Uday Kamath

According to our database1, Uday Kamath authored at least 24 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Large Language Models: A Deep Dive - Bridging Theory and Practice
Springer, ISBN: 978-3-031-65646-0, 2024

2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff.
CoRR, 2021

PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, 2
Springer, ISBN: 978-3-030-83355-8, 2021

2019
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.
Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Parallel boosted clustering.
Neurocomputing, 2019

Deep Learning for NLP and Speech Recognition
Springer, ISBN: 978-3-030-14595-8, 2019

2018
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.
Evol. Comput., 2018

Deep learning improves antimicrobial peptide recognition.
Bioinform., 2018

2017
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2015
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm.
CoRR, 2015

2014
Boosted Mean Shift Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

SAX-EFG: an evolutionary feature generation framework for time series classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A novel method to improve recognition of antimicrobial peptides through distal sequence-based features.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
An analysis of a spatial EA parallel boosting algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A Spatial EA Framework for Parallelizing Machine Learning Methods.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A new methodology for the GP theory toolbox.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences.
J. Bioinform. Comput. Biol., 2011

An evolutionary-based approach for feature generation: Eukaryotic promoter recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Using evolutionary computation to improve SVM classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences.
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010

2008
Self-Learning Expert Systems using Rule Classifier in Detection Engines.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2008


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