Publikationen

In: 26th International Conference on Pattern Recognition 2022. International Conference on Pattern Recognition (ICPR-2022), August 21-25, Montreal, Quebec, Canada, IEEE, 2022.

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In: Applied Sciences (MDPI), Vol. 10, Pages 6460-6460, MDPI, 2020.

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In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2020), July 19-24, Glasgow, United Kingdom, ISBN 978-1-7281-6926-2, IEEE Xplore, 9/2020.

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In: IEEE Access, Vol. 10, Pages 1-10, IEEE, 2020.

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In: ICANN. International Conference on Artificial Neural Networks (ICANN-2019), September 17-19, Munich, Germany, Pages 426-439, Vol. 11731, ISBN 978-3-030-30493-5, Springer, Cham, 9/2019.

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In: Sensors - Open Access Journal (Sensors), Vol. 19, No. 11, Pages 1-15, MDPI, 5/2019.

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In: AAAI-MAKE. AAAI Spring Symposium (AAAI SSS-2019), March 25-27, Stanford, CA, USA, AAAI, 3/2019.

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In: IEEE Access, Vol. 6, Pages 74151-74161, IEEE, 2018.

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Aktive Filter:

Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification

Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

Interpreting Deep Models through the Lens of Data

Confident Classification using a Hybrid between Deterministic and Probabilistic Convolutional Neural Networks

TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

KINN: Incorporating Expert Knowledge in Neural Networks

DeCNT: Deep Deformable CNN for Table Detection

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