Self-Learning Expert Systems using Rule Classifier in Detection Engines. - Uday Kamath (Artificial Intelligence and Pattern Recognition, 2008)

Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. - Uday Kamath; Amarda Shehu; Kenneth A. De Jong (BIONETICS, 2010)

Using evolutionary computation to improve SVM classification. - Uday Kamath; Amarda Shehu; Kenneth A. De Jong (IEEE Congress on Evolutionary Computation, 2010)

Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. - Uday Kamath; Kenneth A. De Jong; Amarda Shehu (GECCO, 2010)

An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. - Uday Kamath; Kenneth A. De Jong; Amarda Shehu (IEEE Congress on Evolutionary Computation, 2011)

A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. - Uday Kamath; Amarda Shehu; Kenneth A. De Jong (J. Bioinform. Comput. Biol., 2011)

A new methodology for the GP theory toolbox. - Jeffrey K. Bassett; Uday Kamath; Kenneth A. De Jong (GECCO, 2012)

A Spatial EA Framework for Parallelizing Machine Learning Methods. - Uday Kamath; Johan Kaers; Amarda Shehu; Kenneth A. De Jong (PPSN (1), 2012)

An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction. - Uday Kamath; Jack Compton; Rezarta Islamaj Dogan; Kenneth A. De Jong; Amarda Shehu (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

An analysis of a spatial EA parallel boosting algorithm. - Uday Kamath; Carlotta Domeniconi; Kenneth A. De Jong (GECCO, 2013)

A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. - Daniel Veltri; Uday Kamath; Amarda Shehu (BIBM, 2014)

SAX-EFG: an evolutionary feature generation framework for time series classification. - Uday Kamath; Jessica Lin 001; Kenneth A. De Jong (GECCO, 2014)

Boosted Mean Shift Clustering. - Ya-Zhou Ren 001; Uday Kamath; Carlotta Domeniconi; Guoji Zhang (ECML/PKDD (2), 2014)

Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. - Uday Kamath; Carlotta Domeniconi; Kenneth A. De Jong (CoRR, 2015)

Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming. - Daniel Veltri; Uday Kamath; Amarda Shehu (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Deep learning improves antimicrobial peptide recognition. - Daniel Veltri; Uday Kamath; Amarda Shehu (Bioinform., 2018)

Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. - Uday Kamath; Carlotta Domeniconi; Kenneth A. De Jong (Evol. Comput., 2018)

Deep Learning for NLP and Speech Recognition - Uday Kamath; John Liu; James Whitaker (Springer, 2019)

Parallel boosted clustering. - Yazhou Ren 001; Uday Kamath; Carlotta Domeniconi; Zenglin Xu (Neurocomputing, 2019)

EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. - Uday Kamath; Carlotta Domeniconi; Amarda Shehu; Kenneth A. De Jong (Innovations in Big Data Mining and Embedded Knowledge, 2019)

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, 2 - Uday Kamath; John Liu (Springer, 2021)

PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis. - Vedant Vajre; Mitchell Naylor; Uday Kamath; Amarda Shehu (BIBM, 2021)

Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff. - Mitchell Naylor; Christi French; Samantha Terker; Uday Kamath (CoRR, 2021)

Large Language Models: A Deep Dive - Bridging Theory and Practice - Uday Kamath; Kevin Keenan; Garrett Somers; Sarah Sorenson (Springer, 2024)