Chetak Kandaswamy


AuthID: R-00G-W0J

Confirmed Publications: 4



1
TITLE: Multi-source deep transfer learning for cross-sensor biometrics  Full Text
AUTHORS: Kandaswamy, C ; Monteiro, JC ; Silva, LM ; Cardoso, JS ;
PUBLISHED: 2017, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 28, ISSUE: 9
INDEXED IN: Scopus WOS DBLP CrossRef: 7
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2
TITLE: Speedup of deep learning ensembles for semantic segmentation using a model compression technique  Full Text
AUTHORS: Andrew Holliday; Mohammadamin Barekatain; Johannes Laurmaa; Chetak Kandaswamy ; Helmut Prendinger;
PUBLISHED: 2017, SOURCE: COMPUTER VISION AND IMAGE UNDERSTANDING, VOLUME: 164
INDEXED IN: WOS CrossRef
IN MY: ORCID
3
TITLE: High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning
AUTHORS: Chetak Kandaswamy ; Luis M Silva ; Luis A Alexandre; Jorge M Santos;
PUBLISHED: 2016, SOURCE: JOURNAL OF BIOMOLECULAR SCREENING, VOLUME: 21, ISSUE: 3
INDEXED IN: Scopus WOS CrossRef: 17
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4
TITLE: Improving deep neural network performance by reusing features trained with transductive transference
AUTHORS: Kandaswamy, C ; Silva, LM ; Alexandre, LA; Santos, JM; De Sá, JM;
PUBLISHED: 2014, SOURCE: 24th International Conference on Artificial Neural Networks, ICANN 2014 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 8681 LNCS
INDEXED IN: Scopus CrossRef: 10
IN MY: ORCID

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