Publications
Showing entries 41 - 60 out of 237
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
Bauer LGM, Leiber C, Böhm C, Plant C. Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. In Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. SIAM. 2023. p. 109-117
Sun X, Song Z, Yu Y, Dong J, 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.
Bomze I, Peng B. Conic formulation of QPCCs applied to truly sparse QPs. Computational Optimization and Applications: an international journal. 2023 Apr;84(3):703-735. Epub 2022 Dec 13. doi: 10.1007/s10589-022-00440-5
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
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
Ratzenböck S, Großschedl JE, Alves J, Miret-Roig N, Bomze I, Forbes J et al. The star formation history of the Sco-Cen association. Coherent star formation patterns in space and time. Astronomy & Astrophysics. 2023 Feb 1.
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
Lerma Pineda AF, Petersen PC. Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems. Analysis and Applications. 2023 Jan 1;21(1):49-91. doi: https://doi.org/10.1142/S0219530522400097
Bot RI, Sedlmayer M, Phan TV. A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. Journal of Machine Learning Research. 2023 Jan;24:1-37.
Grohs P, Liehr L. Injectivity of Gabor phase retrieval from lattice measurements. Applied and Computational Harmonic Analysis. 2023 Jan;62:173-193. doi: https://arxiv.org/abs/2008.07238, 10.1016/j.acha.2022.09.001
Chen Z, Wu Z, Lin Z, Wang S, Plant C, Guo W. AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. arXiv. 2023. doi: https://doi.org/10.48550/arXiv.2304.07014
Bot RI, Csetnek ER, Sedlmayer M. An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. Computational Optimization and Applications. 2023;86(3):925 - 966. Epub 2022. doi: 10.1007/s10589-022-00378-8
Heinisch B. Collaboration with citizens and its revolutionary potential in the digital humanities. 2023. Digital Humanities 2023, Graz, Austria. doi: 10.5281/zenodo.8210808
Steinberger L, Leeb H. Conditional predictive inference for stable algorithms. Annals of Statistics. 2023;51(1):290 - 311.
Showing entries 41 - 60 out of 237