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Titlebook: Advanced Analytics and Learning on Temporal Data; 5th ECML PKDD Worksh Vincent Lemaire,Simon Malinowski,Georgiana Ifrim Conference proceedi

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Working with Controls and Themes regression (QR-MLP) model is best able to capture these multivariate relations. In addition to simulated outliers, the QR-MLP model is able to detect real outliers as well. Moreover, specific rules for each outlier category are not needed. In sum, QR-MLP models are well-suited to detect outliers without supervision.
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Lightweight Temporal Self-attention for Classifying Satellite Images Time Series978-3-322-95009-3
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A Feature Selection Method for Multi-dimension Time-Series Data
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GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecastingthe structural and cultural barriers they face. The narrative concludes with the subversive potential of caring communities within organisations as a possible future to work towards..This book will be of interest to students and scholars in Gender Studies, Utopia/Dystopia Studies, and Organization Studies..978-3-031-15482-9
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Real-Time Outlier Detection in Time Series Data of Water Sensorsevertheless, the relationship between the two states, especially in the post-colonial period, has been maintained over the years and, as South Africa moves into the democratic era, will play an important role in the future development of the Indian Ocean island.
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