Uday kamath
TitleCited byYear
An evolutionary algorithm approach for feature generation from sequence data and its application to DNA splice site prediction
U Kamath, J Compton, R Islamaj-Doğan, KA De Jong, A Shehu
IEEE/ACM transactions on computational biology and bioinformatics 9 (5 …, 2012
382012
Effective automated feature construction and selection for classification of biological sequences
U Kamath, K De Jong, A Shehu
PloS one 9 (7), e99982, 2014
282014
Deep learning improves antimicrobial peptide recognition
D Veltri, U Kamath, A Shehu
Bioinformatics 34 (16), 2740-2747, 2018
232018
Improving recognition of antimicrobial peptides and target selectivity through machine learning and genetic programming
D Veltri, U Kamath, A Shehu
IEEE/ACM transactions on computational biology and bioinformatics 14 (2 …, 2015
172015
Using evolutionary computation to improve svm classification
U Kamath, A Shehu, K De Jong
IEEE Congress on Evolutionary Computation, 1-8, 2010
152010
SAX-EFG: an evolutionary feature generation framework for time series classification
U Kamath, J Lin, K De Jong
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
122014
Boosted mean shift clustering
Y Ren, U Kamath, C Domeniconi, G Zhang
Joint European conference on machine learning and knowledge discovery in …, 2014
112014
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm
U Kamath, KA De Jong, A Shehu
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
102010
A spatial EA framework for parallelizing machine learning methods
U Kamath, J Kaers, A Shehu, KA De Jong
International Conference on Parallel Problem Solving from Nature, 206-215, 2012
82012
A two-stage evolutionary approach for effective classification of hypersensitive dna sequences
U Kamath, A Shehu, KA De Jong
Journal of bioinformatics and computational biology 9 (03), 399-413, 2011
82011
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition
U Kamath, KA De Jong, A Shehu
2011 IEEE Congress of Evolutionary Computation (CEC), 277-284, 2011
72011
Feature and kernel evolution for recognition of hypersensitive sites in DNA sequences
U Kamath, A Shehu, KA De Jong
International Conference on Bio-Inspired Models of Network, Information, and …, 2010
72010
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features
D Veltri, U Kamath, A Shehu
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014
52014
An analysis of a spatial ea parallel boosting algorithm
U Kamath, C Domeniconi, KA De Jong
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
52013
A new methodology for the GP theory toolbox
J Bassett, U Kamath, K De Jong
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
42012
EML: a scalable, transparent meta-learning paradigm for big data applications
U Kamath, C Domeniconi, A Shehu, K De Jong
Innovations in Big Data Mining and Embedded Knowledge, 35-59, 2019
12019
DEEP LEARNING FOR NLP AND SPEECH RECOGNITION.
ULIU KAMATH, J WHITAKER
SPRINGER NATURE, 2019
12019
Attention and Memory Augmented Networks
U Kamath, J Liu, J Whitaker
Deep Learning for NLP and Speech Recognition, 407-462, 2019
12019
Theoretical and empirical analysis of a spatial ea parallel boosting algorithm
U Kamath, C Domeniconi, K De Jong
Evolutionary computation 26 (1), 43-66, 2018
12018
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm
U Kamath, C Domeniconi, K De Jong
arXiv preprint arXiv:1508.01549, 2015
12015
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Articles 1–20