Chetak Kandaswamy

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento — Portugal

Computer Science · Physical Sciences

9h-index292citations11works0.02yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(8), Advanced Neural Network Applications(3), Advanced Image and Video Retrieval Techniques(3), Generative Adversarial Networks and Image Synthesis(3), Neural Networks and Applications(2)

Publications11 total

Speedup of deep learning ensembles for semantic segmentation using a model compression technique
Computer Vision and Image Understanding·2017· 26 cited
Contributions on Deep Transfer Learning
Open Repository of the University of Porto (University of Porto)·2016Open Access
Multi-source deep transfer learning for cross-sensor biometrics
Neural Computing and Applications·2016· 28 citedOpen Access
High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning
SLAS DISCOVERY·2016· 70 citedOpen Access
Deep Transfer Learning Ensemble for Classification
Lecture notes in computer science·2015· 17 cited
Source-Target-Source Classification Using Stacked Denoising Autoencoders
Lecture notes in computer science·2015· 3 citedOpen Access
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders
2014· 9 cited
Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders
2014· 35 cited
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference
Lecture notes in computer science·2014· 51 cited
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance
Lecture notes in computer science·2014· 17 cited
Using Different Cost Functions to Train Stacked Auto-Encoders
2013· 36 cited

Frequent Co-authors

Luís M. Silva(9), Luı́s A. Alexandre(7), Jorge M. Santos(7), Telmo Amaral(3), Joaquim Marques de(3), Joaquim Marques de Sá(2), Jaime S. Cardoso(2), Ricardo Sousa(1), João C. Monteiro(1), Andrew Holliday(1), Mohammadamin Barekatain(1), Johannes Laurmaa(1), Helmut Prendinger(1)