Uday Kamath - RankMe

24 papers A 4B 2Journal 8Unranked 6

Year	Rank	Type	Title / 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