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2020 – today
- 2024
[i4]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson
, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024)- 2022
- [i3]Michael Banf, Gregor Steinhagen:
Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection. CoRR abs/2201.06599 (2022) - [i2]Mahmoud Kheir-Eddine, Michael Banf, Gregor Steinhagen:
Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits. CoRR abs/2202.03068 (2022) - 2021
- [j3]Michael Banf, Thomas Hartwig:
The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond. Comput. 9(12): 146 (2021)
2010 – 2019
- 2019
- [j2]Michael Banf, Kangmei Zhao, Seung Y. Rhee:
METACLUSTER - an R package for context-specific expression analysis of metabolic gene clusters. Bioinform. 35(17): 3178-3180 (2019) - [i1]Michael Banf:
Learning Theory and Support Vector Machines - a primer. CoRR abs/1902.04622 (2019) - 2013
- [b2]Michael Banf:
Making the Visual World Audible - Auditory Image Understanding for the Visually Impaired Based on a Modular Computer Vision Sonification Model. Shaker 2013, ISBN 978-3-8440-2399-2, pp. 1-286 - [b1]Michael Banf:
Auditory image understanding for the visually impaired based on a modular computer vision sonification model. University of Siegen, 2013, pp. i-xiii, 1-287 - [c2]Michael Banf, Volker Blanz:
Sonification of images for the visually impaired using a multi-level approach. AH 2013: 162-169 - [c1]Michael Banf, Volker Blanz:
Man made structure detection and verification of object recognition in images for the visually impaired. MIRAGE 2013: 18:1-18:8
2000 – 2009
- 2009
- [j1]Michael Banf, Volker Blanz:
Example-Based Rendering of Eye Movements. Comput. Graph. Forum 28(2): 659-666 (2009)
Coauthor Index
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