Moritz Herrmann

17 papers A* 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research. CoRR 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
2026	J	`jnl`	Overcoming Barriers to Computational Reproducibility. CoRR 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
2025	—	`conf`	Automated Assignment of UI Components to Subject-Specific Tasks: A Prototypical Approach for Adaptive User Interfaces. MobiWIS Yasmina Tajja, Ludger Martin, Moritz Herrmann, Marian Lippold
2024	J	`jnl`	Enhancing cluster analysis via topological manifold learning. Data Min. Knowl. Discov. Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
2024	A*	`conf`	Position: Why We Must Rethink Empirical Research in Machine Learning. ICML Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
2024	J	`jnl`	Position: Why We Must Rethink Empirical Research in Machine Learning. CoRR Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
2023	J	`jnl`	A geometric framework for outlier detection in high-dimensional data. WIREs Data. Mining. Knowl. Discov. Moritz Herrmann, Florian Pfisterer, Fabian Scheipl
2023	J	`jnl`	DCSI - An improved measure of cluster separability based on separation and connectedness. CoRR Jana Gauss, Fabian Scheipl, Moritz Herrmann
2022	J	`jnl`	A geometric framework for outlier detection in high-dimensional data. CoRR Moritz Herrmann, Florian Pfisterer, Fabian Scheipl
2022	J	`jnl`	Enhancing cluster analysis via topological manifold learning. CoRR Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
2022	J	`jnl`	Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results. WIREs Data Mining Knowl. Discov. Christina Nießl, Moritz Herrmann, Chiara Wiedemann, Giuseppe Casalicchio, Anne-Laure Boulesteix
2022	—	`—`	Towards more reliable machine learning: conceptual insights and practical approaches for unsupervised manifold learning and supervised benchmark studies. Moritz Herrmann
2021	J	`jnl`	A geometric perspective on functional outlier detection. CoRR Moritz Herrmann, Fabian Scheipl
2021	J	`jnl`	Large-scale benchmark study of survival prediction methods using multi-omics data. Briefings Bioinform. Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
2020	J	`jnl`	Large-scale benchmark study of survival prediction methods using multi-omics data. CoRR Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
2020	J	`jnl`	Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction. CoRR Moritz Herrmann, Fabian Scheipl
2014	J	`jnl`	Comparative analysis of metazoan chromatin organization Open. Nat. 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