Follow
Marcel Ackermann
Marcel Ackermann
Freelancer ML Scientist
Verified email at stud.tu-darmstadt.de
Title
Cited by
Cited by
Year
Explanations can be manipulated and geometry is to blame
AK Dombrowski, M Alber, C Anders, M Ackermann, KR Müller, P Kessel
Advances in neural information processing systems 32, 2019
3102019
Interpreting and explaining deep neural networks for classification of audio signals
S Becker, M Ackermann, S Lapuschkin, KR Müller, W Samek
arXiv preprint arXiv:1807.03418, 2018
2022018
Interpreting and explaining deep neural networks for classification of audio signals. arXiv 2018
S Becker, M Ackermann, S Lapuschkin, KR Müller, W Samek
arXiv preprint arXiv:1807.03418, 1807
81807
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
M Yousef, M Ackermann, U Kurup, T Bishop
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
12023
Automated graph-based identification of early adopter users
G Zappella, M Ackermann, R Jenatton, DS Palfrey, ST Sandler
US Patent 10,049,375, 2018
12018
NFDI4DS Infrastructure and Services
S Schimmler, B Wentzel, A Bleier, S Dietze, S Karmakar, P Mutschke, ...
Gesellschaft für Informatik eV, 2023
2023
Research Knowledge Graphs in NFDI4DS
S Karmakar, M Zloch, F Limani, B Zapilko, S Upadhyaya, J D’Souza, ...
Gesellschaft für Informatik eV, 2023
2023
Automated graph-based identification of early adopter users
G Zappella, M Ackermann, R Jenatton, DS Palfrey, ST Sandler
US Patent App. 10/049,375, 2018
2018
Distant Supervised Relation Extraction.
M Ackermann
Informatiktage, 39-42, 2012
2012
Distant Supervised Relation Extraction with Wikipedia and Freebase
M Ackermann
Toward Successful Participation in Machine Learning Contests
M Ackermann, C Dann, T Plötz
The system can't perform the operation now. Try again later.
Articles 1–11