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Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic., , and . ISPRS Int. J. Geo Inf., 4 (2): 591-606 (2015)Benchmarking and survey of explanation methods for black box models., , , , , and . Data Min. Knowl. Discov., 37 (5): 1719-1778 (September 2023)Exploring Real Mobility Data with M-Atlas., , , , , , , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 624-627. Springer, (2010)Unveiling mobility complexity through complex network analysis., , , , and . Soc. Netw. Anal. Min., 6 (1): 59:1-59:21 (2016)NDlib: a python library to model and analyze diffusion processes over complex networks., , , , , and . Int. J. Data Sci. Anal., 5 (1): 61-79 (2018)Predicting seasonal influenza using supermarket retail records., , , , , , , and . CoRR, (2020)Explaining Black Box with Visual Exploration of Latent Space., , , , , and . EuroVis (Short Papers), page 85-89. Eurographics Association, (2022)NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks., , and . WWW (Companion Volume), page 183-186. ACM, (2018)Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations., , , and . CHItaly, page 52:1-52:4. ACM, (2023)Amplified Contribution Analysis for Federated Learning., and . IDA (2), volume 14642 of Lecture Notes in Computer Science, page 68-79. Springer, (2024)