Uday Kamath

24 papers A 4B 2Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — book
Large Language Models: A Deep Dive - Bridging Theory and Practice
Uday Kamath, Kevin Keenan, Garrett Somers, Sarah Sorenson
2021 — book
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, 2
Uday Kamath, John Liu
2021 — conf
PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis.
BIBM
Vedant Vajre, Mitchell Naylor, Uday Kamath, Amarda Shehu
2021 J jnl
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff.
CoRR
Mitchell Naylor, Christi French, Samantha Terker, Uday Kamath
2019 — book
Deep Learning for NLP and Speech Recognition
Uday Kamath, John Liu, James Whitaker
2019 — ch.
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.
Innovations in Big Data Mining and Embedded Knowledge
Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong
2019 J jnl
Parallel boosted clustering.
Neurocomputing
Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu
2018 J jnl
Deep learning improves antimicrobial peptide recognition.
Bioinform.
Daniel Veltri, Uday Kamath, Amarda Shehu
2018 J jnl
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.
Evol. Comput.
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2017 J jnl
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.
IEEE ACM Trans. Comput. Biol. Bioinform.
Daniel Veltri, Uday Kamath, Amarda Shehu
2015 J jnl
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm.
CoRR
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2014 — conf
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features.
BIBM
Daniel Veltri, Uday Kamath, Amarda Shehu
2014 — conf
Boosted Mean Shift Clustering.
ECML/PKDD (2)
Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang
2014 A conf
SAX-EFG: an evolutionary feature generation framework for time series classification.
GECCO
Uday Kamath, Jessica Lin, Kenneth A. De Jong
2013 A conf
An analysis of a spatial EA parallel boosting algorithm.
GECCO
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2012 — conf
A Spatial EA Framework for Parallelizing Machine Learning Methods.
PPSN (1)
Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong
2012 A conf
A new methodology for the GP theory toolbox.
GECCO
Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong
2012 J jnl
An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Uday Kamath, Jack Compton, Rezarta Islamaj Dogan, Kenneth A. De Jong, Amarda Shehu
2011 J jnl
A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences.
J. Bioinform. Comput. Biol.
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2011 B conf
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition.
IEEE Congress on Evolutionary Computation
Uday Kamath, Kenneth A. De Jong, Amarda Shehu
2010 — conf
Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences.
BIONETICS
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2010 A conf
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm.
GECCO
Uday Kamath, Kenneth A. De Jong, Amarda Shehu
2010 B conf
Using evolutionary computation to improve SVM classification.
IEEE Congress on Evolutionary Computation
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2008 — conf
Self-Learning Expert Systems using Rule Classifier in Detection Engines.
Artificial Intelligence and Pattern Recognition
Uday Kamath