| 2023 | Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. | Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West |
| 2023 | Exploring Dialog Act Recognition in Open Domain Conversational Agents. | Maliha Sultana, Osmar R. Zaane |
| 2023 | Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables. | Kaoru Shimada, Shogo Matsuno, Shota Saito |
| 2023 | Contextual Shift Method (CSM). | Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Mller |
| 2023 | Using Ontologies as Context for Data Warehouse Quality Assessment. | Camila Sanz, Adriana Marotta |
| 2023 | Accounting for Imputation Uncertainty During Neural Network Training. | Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem |
| 2023 | A Fine-Grained Structural Partitioning Approach to Graph Compression. | Franois Pitois, Hamida Seba, Mohammed Haddad |
| 2023 | EXOS: Explaining Outliers in Data Streams. | Egawati Panjei, Le Gruenwald |
| 2023 | Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities. | Kazuya Nagasato, Satoshi Takabe, Kazuyuki Shudo |
| 2023 | Random Hypergraph Model Preserving Two-Mode Clustering Coefficient. | Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda, Kazuyuki Shudo |
| 2023 | FLOWER: Viewing Data Flow in ER Diagrams. | Elijah Mitchell, Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez |
| 2023 | State-Transition-Aware Anomaly Detection Under Concept Drifts. | Bin Li, Emmanuel Mller |
| 2023 | Attention-Based Counterfactual Explanation for Multivariate Time Series. | Peiyu Li, Omar Bahri, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | RODD: Robust Outlier Detection in Data Cubes. | Lara Kuhlmann, Daniel Wilmes, Emmanuel Mller, Markus Pauly, Daniel Horn |
| 2023 | Inter-item Time Intervals in Sequential Patterns. | Thomas Kastner, Hubert Cardot, Dominique H. Li |
| 2023 | Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. | Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang |
| 2023 | Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. | Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2023 | A Non-overlapping Community Detection Approach Based on α-Structural Similarity. | Motaz Ben Hassine, Sad Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet |
| 2023 | Preventing Technical Errors in Data Lake Analyses with Type Theory. | Alexis Guyot, ric Leclercq, Annabelle Gillet, Nadine Cullot |
| 2023 | Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? | Manh Khoi Duong, Stefan Conrad |
| 2023 | Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework. | Alfredo Cuzzocrea, Selim Soufargi |
| 2023 | Data-driven and On-Demand Conceptual Modeling. | Damianos Chatziantoniou, Verena Kantere |
| 2023 | Bitwise Vertical Mining of Minimal Rare Patterns. | Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G. M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong |
| 2023 | DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. | Adnan Bashir, Trilce Estrada |
| 2023 | Motif Alignment for Time Series Data Augmentation. | Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |