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Citation

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Number of items: 9.

Article

Rink, Johann ; Szabo, Kristina ; Hoyer, Carolin ; Saver, Jeffrey L. ; Nour, May ; Audebert, Heinrich J. ; Kunz, Wolfgang G. ; Froelich, Matthias F. ; Heinzl, Armin ORCID: 0000-0001-9886-9596 ; Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Hoffmann, Jens ; Schoenberg, Stefan O. ; Tollens, Fabian (2025) Mobile stroke units services in Germany: A cost-effectiveness modeling perspective on catchment zones, operating modes, and staffing. Open Access European Journal of Neurology Oxford [u.a.] 32 1, Article e16514 1-9 [Article]
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Marton, Sascha ORCID: 0000-0001-8151-9223 ; Lüdtke, Stefan ; Bartelt, Christian ; Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 (2024) Explaining neural networks without access to training data. Open Access Machine Learning Dordrecht [u.a.] 113 6 3633-3652 [Article]
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Rink, Johann ; Tollens, Fabian ; Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Bartelt, Christian ; Heinzl, Armin ; Hoffmann, Jens ; Schoenberg, Stefan O. ; Marzina, Annika ; Sandikci, Vesile ; Wiegand, Carla ; Hoyer, Carolin ; Szabo, Kristina (2024) Establishing an MSU service in a medium-sized German urban area — clinical and economic considerations. Open Access Frontiers in Neurology Lausanne 15 Article 1358145 1-9 [Article]
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Cohausz, Lea ; Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Bartelt, Christian ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 (2024) Investigating demographic features and their connection to performance, predictions, and fairness in EDM models. Journal of Educational Data Mining Montreal 16 2 177-213 [Article]

Conference or workshop publication

Nick, Erickson ; Purucker, Lennart ; Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Holzmüller, David ; Desai, Prateek Mutalik ; Salinas, David ; Hutter, Frank TabArena: A living benchmark for machine learning on tabular data. Belgrave, D. ; Zhang, C. ; Lin, H. ; Pascanu, R. ; Koniusz, P. ; Ghassemi, M. ; Chen, N. 38 1-66 In: Advances in Neural Information Processing Systems : NeurIPS 2025 (2025) Vancouver, BC NeurIPS 2025, 9th Conference on Neural Information Processing Systems (San Diego, CA) [Conference or workshop publication]

Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Nitschke, Paul ; Kirchdorfer, Lukas ; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 Enabling mixed effects neural networks for diverse, clustered data using Monte Carlo methods. tba tba In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence: Jeju, 03-09 August 2024 (2024) Jeju, South Korea IJCAI 2024, 33rd International Joint Conference on Artificial Intelligence (Jeju, South Korea) [Conference or workshop publication]

Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Marton, Sascha ORCID: 0000-0001-8151-9223 ; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 A data-centric perspective on evaluating machine learning models for tabular data. Globerson, Amir ; Mackey, L. ; Belgrave, D. ; Fan, A. ; Paquet, U. ; Tomczak, J. ; Zhang, C. 95896-95930 In: Advances in Neural Information Processing Systems 37 (NeurIPS 2024) (2024) Red Hook, NY NeurIPS 2024, The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Vancouver, Canada) [Conference or workshop publication]

Cohausz, Lea ; Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Bartelt, Christian ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 Investigating the importance of demographic features for EDM-predictions. Feng, Mingyu ; Käser, Tanja ; Talukdar, Partha 125-136 In: Proceedings of the 16th International Conference on Educational Data Mining (2023) Bengaluru, India 16th Educational Data Mining Conference (Bengaluru, India) [Conference or workshop publication]

Conference presentation

Tschalzev, Andrej ORCID: 0000-0002-0638-5744 ; Purucker, Lennart ; Lüdtke, Stefan ; Hutter, Frank ; Bartelt, Christian ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 Unreflected use of tabular data repositories can undermine research quality. (2025) The Future of Machine Learning Data Practices and Repositories at ICLR 2025 (Singapore, Republic of Singapore) [Conference presentation]

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