Publications

Showing entries 21 - 40 out of 235
Oettershagen L, Kriege NM, Mutzel P. A Higher-Order Temporal H-Index for Evolving Networks. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM). 2023. p. 1770-1782 . (ACM Conferences, Vol. 2023). doi: 10.1145/3580305.3599242

Nyhan B, Settle J, Thorson E, Wojcieszak M, Barberá P, Chen AY et al. Like-minded sources on Facebook are prevalent but not polarizing. Nature. 2023 Aug 3;620(7972):137-144. doi: 10.1038/s41586-023-06297-w

Kumar A, Gilra A, Grosse-Wentrup M. Learning cognitive state representations from neuronal and behavioural data. In Conference on Cognitive Computational Neuroscience 2023. 2023 doi: 10.32470/CCN.2023.1089-0, 10.32470/CCN.2023.1089-0

Kinast A, Braune R, Dörner KF, Rinderle-Ma S. Optimizing the Solution Quality of Metaheuristics Through Process Mining Based on Selected Problems from Operations Research. In Di Francescomarino C, Burattin A, Janiesch C, Sadiq S, editors, Business Process Management Forum - BPM 2023 Forum, Proceedings. Cham: Springer. 2023. p. 232-248. (Lecture Notes in Business Information Processing, Vol. 490). doi: 10.1007/978-3-031-41623-1_14

Guess AM, Malhotra N, Pan J, Barberá P, Allcott H, Brown T et al. How do social media feed algorithms affect attitudes and behavior in an election campaign? Science. 2023 Jul 28;381(6656):398-404. doi: 10.1126/science.abp9364

Guess AM, Malhotra N, Pan J, Barberá P, Allcott H, Brown T et al. Reshares on social media amplify political news but do not detectably affect beliefs or opinions. Science. 2023 Jul 28;381(6656):404-408. doi: 10.1126/science.add8424

Jordan B, Koesten L, Möller T. Chatting About Data - Interacting with Voice Interfaces to Engage with Election Panel Data. In CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces. New York: Association for Computing Machinery (ACM). 2023. 34 doi: https://doi.org/10.1145/3571884.3597126

Sedlmayer M, Nguyen D-K, Bot RI. A fast optimistic method for monotone variational inequalities. In Proceedings of the 40th International Conference on Machine Learning: PMLR. Vol. 202. PMLR. 2023. p. 30406 - 30438

König G, Freiesleben T, Grosse-Wentrup M. Improvement-focused causal recourse (ICR). 2023. Paper presented at The 37th AAAI Conference on Artificial Intelligence, Washington, District of Columbia, United States.

Schmude T, Koesten L, Möller T, Tschiatschek S. On the Impact of Explanations on Understanding of Algorithmic Decision-Making. 2023. Paper presented at ACM FAccT Conference 2023, Chicago, United States. Epub 2023 Feb 16. doi: https://doi.org/10.1145/3593013.3594054

Raggam P, Zrenner C, McDermott EJ, Ziemann U, Grosse-Wentrup M. Predicting high-quality movements in post-stroke motor rehabilitation from EEG. 2023. 10th International BCI Meeting, Brussels, Belgium.

Poletti S, Testolin A, Tschiatschek S. Learning Constraints From Human Stop-Feedback in Reinforcement Learning. In he proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2023). 2023

Lindner D, Chen X, Tschiatschek S, Hofmann K, Krause A. Learning Safety Constraints from Demonstrations with Unknown Rewards. arXiv.org. 2023 May 25. doi: https://doi.org/10.48550/arXiv.2305.16147

Meingast S, Alves J, Bouy H, Petr-Gotzens MG, Fürnkranz V, Großschedl JE et al. VISIONS: The VISTA Star Formation Atlas. I. Survey overview. Astronomy & Astrophysics. 2023 May;673:A58. doi: 10.1051/0004-6361/202245771

Morris C, Lipman Y, Maron H, Rieck B, Kriege NM, Grohe M et al. Weisfeiler and Leman go Machine Learning: The Story so far. Journal of Machine Learning Research. 2023 May;24(333):1-59.

Oettershagen L, Kriege NM, Jordan C, Mutzel P. A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks. In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). 2023. p. 19-27 doi: https://doi.org/10.1137/1.9781611977653.c

Showing entries 21 - 40 out of 235