Publications
Showing entries 21 - 40 out of 348
Draganov A, Weber P, Skibdahl R, Beer A, Plant C, Assent I. I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies. 2025. doi: 10.48550/arXiv.2502.14018
Kraljevska M, Hlavackova-Schindler K, Miklautz L, Plant C. Motif Discovery Framework for Psychiatric EEG Data Classification. CoRR. 2025;abs/25.
Sadikaj Y, Zhou H, Halilaj L, Schmid S, Staab S, Plant C. MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning. CoRR. 2025;abs/25.
Köstenberger G, Klein I, Cuchiero C, Schmidt T. Quantitative Halmos-Savage theorems and robust large financial markets. 2025.
Beer A, Weber P, Miklautz L, Leiber C, Durani W, Böhm C et al. SHADE: Deep Density-based Clustering. In IEEE International Conference on Data Mining (ICDM) 2024. 2024
Bomze IM, Dür M. A Square Departure From Symmetry in Matrix Cones. Vietnam Journal of Mathematics. 2024 Nov 12. Epub 2024 Nov 12. doi: 10.1007/s10013-024-00722-x
Steinberger L. Efficiency in local differential privacy. Annals of Statistics. 2024 Oct;52(5): 2139-2166.
Bomze IM, Rinaldi F, Zeffiro D. Frank–Wolfe and friends: a journey into projection-free first-order optimization methods. Annals of Operations Research. 2024 Sept 16;343(2):607-638. Epub 2024 Sept 16. doi: 10.1007/s10479-024-06251-7
Cuchiero C, Flonner E, Kurt K. Robust financial calibration: a Bayesian approach for neural SDEs. 2024 Sept 12.
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).
Piecka M, Hutschenreuter S, Alves J. Towards a complete picture of the Sco-Cen outflow. Astronomy & Astrophysics. 2024 Sept 1;689:A84. doi: 10.1051/0004-6361/202450936
Kummer L, Moustafa S, Schrittwieser S, Gansterer W, Kriege NM. Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM). 2024. p. 1428-1439 doi: 10.1145/3637528.3671890
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: 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). doi: 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
Posch L, Alves J, Miret-Roig N, Ratzenböck S, Großschedl J, Meingast S. Chains of creation: feedback driven star formation in the Sco-Cen association. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.
Rottensteiner A, Ratzenböck S, Alves J. Charting the Star Formation History of the Orion Complex: A Multi-Dimensional Analysis Using Gaia Data and Machine Learning. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.
Rottensteiner A, Ratzenböck S, Alves J. Navigating the Stellar Landscape: Insights from SigMA Analysis of Orion's Young Star Clusters. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.