From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Max Lübbering' in GoogleThis author has not been identified. Look up 'Rajkumar Ramamurthy' in GoogleThis author has not been identified. Look up 'Michael Gebauer' in GoogleThis author has not been identified. Look up 'Thiago Bell' in GoogleThis author has not been identified. Look up 'Rafet Sifa' in GoogleThis author has not been identified. Look up 'Christian Bauckhage' in Google

runs on WebDSL