Moritz Herrmann

According to our database, Moritz Herrmann authored at least 13 papers between 2014 and 2026.

Collaborative distances:

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

2026

How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research.

Valerie K. Bürger, Marlie Besouw, Jana Fehr, Riana Minocher, Emma Moorhead, Isabel Velarde, Louis Agha-Mir-Salim, Julia Amann, Alexandra Bannach-Brown, David B. Blumenthal, Kaitlyn Hair, Bert Heinrichs, Moritz Herrmann, Elizabeth Hofvenschiöld, Sune Holm, Anne A. H. de Hond, Sara Kijewski, Stuart McLennan, Timo Minssen, Marco S. Nobile, Nico Pfeifer, Jessica L. Rohmann, Tony Ross-Hellauer, Marija Slavkovik, Karin Tafur, Eleonora Viganò, Magnus Westerlund, Tracey L. Weissgerber, Vince I. Madai

CoRR, March, 2026

Overcoming Barriers to Computational Reproducibility.

Roman Hornung, László Németh, Oleksandr Zadorozhny, Theresa Ullmann, Michael Kammer, Rebecca Killick, Christopher J. Paciorek, Julien Chiquet, Moritz Herrmann, Lucija Batinovíc, Rickard Carlsson, Pierre Neuvial, Boris P. Hejblum, Julia Wrobel, Anne-Laure Boulesteix, Karsten Tabelow

CoRR, February, 2026

2025

Automated Assignment of UI Components to Subject-Specific Tasks: A Prototypical Approach for Adaptive User Interfaces.

Yasmina Tajja, Ludger Martin, Moritz Herrmann, Marian Lippold

Proceedings of the Mobile Web and Intelligent Information Systems, 2025

2024

Enhancing cluster analysis via topological manifold learning.

Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger

Data Min. Knowl. Discov., May, 2024

Position: Why We Must Rethink Empirical Research in Machine Learning.

Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A geometric framework for outlier detection in high-dimensional data.

Moritz Herrmann, Florian Pfisterer, Fabian Scheipl

WIREs Data. Mining. Knowl. Discov., 2023

DCSI - An improved measure of cluster separability based on separation and connectedness.

Jana Gauss, Fabian Scheipl, Moritz Herrmann

CoRR, 2023

2022

Towards more reliable machine learning: conceptual insights and practical approaches for unsupervised manifold learning and supervised benchmark studies.

Moritz Herrmann

PhD thesis, 2022

Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results.

Christina Nießl, Moritz Herrmann, Chiara Wiedemann, Giuseppe Casalicchio, Anne-Laure Boulesteix

WIREs Data Mining Knowl. Discov., 2022

2021

A geometric perspective on functional outlier detection.

Moritz Herrmann, Fabian Scheipl

CoRR, 2021

Large-scale benchmark study of survival prediction methods using multi-omics data.

Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix

Briefings Bioinform., 2021

2020

Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction.

Moritz Herrmann, Fabian Scheipl

CoRR, 2020

2014

Comparative analysis of metazoan chromatin organization Open.

Joshua Wing Kei Ho, Youngsook L. Jung, Tao Liu, Burak Han Alver, Soohyun Lee, Kohta Ikegami, Kyung-Ah Sohn, Aki Minoda, Michael Y. Tolstorukov, Alex Appert, Stephen C. J. Parker, Tingting Gu, Anshul Kundaje, Nicole C. Riddle, Eric Bishop, Thea A. Egelhofer, Sheng'en Shawn Hu, Artyom A. Alekseyenko, Andreas Rechtsteiner, Dalal Asker, Jason A. Belsky, Sarah K. Bowman, Q. Brent Chen, Ron A.-J. Chen, Daniel S. Day, Yan Dong, Andrea C. Dose, Xikun Duan, Charles B. Epstein, Sevinc Ercan, Elise A. Feingold, Francesco Ferrari, Jacob M. Garrigues, Nils Gehlenborg, Peter J. Good, Psalm Haseley, Daniel He, Moritz Herrmann, Michael M. Hoffman, Tess E. Jeffers, Peter V. Kharchenko, Paulina Kolasinska-Zwierz, Chitra V. Kotwaliwale, Nischay Kumar, Sasha A. Langley, Erica Larschan, Isabel Latorre, Maxwell W. Libbrecht, Xueqiu Lin, Richard Park, Michael J. Pazin, Hoang N. Pham, Annette Plachetka, Bo Qin, Yuri B. Schwartz, Noam Shoresh, Przemyslaw Stempor, Anne Vielle, Chengyang Wang, Christina M. Whittle, Huiling Xue, Robert E. Kingston, Ju Han Kim, Bradley E. Bernstein, Abby F. Dernburg, Vincenzo Pirrotta, Mitzi I. Kuroda, William S. Noble, Thomas D. Tullius, Manolis Kellis, David M. MacAlpine, Susan Strome, Sarah C. R. Elgin, Xiaole Shirley Liu, Jason D. Lieb, Julie Ahringer, Gary H. Karpen, Peter J. Park

Nat., 2014