Deep learning improves antimicrobial peptide recognition D Veltri, U Kamath, A Shehu Bioinformatics 34 (16), 2740-2747, 2018 | 378 | 2018 |
Deep learning for NLP and speech recognition U Kamath, J Liu, J Whitaker Springer, 2019 | 336 | 2019 |
Explainable artificial intelligence: an introduction to interpretable machine learning U Kamath, J Liu Springer, 2021 | 108 | 2021 |
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 | 66 | 2015 |
Effective automated feature construction and selection for classification of biological sequences U Kamath, K De Jong, A Shehu PloS one 9 (7), e99982, 2014 | 63 | 2014 |
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 | 61 | 2020 |
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 | 44 | 2012 |
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 | 43 | 2019 |
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 | 34 | 2021 |
Boosted mean shift clustering Y Ren, U Kamath, C Domeniconi, G Zhang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 28 | 2014 |
Bidirectional encoder representations from transformers (BERT) U Kamath, KL Graham, W Emara Transformers for Machine Learning, 43-70, 2022 | 17 | 2022 |
Transformers for machine learning: a deep dive U Kamath, K Graham, W Emara Chapman and Hall/CRC, 2022 | 16 | 2022 |
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 | 16 | 2014 |
Using evolutionary computation to improve SVM classification U Kamath, A Shehu, K De Jong IEEE Congress on Evolutionary Computation, 1-8, 2010 | 16 | 2010 |
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 | 15 | 2019 |
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 | 11 | 2021 |
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 | 11 | 2010 |
Parallel boosted clustering Y Ren, U Kamath, C Domeniconi, Z Xu Neurocomputing 351, 87-100, 2019 | 10 | 2019 |
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 | 9 | 2012 |
Introduction to interpretability and explainability U Kamath, J Liu Explainable artificial intelligence: An introduction to interpretable …, 2021 | 8 | 2021 |