Arijit Ukil, Leandro Marín, Antonio Jara. ADV-ResNet: Residual Network with Controlled Adversarial Regularization for Effective Classification of Practical Time Series Under Training Data Scarcity Problem. In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. pages 1-8, IEEE, 2022. [doi]
@inproceedings{UkilMJ22,
title = {ADV-ResNet: Residual Network with Controlled Adversarial Regularization for Effective Classification of Practical Time Series Under Training Data Scarcity Problem},
author = {Arijit Ukil and Leandro Marín and Antonio Jara},
year = {2022},
doi = {10.1109/IJCNN55064.2022.9892370},
url = {https://doi.org/10.1109/IJCNN55064.2022.9892370},
researchr = {https://researchr.org/publication/UkilMJ22},
cites = {0},
citedby = {0},
pages = {1-8},
booktitle = {International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022},
publisher = {IEEE},
isbn = {978-1-7281-8671-9},
}