Publications
Showing entries 1 - 20 out of 273
Posch L, Alves J, Mirét-Roig N, Ratzenböck S, Großschedl J, Meingast S et al. The physical properties of Cluster Chains. Astronomy & Astrophysics. 2025 Jan 1;693:A175. doi: 10.1051/0004-6361/202451312
Schmude T, Koesten L, Möller T, Tschiatschek S. Information that matters: Exploring information needs of people affected by algorithmic decisions. International Journal of Human-Computer Studies. 2025 Jan;193:103380. Epub 2024 Sept 26. doi: 10.1016/j.ijhcs.2024.103380
Zischg J, Bomze I. Novel shortcut strategies in copositivity detection: Decomposition for quicker positive certificates. Operations Research Perspectives. 2025 Jun;14:100324. Epub 2025 Jan. doi: 10.1016/j.orp.2024.100324
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, 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).
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.
Szilágyi M, Alves J, Großschedl J, Meingast S, Miret-Roig N, Posch L et al.. Revisiting Lacerta using Gaia DR3. 2024.
Posch L, Alves J, Miret-Roig N, Ratzenböck S, Großschedl J, Meingast S. Stellar feedback is driving sequential star formation in the Sco-Cen association. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.
Grossschedl J, Alves J, Ratzenböck S. The evolution of velocity dispersion in OB associations - The case of Sco-Cen. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.
Swiggum C, Alves J, Benjamin RA, Ratzenböck S, Miret Roig N, Großschedl JE et al. Uncovering three past massive star-forming complexes that shaped local interstellar structures. Bulletin of the American Astronomical Society. 2024 Jul 1;56(7):#111.05. doi: 10.3847/25c2cfeb.e7358267
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).