Andreas Maunz

According to our database, Andreas Maunz authored at least 11 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation.

Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel

CoRR, 2024

2022

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation.

Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients.

Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto

npj Digit. Medicine, 2020

2019

Deep learning algorithm predicts diabetic retinopathy progression in individual patients.

Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto

npj Digit. Medicine, 2019

2014

Extracting information from support vector machines for pattern-based classification.

Madeleine Seeland, Andreas Maunz, Andreas Karwath, Stefan Kramer

Proceedings of the Symposium on Applied Computing, 2014

2013

Graph Mining Methods for Predictive Toxicology.

Andreas Maunz

PhD thesis, 2013

Out-of-bag discriminative graph mining.

Andreas Maunz, David Vorgrimmler, Christoph Helma

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2011

Efficient mining for structurally diverse subgraph patterns in large molecular databases.

Andreas Maunz, Christoph Helma, Stefan Kramer

Mach. Learn., 2011

2010

Collaborative development of predictive toxicology applications.

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

J. Cheminformatics, 2010

Latent Structure Pattern Mining.

Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Large-scale graph mining using backbone refinement classes.

Andreas Maunz, Christoph Helma, Stefan Kramer

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009