Publications
Showing entries 21 - 40 out of 281
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. doi: 10.1051/0004-6361/202347476
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
Bakumenko A, Hlavackova-Schindler K, Plant C, Hubig N. Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. arXiv. 2024 Jun 1.
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
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. 2024 Feb;8(2):216-222. Epub 2023 Nov 23. doi: 10.1038/s41550-023-02132-4
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
Leodolter M, Plant C, Brändle N. Rotation invariant GPS trajectory mining. Geoinformatica. 2024 Jan;28:89-115. doi: 10.1007/s10707-023-00495-4
Chen Z, Wu Z, Sadikaj Y, Plant C, Dai HN, Wang S et al. ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. arXiv. 2024.
Qian L, Qian J, Sun X, Guo W, Böhm C. ADOD: Adaptive Density Outlier Detection. In IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE. 2024. p. 400-409
Miklautz L, Klein T, Sidak K, Leiber C, Lang T, Shkabrii A et al. Breaking the Reclustering Barrier in Centroid-based Deep Clustering. arXiv. 2024. doi: 10.48550/arXiv.2411.02275
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
Qian L, Plant C, Qin Y, Qian J, Böhm C. DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. In IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE. 2024. p. 827-832
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