Publications

Showing entries 81 - 100 out of 446
Chen Z, Wu Z, Sadikaj Y, Plant C, Dai HN, Wang S et al. ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. IEEE Transactions on Knowledge & Data Engineering. 2025;37(9):4948-4961. doi: 10.1109/TKDE.2025.3586369
Bakumenko A, Hlavácková-Schindler K, Plant C, Hubig NC. Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models. IEEE Access. 2025;13:146757-146771. doi: 10.1109/ACCESS.2025.3600967
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.
Guo W, Ye W, Chen C, Sun X, Böhm C, Plant C et al. Bootstrap Deep Spectral Clustering with Optimal Transport. IEEE Transactions on Multimedia. 2025.
Kritzinger S, Pfaff K, Weitzel D, Assenbaum L, Brandl D, Conte L et al.. Digitize! Online Panel Survey (SUF edition): Version V8 2025. doi: 10.11587/8SFV2L
Tiessler M, Motger Q, Piroi F, Baumann A. EmoTracker - A New Framework for Modeling and Forecasting Diachronic Emotion Dynamics. In Arnold T, Fantoli M, Ros R, editors, Anthology of Computers and the Humanities. Vol. 3. 2025. p. 795-819 doi: 10.63744/tdBQckiQA3FI
Xia Y, Sedova A, Luz de Araujo PH, Kougia V, Nußbaumer L, Roth B. Exploring prompts to elicit memorization in masked language model-based named entity recognition. PLoS ONE. 2025. doi: 10.1371/journal.pone.0330877
Kritzinger S, van der Brug W. Generations and political change. Taylor & Francis. 2025. doi: 10.1080/01402382.2025.2449794
Miklautz L, Shi C, Shkabrii A, Davarakis TT, Lam P, Plant C et al. H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition. 2025. doi: 10.48550/ARXIV.2510.20627
Hlavackova-Schindler K, Marsela S. Identifying Causal Direction via Dense Functional Classes. CoRR. 2025;25. doi: 10.48550/arXiv.2509.00538
Schoenegger L, Thoma L, Blevins T, Roth B. Influence-driven Curriculum Learning for Pre-training on Limited Data. 2025. Paper presented at The First BabyLM Workshop at the Conference
on Empirical Methods in Natural Language Processing 2025, Suzhou, China. doi: 10.18653/v1/2025.babylm-main.26
Beer A, Krieger L, Weber P, Ritzert M, Assent I, Plant C. Internal Evaluation of Density-Based Clusterings with Noise. 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
Cuchiero C, Gazzani G, Möller JO, Papariello-Svaluto-Ferro S. Joint calibration to SPX and VIX options with signature-based models. Mathematical Finance. 2025;35(1):161-213. Epub 2024 Jul 31. doi: 10.1111/mafi.12442
Xia Y, Zaporojets K, Roth B. Learn to pick the winner: Black-box ensembling for textual and visual question answering. In Konferenz zur Verarbeitung natürlicher Sprache 2025. 2025
Silhavy P, Hlavácková-Schindler K, Silhavy R. Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling. IEEE Access. 2025;13:19388-19407. doi: 10.1109/ACCESS.2025.3532815
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.
Pecorino V, Pluchino A, Rapisarda A, Hlavackova-Schindler K. Multiscale Granger dependencies in the precipitation network of the island of Sicily. Frontiers in Physics. 2025;13:1536084. doi: 10.3389/fphy.2025.1536084
Luz de Araujo PH, Röttger P, Hovy D, Roth B. Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025 doi: 10.18653/v1/2025.emnlp-main.1364
Showing entries 81 - 100 out of 446