Chetak Kandaswamy

Publication Activity (10 Years)

Years Active: 2013-2017
Publications (10 Years): 2

Top Topics

Manifold Alignment

Transfer Learning

Search Space Reduction

Top Venues

Neural Comput. Appl.

Publications

Chetak Kandaswamy, João C. Monteiro, Luís M. Silva, Jaime S. Cardoso
Multi-source deep transfer learning for cross-sensor biometrics. Neural Comput. Appl. 28 (9) (2017)
Andrew Holliday, Mohammadamin Barekatain, Johannes Laurmaa, Chetak Kandaswamy, Helmut Prendinger
Speedup of deep learning ensembles for semantic segmentation using a model compression technique. Comput. Vis. Image Underst. 164 (2017)
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos
Deep Transfer Learning Ensemble for Classification. IWANN (1) (2015)
Chetak Kandaswamy, Luís M. Silva, Jaime S. Cardoso
Source-Target-Source Classification Using Stacked Denoising Autoencoders. IbPRIA (2015)
Telmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. ICMLA (2014)
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de Sá
Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. SMC (2014)
Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. ICANN (2014)
Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance. ICIAR (1) (2014)
Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Jorge M. Santos, Joaquim Marques de Sá
Using Different Cost Functions to Train Stacked Auto-Encoders. MICAI (Special Sessions) (2013)