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2020 – today
- 2024
[i2]Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel:
Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation. CoRR abs/2405.05336 (2024)- 2022
- [c5]Alvaro Gomariz
, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel:
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. MICCAI (8) 2022: 351-361 - [i1]Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel:
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. CoRR abs/2203.03664 (2022) - 2020
- [j4]Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto:
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [j3]Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto:
Deep learning algorithm predicts diabetic retinopathy progression in individual patients. npj Digit. Medicine 2 (2019) - 2014
- [c4]Madeleine Seeland, Andreas Maunz, Andreas Karwath, Stefan Kramer:
Extracting information from support vector machines for pattern-based classification. SAC 2014: 129-136 - 2013
- [b1]Andreas Maunz:
Graph Mining Methods for Predictive Toxicology. Technical University Munich, 2013, pp. 1-152 - [c3]Andreas Maunz, David Vorgrimmler, Christoph Helma:
Out-of-bag discriminative graph mining. SAC 2013: 109-114 - 2011
- [j2]Andreas Maunz, Christoph Helma, Stefan Kramer:
Efficient mining for structurally diverse subgraph patterns in large molecular databases. Mach. Learn. 83(2): 193-218 (2011) - 2010
- [j1]Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher:
Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010) - [c2]Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer:
Latent Structure Pattern Mining. ECML/PKDD (2) 2010: 353-368
2000 – 2009
- 2009
- [c1]Andreas Maunz, Christoph Helma, Stefan Kramer:
Large-scale graph mining using backbone refinement classes. KDD 2009: 617-626
Coauthor Index
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