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Uday kamath
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Year
Deep learning improves antimicrobial peptide recognition
D Veltri, U Kamath, A Shehu
Bioinformatics 34 (16), 2740-2747, 2018
3662018
Deep learning for NLP and speech recognition
U Kamath, J Liu, J Whitaker
Springer, 2019
3252019
Explainable artificial intelligence: an introduction to interpretable machine learning
U Kamath, J Liu
Springer, 2021
992021
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
642015
Effective automated feature construction and selection for classification of biological sequences
U Kamath, K De Jong, A Shehu
PloS one 9 (7), e99982, 2014
622014
Systems and methods for rapidly building, managing, and sharing machine learning models
C Hughes, T Estes, J Liu, C Brandon, U Kamath
US Patent App. 16/613,301, 2020
582020
Convolutional neural networks
U Kamath, J Liu, J Whitaker, U Kamath, J Liu, J Whitaker
Deep learning for NLP and speech recognition, 263-314, 2019
502019
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
442012
PsychBERT: a mental health language model for social media mental health behavioral analysis
V Vajre, M Naylor, U Kamath, A Shehu
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
282021
Boosted mean shift clustering
Y Ren, U Kamath, C Domeniconi, G Zhang
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
282014
Transfer learning: Domain adaptation
U Kamath, J Liu, J Whitaker, U Kamath, J Liu, J Whitaker
Deep learning for NLP and speech recognition, 495-535, 2019
162019
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
162014
Using evolutionary computation to improve SVM classification
U Kamath, A Shehu, K De Jong
IEEE Congress on Evolutionary Computation, 1-8, 2010
162010
Transformers for machine learning: a deep dive
U Kamath, K Graham, W Emara
Chapman and Hall/CRC, 2022
142022
Bidirectional encoder representations from transformers (BERT)
U Kamath, KL Graham, W Emara
Transformers for Machine Learning, 43-70, 2022
142022
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
112010
Quantifying explainability in nlp and analyzing algorithms for performance-explainability tradeoff
M Naylor, C French, S Terker, U Kamath
arXiv preprint arXiv:2107.05693, 2021
102021
Parallel boosted clustering
Y Ren, U Kamath, C Domeniconi, Z Xu
Neurocomputing 351, 87-100, 2019
92019
Feature and kernel evolution for recognition of hypersensitive sites in DNA sequences
U Kamath, A Shehu, KA De Jong
Bio-Inspired Models of Network, Information, and Computing Systems: 5th …, 2012
92012
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
82013
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