Publications
Showing entries 1 - 20 out of 287
Pühringer M, Thür N, Schnurer M, Lamp LM, Panzenboeck L, Hartler J et al. Automated mass spectrometry-based profiling of multi-glycosylated glycosyl inositol phospho ceramides (GIPC) reveals specific series GIPC rearrangements during barley grain development and heat stress response. Plant Journal. 2025 Jun;122(6):e70279. doi: 10.1111/tpj.70279
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
Bomze I, Rinaldi F, Zeffiro D. Projection free methods on product domains. Computational Optimization and Applications. 2025 Jun;91(2):511-540. doi: 10.1007/s10589-024-00585-5
Kummer L, Gansterer W, Kriege NM. On the Relationship Between Robustness and Expressivity of Graph Neural Networks. In Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. Vol. 258. PMLR. 2025. p. 1243-1251. (Proceedings of Machine Learning Research (PMLR)).
Kummer L, Moustafa S, Gansterer W, Kriege NM. Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. AAAI. 2025. p. 17990-17998. (Proceedings of the ... National Conference on Artificial Intelligence; No. 17, Vol. 39). doi: 10.1609/aaai.v39i17.33979
Maconi E, Alves J, Swiggum C, Ratzenböck S, Großschedl J, Köhler P et al. The Solar System's passage through the Radcliffe wave during the middle Miocene. Astronomy & Astrophysics. 2025 Feb 1.
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
Mörth E, Sidak K, Maliga Z, Möller T, Gehlenborg N, Sorger P et al. Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data. IEEE Transactions on Visualization and Computer Graphics. 2025 Jan;31:569-579. doi: 10.1109/TVCG.2024.3456406
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
Leiber C, Miklautz L, Plant C, Böhm C. An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. CoRR. 2025;abs/25.
Kriege NM, Seidel T, Humbeck L, Lessel U. Chemical Similarity and Substructure Searches. In Encyclopedia of Bioinformatics and Computational Biology (Second Edition). 2 ed. Vol. 3. Elsevier. 2025 doi: 10.1016/B978-0-323-95502-7.00048-8
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
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.
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
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).