Titlebook: Discovery Science; 25th International C Poncelet Pascal,Dino Ienco Conference proceedings 2022 The Editor(s) (if applicable) and The Author

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In-Situ

Fachhochschule Ludwigshafen am Rheinve been proposed to generate compact similarity-preserving representations of time series, enabling real-time similarity search on large in-memory data collections. However, the existing techniques are not ideally suited for assessing similarity when sequences are locally out of phase. In this paper

Irksome

Hochschule Pforzheim UniversityDeveloping robust methods for rapid and accurate stress detection plays an important role in improving people’s life quality and wellness. Prior research shows that analyzing physiological signals collected from wearable sensors is a reliable predictor of stress. For stress detection, methods based

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0302-9743 October 10-12, 2022...The 27 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 59 submissions. ?.978-3-031-18839-8978-3-031-18840-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

objection

Conference proceedings 2022.This book constitutes the proceedings of the 25th International Conference on Discovery Science, DS 2022, which took place virtually during October 10-12, 2022...The 27 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 59 submissions. ?.

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978-3-031-18839-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-3-658-19063-7ression tasks. Using gradient boosting algorithms as proof of concept, we perform an experimental study with 36 data sets of different domains and sizes. Results show that models that used . as an objective function are practically better than the models produced by their respective standard boostin