Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-04487-1.pdf
Reference89 articles.
1. Acampora G, Herrera F, Tortora G, Vitiello A (2018) A multi-objective evolutionary approach to training set selection for support vector machine. Knowl Based Syst 147:94–108
2. Acharya UR, Dua P (2014) Machine learning in healthcare informatics, vol 56. Springer, Berlin
3. Al-Stouhi S, Reddy CK (2011) Adaptive boosting for transfer learning using dynamic updates. In: Lecture notes on computer science (including subseries lecture notes artificial intelligence lecture notes bioinformatics), vol. 6911 LNAI, no. PART 1, pp 60–75
4. Amamuddy OS, Bishop NT, Bishop ÖT (2017) Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks. BMC Bioinform 18(1):1–7
5. Belharbi S et al (2017) Spotting L3 slice in CT scans using deep convolutional network and transfer learning. Comput Biol Med 87:95–103
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