| 2025 | Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs. | Takuto Kitamura, Yu Suzuki |
| 2025 | Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-Wise Multiview Clustering and Large Language Models. | Shehroz S. Khan, Ali Abedi, Charlene H. Chu |
| 2025 | A Bayesian Reinforcement Learning Framework for Online Index Tuning. | Md Rakibul Hasan, Xiaoying Wu, Dimitri Theodoratos |
| 2025 | SpaPool: Soft Partition Assignment Pooling for Graph Neural Networks. | Rodrigue Govan, Romane Scherrer, Philippe Fournier-Viger, Nazha Selmaoui-Folcher |
| 2025 | FairFES - Fast Exact Sampling for Fair Classification. | Manh Khoi Duong, Nina A. Liebrand, Stefan Conrad |
| 2025 | PAID: Power-Efficient AI-Optimized Databases. | Ayoub Bouhatous, Ladjel Bellatreche, El Hassan Abdelwahed, Carlos Ordonez |
| 2025 | MicroSuggest: Kernel-Aware Microservice Decomposition. | Harsh Borse, Utkalika Satpathy, Mainack Mondal, Bivas Mitra |
| 2025 | FNoDe: Faulty Node Detection in Microservices Architecture. | Harsh Borse, Utkalika Satpathy, Mainack Mondal, Bivas Mitra |
| 2024 | Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs. | Ziwei Xu, Ryutaro Ichise |
| 2024 | LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection. | Xiaoying Wu, Senyang Wang, Xin Liu, Dimitri Theodoratos, Md Rakibul Hasan |
| 2024 | Anomaly Detection from Time Series Under Uncertainty. | Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz |
| 2024 | Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series. | Phillip Wenig, Thorsten Papenbrock |
| 2024 | Creating and Querying Data Cubes in Python Using PyCube. | Sigmundur Vang, Christian Thomsen, Torben Bach Pedersen |
| 2024 | Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept. | Mohammad Shirdel, Mario Di Mauro, Antonio Liotta |
| 2024 | "The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning. | Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2024 | QPAVE: A Multi-task Question Answering Approach for Fine-Grained Product Attribute Value Extraction. | Kassem Sabeh, Mouna Kacimi, Johann Gamper |
| 2024 | Discovering Relationships Among Properties in Wikidata Knowledge Graph. | Emetis Niazmand, Maria-Esther Vidal |
| 2024 | Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity. | Taichi Nakashima, Hanxiong Chen, Kazutaka Furuse |
| 2024 | Open-Source Drift Detection Tools in Action: Insights from Two Use Cases. | Rieke Mller, Mohamed Abdelaal, Davor Stjelja |
| 2024 | MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning. | John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono |
| 2024 | A Study on Database Intrusion Detection Based on Query Execution Plans. | Tadeusz Morzy, Maciej Zakrzewicz |
| 2024 | Differentially-Private Neural Network Training with Private Features and Public Labels. | Islam A. Monir, Gabriel Ghinita |
| 2024 | Subtree Similarity Search Based on Structure and Text. | Takuya Mizokami, Savong Bou, Toshiyuki Amagasa |
| 2024 | Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. | Michael Mayr, Georgios C. Chasparis, Josef Kng |
| 2024 | NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. | Sabrina Luftensteiner, Patrick Praher, Nicole Schwarz |