| 2025 | Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks. | Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying |
| 2025 | Leveraging Causal Discovery to Tackle Complexity in Model-Based Anomaly Detection: Case-Study from Blast Furnace Operation. | Matej Vukovic, Belgin Mutlu, Thomas Kristan, Petra Krahwinkler, Christian Tauber, Stefan Thalmann |
| 2025 | Auto-CEn: AutoML for Classifier Ensembles - Diversity-Based Classifier Selection and Decision Fusion Optimization. | Julius Voggesberger, Peter Reimann, Dennis Treder-Tschechlov, Bernhard Mitschang |
| 2025 | Diffusion for Explainable Unsupervised Anomaly Detection. | Elouan Vincent, Alexandre Dran, Julien Perez, Marc Plantevit, Cline Robardet |
| 2025 | EPDD: Electrocardiogram-Based Pulmonary Disease Detector Using Machine Learning. | Hari Sree Lalitha Vardhini Vanaparthi, Natasha Interlichia, Xudong Liu, Mona Nasseri, Scott A. Helgeson |
| 2025 | First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery. | Priya Tomar, Maximilian Bro, Philipp Feodorovici, Jan Arensmeyer, Philipp Leifels, Aditya Parikh, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa |
| 2025 | Unveiling Fairness and Performance of Causal Discovery. | Snia Teixeira, Ana Rita Nogueira, Joo Gama |
| 2025 | Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning. | Sadia Tabassum, Leandro L. Minku |
| 2025 | From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers. | Jan Marius Strmer, Marius Graumann, Tobias Koch |
| 2025 | Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama. cpp. | Lorenz Sparrenberg, Tobias Deuer, Armin Berger, Rafet Sifa |
| 2025 | Towards LLM-Guided Healthcare Dataset Harmonization. | Christos Smailis, Carlos Ordonez, Ioannis A. Kakadiaris |
| 2025 | Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes. | Emilia Siviero, Guillaume Staerman, Stphan Clmenon, Thomas Moreau |
| 2025 | REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation. | Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva |
| 2025 | ModelForge: A Metric Approach to Machine Learning Model Consolidation. | Florian Siepe, Thomas Peter Prinz, Thorsten Papenbrock |
| 2025 | RST-NDAS:RST Nuclei for Discourse-Aware Abstractive Summarization. | Mohammadreza Sediqin, Shlomo Engelson Argamon |
| 2025 | A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores. | Leonid Schwenke, Martin Atzmueller |
| 2025 | Evaluating Interpretability Using Logical Relations: Do Saliency Maps Encode Relevant Information? | Leonid Schwenke, Martin Atzmueller |
| 2025 | Abstention is all you need. | Erik Schnwlder, Christian Falkenberg, Claudio Hartmann, Wolfgang Lehner |
| 2025 | Predicting Player Churn with LLMs: A Comprehensive Evaluation of World Knowledge and Reasoning. | Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa |
| 2025 | Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering. | Georg Stefan Schlake, Max Pernklau, Christian Beecks |
| 2025 | Comparative Analysis of Neural Network Architectures for Telemetry-Driven Malware Behavior Classification. | Michael Schladt, John Gallagher |
| 2025 | Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction. | Karla Schfer, Martin Steinebach |
| 2025 | Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning. | Mabrouka Salmi, Dalia Atif, Sebastin Ventura |
| 2025 | Automatic Feature Engineering for Time Series Extrinsic Regression: A Comparative Study of Signal Processing Libraries. | Aurlien Renault, Dominique Gay, Noureddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu |
| 2025 | Improving the End to End Purchasing Process in Indirect Procurement. | Rama Reddy, Ravi Ilkal, Snehal Soni |