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| 2023 | A Long-term Time Series Forecasting method with Multiple Decomposition. Yang Wang, Xu Chen, Yang Shu Wang, Jun Yong Jing |
| 2023 | Accelerating Machine Learning Queries with Linear Algebra Query Processing. Wenbo Sun, Asterios Katsifodimos, Rihan Hai |
| 2023 | Data Driven Dimensionality Reduction to Improve Modeling Performance✱. Joshua Chung, Marcos López de Prado, Horst D. Simon, Kesheng Wu |
| 2023 | Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. Jianliang Gao, Changlong He, Jiamin Chen, Qiutong Li, Yili Wang |
| 2023 | ESM2-Tree: An maintenance efficient authentication data structure in blockchain. Yuzhou Fang, Liang Cai, Weiwei Qiu, Fanglei Huang, Huaihai Hui |
| 2023 | Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario. Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere |
| 2023 | Evaluating Autoencoders for Dimensionality Reduction of MRI-derived Radiomics and Classification of Malignant Brain Tumors. Mikayla Biggs, Yaohua Wang, Neetu Soni, Sarv Priya, Girish Bathla, Guadalupe Canahuate |
| 2023 | Fast Algorithm for Embedded Order Dependency Validation. Daichi Amagata, Alejandro Ramos, Ryo Shirai, Takahiro Hara |
| 2023 | Federated Learning on Personal Data Management Systems: Decentralized and Reliable Secure Aggregation Protocols. Julien Mirval, Luc Bouganim, Iulian Sandu Popa |
| 2023 | Four Factors Affecting Missing Data Imputation. Andreas Hackl, Jürgen Zeindl, Lisa Ehrlinger |
| 2023 | Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan |
| 2023 | Indexing Temporal Relations for Range-Duration Queries. Matteo Ceccarello, Anton Dignös, Johann Gamper, Christina Khnaisser |
| 2023 | InfoMoD: Information-theoretic Model Diagnostics. Armin Esmaeilzadeh, Lukasz Golab, Kazem Taghva |
| 2023 | Interactive Data Mashups for User-Centric Data Analysis. Michael Behringer, Pascal Hirmer |
| 2023 | LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization. Ivan Carvalho, Ramon Lawrence |
| 2023 | Less is More: How Fewer Results Improve Progressive Join Query Processing. Xin Zhang, Ahmed Eldawy |
| 2023 | MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao |
| 2023 | Multi-representations Space Separation based Graph-level Anomaly-aware Detection. Fu Lin, Haonan Gong, Mingkang Li, Zitong Wang, Yue Zhang, Xuexiong Luo |
| 2023 | Privacy-Preserving OLAP via Modeling and Analysis of Query Workloads: Innovative Theories and Theorems. Alfredo Cuzzocrea |
| 2023 | Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis. Lixi Zhou, Lei Yu, Jia Zou, Hong Min |
| 2023 | Proceedings of the 35th International Conference on Scientific and Statistical Database Management, SSDBM 2023, Los Angeles, CA, USA, July 10-12, 2023 Robert Schuler, Carl Kesselman, Kyle Chard, Alejandro Bugacov |
| 2023 | ST-CopulaGNN : A Multi-View Spatio-Temporal Graph Neural Network for Traffic Forecasting. Pitikorn Khlaisamniang, Suronapee Phoomvuthisarn |
| 2023 | SciDG: Benchmarking Scientific Dynamic Graph Queries. Chenglin Zeng, Chuan Hu, Huajin Wang, Zhihong Shen |
| 2023 | Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao |
| 2023 | TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. Quan Wan, Shuo Yin, Xiangyue Liu, Jianliang Gao, Yuhui Zhong |
| 2023 | Towards Efficient Discovery of Spatially Interesting Patterns in Geo-referenced Sequential Databases. Shota Suzuki, Rage Uday Kiran |