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Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation., , , , , и . ACM Trans. Spatial Algorithms Syst., 9 (1): 2:1-2:24 (марта 2023)Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective., , , , , , и . ACM Trans. Knowl. Discov. Data, 18 (4): 76:1-76:22 (мая 2024)Learning Adaptive Embedding Considering Incremental Class., , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (3): 2736-2749 (марта 2023)Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection., , , , , и . ICDM, стр. 32-41. IEEE, (2020)Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting., , , , , , и . KDD, стр. 2296-2306. ACM, (2022)Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams., , , , , и . KDD, стр. 335-344. ACM, (2017)Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets., , , и . AI4I, стр. 73. IEEE, (2022)Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning., , , , , и . SIGSPATIAL/GIS, стр. 450-453. ACM, (2021)Reimagining City Configuration: Automated Urban Planning via Adversarial Learning., , , , и . SIGSPATIAL/GIS, стр. 497-506. ACM, (2020)Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks., , , и . SIGSPATIAL/GIS, стр. 319-328. ACM, (2019)