Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage. From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. In Igor Farkas, Paolo Masulli, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I. Volume 12396 of Lecture Notes in Computer Science, pages 27-38, Springer, 2020. [doi]
@inproceedings{LubberingRGBSB20,
title = {From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders},
author = {Max Lübbering and Rajkumar Ramamurthy and Michael Gebauer and Thiago Bell and Rafet Sifa and Christian Bauckhage},
year = {2020},
doi = {10.1007/978-3-030-61609-0_3},
url = {https://doi.org/10.1007/978-3-030-61609-0_3},
researchr = {https://researchr.org/publication/LubberingRGBSB20},
cites = {0},
citedby = {0},
pages = {27-38},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I},
editor = {Igor Farkas and Paolo Masulli and Stefan Wermter},
volume = {12396},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-61609-0},
}