Publications

Showing entries 1 - 20 out of 195
Lüer F, Weber T, Dolgich M, Böhm C. Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. In IEEE International Conference on Data Mining (2023). 2023
Ratzenböck S, Obermüller V, Möller T, Alves J, Bomze I. Uncover: Toward Interpretable Models for Detecting New Star Cluster Members. IEEE Transactions on Visualization and Computer Graphics. 2023 Sep 1;29(9):3855-3872. Epub 2022 May 5. doi: 10.1109/TVCG.2022.3172560
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
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
Szabadi A, Doknic A, Netsch J, Pálvögyi ÁM, Steinhauser O, Schröder C. Force field refinement for reproducing experimental infrared spectra of ionic liquids. Physical Chemistry Chemical Physics. 2023 Jul 11;25(29):19882-19890. doi: 10.1039/d3cp00932g
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
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
Luther C, König G, Grosse-Wentrup M. Efficient SAGE Estimation via Causal Structure Learning. Proceedings of Machine Learning Research (PMLR). 2023 Apr 25;206:11650-11670.
Chen Z, Wu Z, Zhong L, Plant C, Wang S, Guo W. Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs. arXiv. 2023 Apr 18. doi: https://doi.org/10.48550/arXiv.2304.06336
Song Z, Sun X, Yu Y, Plant C, Böhm C. Network Embedding via Deep Prediction Model. IEEE Transactions on Big Data. 2023 Apr 1;9(2):455-470. Epub 2022 Jul 28. doi: https://doi.org/10.1109/TBDATA.2022.3194643
Ambros R, Bernsteiner A, Bloem R, Dolezal D, Garzia D, Göltl K et al. Two-Year Progress of Pilot Research Activities in Teaching Digital Thinking Project (TDT). Zeitschrift für Hochschulentwicklung. 2023 Apr 1;18:117-136. doi: 10.3217/zfhe-SH-HL/07
Foerster K-T, Marette T, Neumann S, Plant C, Sadikaj Y, Schmid S et al. Analyzing the Communication Clusters in Datacenters. In Ding Y, Tang J, Sequeda JF, Aroyo L, Castillo C, Houben G-J, editors, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. New York: ACM. 2023. p. 3022-3032 doi: 10.1145/3543507.3583410
Schmude T, Koesten L, Möller T, Tschiatschek S. Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making. 2023. Paper presented at ACM CHI Conference on Human Factors in Computing Systems 2023, Hamburg, Germany.
Sadikaj Y, Rass J, Velaj Y, Plant C. Semi-Supervised Embedding of Attributed Multiplex Networks. In Ding Y, Tang J, Sequeda JF, Aroyo L, Castillo C, Houben G-J, editors, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. New York: ACM. 2023. p. 578-587 doi: 10.1145/3543507.3583485
Sadegh S, Skelton J, Anastasi E, Wipat A, Möller A, Blumenthal DB et al. Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond. Nature Communications. 2023 Mar 25;14(1):1662. doi: https://doi.org/10.1038/s41467-023-37349-4
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.
McDermott EJ, Metsomaa J, Paolo B, Grosse-Wentrup M, Ziemann U, Zrenner C. Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation. Virtual Reality. 2023 Mar;27(1):347-369. doi: 10.1007/s10055-021-00538-x
Grohs P, Klotz A, Voigtlaender F. Phase Transitions in Rate Distortion Theory and Deep Learning. Foundations of Computational Mathematics. 2023 Feb;23(1):329-392. Epub 2021 Nov 16. doi: https://doi.org/10.1007/s10208-021-09546-4
Wolfinger D, Gansterer M, Dörner KF, Popper N. A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem. European Journal of Operational Research. 2023 Jan 1;304(1):169-182. Epub 2021 Oct 21. doi: 10.1016/j.ejor.2021.10.028
Showing entries 1 - 20 out of 195