Publications


Showing entries 21 - 40 out of 341
Beer A, Krieger L, Weber P, Ritzert M, Assent I, Plant C. DISCO: Internal Evaluation of Density-Based Clustering. 2025. doi: 10.48550/arXiv.2503.00127

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

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

Cuchiero C, Primavera F, Papariello-Svaluto-Ferro S. Holomorphic jump-diffusions. 2024 Nov 6.

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

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).

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

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.

Showing entries 21 - 40 out of 341