Publications
Showing entries 1 - 20 out of 244
Jahn P, Frey CMM, Beer A, Leiber C, Seidl T. Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024.. Vol. 14947. Springer Cham. 2024. p. 3-21. (Lecture Notes in Computer Science).
Gilhuber S, Beer A, Ma Y, Seidl T. FALCUN: A Simple and Efficient Deep Active Learning Strategy. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024).. Vol. 14943. Cham: Springer. 2024. p. 421-439. (Lecture Notes in Computer Science).
Bause F, Permann C, Kriege NM. Approximating the Graph Edit Distance with Compact Neighborhood Representations. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . Vol. 14945. Springer Cham. 2024. p. 300-318. (Lecture Notes in Computer Science, Vol. 14945). doi: https://doi-org.uaccess.univie.ac.at/10.1007/978-3-031-70362-1_18
Bause F, Moustafa S, Langguth J, Gansterer W, Kriege NM. On the Two Sides of Redundancy in Graph Neural Networks. In Bifet A, Davis J, Krilavičius T, Kull M, Ntoutsi E, Žliobaitė I, editors, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Vol. 14946. Springer Cham. 2024. p. 371-388. (Lecture Notes in Computer Science, Vol. 14946). Epub 2024 Aug 22. doi: https://doi.org/10.1007/978-3-031-70365-2_22
Eder M, Xu J, Grosse-Wentrup M. Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks. Journal of Neural Engineering. 2024 Aug 21;21(4):044002. doi: 10.1088/1741-2552/ad6793
Meunier A, Žák MR, Munz L, Garkot S, Eder M, Xu J et al. A Conversational Brain-Artificial Intelligence Interface. arXiv.org. 2024 Feb 22, p. 1. doi: https://doi.org/10.48550/arXiv.2402.15011
Beer A, Palotás O, Maldonado A, Draganov A, Assent I. DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. In 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024. IEEE. 2024. p. 1143-1156
Paar E, Schmude T, Cinar C. Spotlight Erklärbare KI: Eine Besprechung ausgewählter Use Cases aus rechtlicher und technologischer Perspektive. Juridikum. Zeitschrift für Kritik, Recht, Gesellschaft. 2024;244.
Scherbela M, Gerard L, Grohs P. Towards a transferable fermionic neural wavefunction for molecules. Nature Communications. 2024;15(1):120. doi: https://doi.org/10.1038/s41467-023-44216-9
Klein T, Weinberger S, Singla A, Tschiatschek S. Active Third-Person Imitation. arXiv.org. 2023 Dec 27.
Leeb H, Steinberger L. Statistical inference with F-statistics when fitting simple models to high-dimensional data. Econometric Theory. 2023 Dec 27;39(6):1249-1272. Epub 2021 Sep 27. doi: 10.1017/S026646662100044X
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
Miret Roig N, Alves J, Barrado D, Burkert A, Ratzenböck S, Konietzka R. Insights into star formation and dispersal from the synchronization of stellar clocks. Nature Astronomy. 2023 Nov 23.
Fröhlich GEA, Gansterer M, Dörner KF. Safe and secure vehicle routing: a survey on minimization of risk exposure. International Transactions in Operational Research. 2023 Nov;30(6):3087-3121. Epub 2022 Mar 1. doi: 10.1111/itor.13130
Feierl L, Möller T, Luidolt P. SunScreen: Visual Fault Detection for Solar-Thermal Systems. IEEE Computer Graphics & Application . 2023 Nov;43(6):87-100. doi: 10.1109/MCG.2023.3308962
Posch L, Miret-Roig N, Alves J, Ratzenböck S, Großschedl J, Meingast S et al. The Corona Australis star formation complex is accelerating away from the Galactic plane. Astronomy & Astrophysics. 2023 Nov;679:L10. doi: 10.1051/0004-6361/202347186
Grosse-Wentrup M, Kumar A, Meunier A, Zimmer M. Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition. bioRxiv. 2023 Oct 27, p. 1. doi: https://doi.org/10.1101/2023.10.27.564404
Bomze I, Gabl M. Optimization under uncertainty and risk: Quadratic and copositive approaches. European Journal of Operational Research. 2023 Oct 16;310(2):449-476. Epub 2022 Nov 30. doi: 10.1016/j.ejor.2022.11.020
Nguyen MH, Tschiatschek S, Singla A. Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation. arXiv.org. 2023 Oct 15.
Fröhlich GEA, Gansterer M, Dörner KF. A rolling horizon framework for the time-dependent multi-visit dynamic safe street snow plowing problem. Networks. 2023 Oct 6;83(2):236-255. Epub 2023 Oct 6. doi: 10.1002/net.22189