Uday Kamath

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 7

Top Topics

Evolutionary Algorithm

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Mitchell Naylor, Christi French, Samantha Terker, Uday Kamath
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff. CoRR (2021)
Vedant Vajre, Mitchell Naylor, Uday Kamath, Amarda Shehu
PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis. BIBM (2021)
Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu
Parallel boosted clustering. Neurocomputing 351 (2019)
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evol. Comput. 26 (1) (2018)
Daniel Veltri, Uday Kamath, Amarda Shehu
Deep learning improves antimicrobial peptide recognition. Bioinform. 34 (16) (2018)
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) (2017)
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. CoRR (2015)
Daniel Veltri, Uday Kamath, Amarda Shehu
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. BIBM (2014)
Uday Kamath, Jessica Lin, Kenneth A. De Jong
SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO (2014)
Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang
Boosted Mean Shift Clustering. ECML/PKDD (2) (2014)
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
An analysis of a spatial EA parallel boosting algorithm. GECCO (2013)
Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong
A new methodology for the GP theory toolbox. GECCO (2012)
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) (2012)
Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong
A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) (2012)
Uday Kamath, Kenneth A. De Jong, Amarda Shehu
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation (2011)
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) (2011)
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)
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS (2010)
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation (2010)
Uday Kamath
Self-Learning Expert Systems using Rule Classifier in Detection Engines. Artificial Intelligence and Pattern Recognition (2008)