Publications


Showing entries 1 - 20 out of 251
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: 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: 10.1007/978-3-031-70365-2_22

Bauer-Fasching B, Bernhard K, Brändli E, Burger H, Eisele B, Hümmerich S et al. New ACV variables discovered in the Zwicky Transient Facility survey. Astronomy & Astrophysics. 2024 Jul;687(A211).

Swiggum C, Alves J, Benjamin R, Ratzenböck S, Miret-Roig N, Großschedl J et al. Most nearby young star clusters formed in three massive complexes. Nature. 2024 Jun 10;631(8019):49-53. doi: 10.1038/s41586-024-07496-9

Dolog P, Sadikaj Y, Velaj Y, Stephan A, Roth B, Plant C. The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. In Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM. 2024. p. 589-592

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: 10.48550/arXiv.2402.15011

Scherbela M, Gerard L, Grohs P. Towards a transferable fermionic neural wavefunction for molecules. Nature Communications. 2024 Jan 2;15(1):120. Epub 2024 Jan 2. doi: 10.1038/s41467-023-44216-9

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

Arafat NA, Mobaraki EB, Khan A, Velaj Y, Bonchi F. Estimate and Reduce Uncertainty in Uncertain Graphs. In 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024. IEEE. 2024. p. 1-12

Klein T, Weinberger S, Singla A, Tschiatschek S. Active Third-Person Imitation. arXiv.org. 2023 Dec 27.

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

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

Showing entries 1 - 20 out of 251