predict subject-line opens for large-scale email marketing. - Raju Balakrishnan; Rajesh Parekh (IEEE BigData, 2014)

Controlled experimentation in recommendations, ranking & response prediction. - Ya Xu; Rajesh Parekh; Juliette Aurisset (RecSys, 2014)

An Engagement-Based Customer Lifetime Value System for E-commerce. - Ali Vanderveld; Addhyan Pandey; Angela Han; Rajesh Parekh (KDD, 2016)

Designing AI at Scale to Power Everyday Life. - Rajesh Parekh (KDD, 2017)