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Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability.

, , , , , , and . ECML/PKDD (3), volume 11053 of Lecture Notes in Computer Science, page 553-568. Springer, (2018)

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Deep Multi-sphere Support Vector Data Description., and . SDM, page 109-117. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..Change Point Detection for Streaming High-Dimensional Time Series., , , , and . DASFAA (3), volume 11448 of Lecture Notes in Computer Science, page 515-519. Springer, (2019)Multi-attention graph neural networks for city-wide bus travel time estimation using limited data., , , and . Expert Syst. Appl., (2022)Online K-Means Clustering with Lightweight Coresets., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 191-202. Springer, (2019)Personalized Itinerary Recommendation with Queuing Time Awareness., , , and . SIGIR, page 325-334. ACM, (2017)Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing., , , , and . PAKDD (1), volume 8443 of Lecture Notes in Computer Science, page 581-593. Springer, (2014)Improving load forecasting based on deep learning and K-shape clustering., , , , and . IJCNN, page 4134-4141. IEEE, (2017)Extension of iVAT to asymmetric matrices., , , and . FUZZ-IEEE, IEEE, (2013)Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2017)Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach., , and . IJCNN, page 1-8. IEEE, (2019)