| 2024 | XCrowd: A Realistic Crowd Simulation Tool for Efficient Movement Management. | Jan Appel, Andreas Weiler |
| 2024 | Statistical Modeling vs. Machine Learning for Deduplication of Customer Records. | Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Justyna Kowalewska, Agnieszka Marszalek, Robert Wrembel |
| 2024 | A new PET for Data Collection via Forms with Data Minimization, Full Accuracy and Informed Consent. | Nicolas Anciaux, Sabine Frittella, Baptiste Joffroy, Benjamin Nguyen, Guillaume Scerri |
| 2024 | Online Integration of Spatial Reasoning in Complex Event Recognition. | Elias Alevizos, Georgios M. Santipantakis, Christos Doulkeridis, Alexander Artikis |
| 2024 | Diversity in Spatio-textual Data Objects. | Andreas Alamanos, Akrivi Vlachou |
| 2024 | A Framework to Evaluate Early Time-Series Classification Algorithms. | Charilaos Akasiadis, Evgenios Kladis, Petro-Foti Kamberi, Evangelos Michelioudakis, Elias Alevizos, Alexander Artikis |
| 2024 | Querying Large Language Models with SQL. | Mohammed Saeed, Nicola De Cao, Paolo Papotti |
| 2024 | TASHEEH: Repairing Row-Structure in Raw CSV Files. | Mazhar Hameed, Gerardo Vitagliano, Fabian Panse, Felix Naumann |
| 2024 | SAGED: Few-Shot Meta Learning for Tabular Data Error Detection. | Mohamed Abdelaal, Tim Ktitarev, Daniel Stdtler, Harald Schning |
| 2023 | On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge. | Jingwei Zuo, George Arvanitakis, Hakim Hacid |
| 2023 | SHARE: A Framework for Personalized and Healthy Recipe Recommendations. | Konstantinos Zioutos, Haridimos Kondylakis, Kostas Stefanidis |
| 2023 | Desis: Efficient Window Aggregation in Decentralized Networks. | Wang Yue, Lawrence Benson, Tilmann Rabl |
| 2023 | FLIRT: A Fast Learned Index for Rolling Time frames. | Guang Yang, Liang Liang, Ali Hadian, Thomas Heinis |
| 2023 | Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs. | Xiaoying Wu, Dimitri Theodoratos, Nikos Mamoulis, Michael Lan |
| 2023 | Learned Selection Strategy for Lightweight Integer Compression Algorithms. | Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner |
| 2023 | Stitcher: Learned Workload Synthesis from Historical Performance Footprints. | Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan |
| 2023 | Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN. | Yifan Wang, Daisy Zhe Wang |
| 2023 | Joint Source and Schema Evolution: Insights from a Study of 195 FOSS Projects. | Panos Vassiliadis, Fation Shehaj, George Kalampokis, Apostolos V. Zarras |
| 2023 | Translating data science queries from natural language into graph analytics queries using NLDS-QL. | Genoveva Vargas-Solar, Karim Dao, Javier A. Espinosa-Oviedo |
| 2023 | Detecting Robustness against MVRC for Transaction Programs with Predicate Reads. | Brecht Vandevoort, Bas Ketsman, Christoph Koch, Frank Neven |
| 2023 | TempoGRAPHer: A Tool for Aggregating and Exploring Evolving Graphs. | Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura |
| 2023 | GraphTempo: An aggregation framework for evolving graphs. | Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura |
| 2023 | A Medical Question Answering System with NLP and graph database. | Ioannis Tsampos, Emmanouil I. Marakakis |
| 2023 | Density-Based Geometry Compression for LiDAR Point Clouds. | Xibo Sun, Qiong Luo |
| 2023 | Data migration in column family database evolution using MDE. | Pablo Surez-Otero, Michael J. Mior, Mara Jos Surez-Cabal, Javier Tuya |