Moritz Herrmann

According to our database, Moritz Herrmann authored at least 10 papers between 2014 and 2024.

Collaborative distances:

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

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