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Books and Theses
- 2024
[b3]Uday Kamath, Kevin Keenan, Garrett Somers, Sarah Sorenson:
Large Language Models: A Deep Dive - Bridging Theory and Practice. Springer 2024, ISBN 978-3-031-65646-0, pp. 1-472- 2021
- [b2]Uday Kamath, John Liu:
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, 2. Springer 2021, ISBN 978-3-030-83355-8, pp. 1-310 - 2019
- [b1]Uday Kamath, John Liu, James Whitaker:
Deep Learning for NLP and Speech Recognition. Springer 2019, ISBN 978-3-030-14595-8, pp. 1-621
Journal Articles
- 2019
- [j6]Yazhou Ren
, Uday Kamath, Carlotta Domeniconi, Zenglin Xu:
Parallel boosted clustering. Neurocomputing 351: 87-100 (2019) - 2018
- [j5]Daniel Veltri, Uday Kamath, Amarda Shehu:
Deep learning improves antimicrobial peptide recognition. Bioinform. 34(16): 2740-2747 (2018) - [j4]Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evol. Comput. 26(1) (2018) - 2017
- [j3]Daniel Veltri, Uday Kamath, Amarda Shehu:
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 300-313 (2017) - 2012
- [j2]Uday Kamath, Jack Compton, Rezarta Islamaj Dogan, Kenneth A. De Jong, Amarda Shehu:
An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1387-1398 (2012) - 2011
- [j1]Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. J. Bioinform. Comput. Biol. 9(3): 399-413 (2011)
Conference and Workshop Papers
- 2021
- [c12]Vedant Vajre, Mitchell Naylor, Uday Kamath, Amarda Shehu:
PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis. BIBM 2021: 1077-1082 - 2014
- [c11]Daniel Veltri, Uday Kamath, Amarda Shehu:
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. BIBM 2014: 371-378 - [c10]Uday Kamath, Jessica Lin, Kenneth A. De Jong:
SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO 2014: 533-540 - [c9]Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang:
Boosted Mean Shift Clustering. ECML/PKDD (2) 2014: 646-661 - 2013
- [c8]Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
An analysis of a spatial EA parallel boosting algorithm. GECCO 2013: 1053-1060 - 2012
- [c7]Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong:
A new methodology for the GP theory toolbox. GECCO 2012: 719-726 - [c6]Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong:
A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) 2012: 206-215 - 2011
- [c5]Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation 2011: 277-284 - 2010
- [c4]Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS 2010: 213-228 - [c3]Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c2]Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. GECCO 2010: 179-186 - 2008
- [c1]Uday Kamath:
Self-Learning Expert Systems using Rule Classifier in Detection Engines. Artificial Intelligence and Pattern Recognition 2008: 224-227
Parts in Books or Collections
- 2019
- [p1]Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong:
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. Innovations in Big Data Mining and Embedded Knowledge 2019: 35-59
Informal and Other Publications
- 2021
- [i2]Mitchell Naylor, Christi French, Samantha Terker, Uday Kamath:
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff. CoRR abs/2107.05693 (2021) - 2015
- [i1]Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. CoRR abs/1508.01549 (2015)
Coauthor Index
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