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AALTD (Workshop) (2024 :)

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Advanced analytics and learning on temporal data = 9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced analytics and learning on temporal data/ edited by Vincent Lemaire ... [et al.].
其他題名:	9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /
其他題名:	AALTD 2024
其他作者:	Lemaire, Vincent.
團體作者:	AALTD (Workshop)
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 147 p. :ill., digital ;24 cm.
內容註:	Conformal Prediction Techniques for Electricity Price Forecasting -- Multivariate Human Activity Segmentation Systematic Benchmark with ClaSP -- Comparing the Performance of Recurrent Neural Network and Some Well Known Statistical Methods in the Case of Missing Multivariate Time Series Data -- Accurate and Efficient Real World Fall Detection Using Time Series Techniques -- Highly Scalable Time Series Classification for Very Large Datasets -- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble An Improved ROCKET Algorithm for Multivariate Time Series Analysis -- Change Detection in Multivariate data streams Online Analysis with Kernel QuantTree -- Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-77066-1
ISBN:	9783031770661

Advanced analytics and learning on temporal data = 9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /
Advanced analytics and learning on temporal data9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /[electronic resource] :AALTD 2024edited by Vincent Lemaire ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 147 p. :ill., digital ;24 cm. - Lecture notes in computer science,154330302-9743 ;. - Lecture notes in computer science ;15433..

Conformal Prediction Techniques for Electricity Price Forecasting -- Multivariate Human Activity Segmentation Systematic Benchmark with ClaSP -- Comparing the Performance of Recurrent Neural Network and Some Well Known Statistical Methods in the Case of Missing Multivariate Time Series Data -- Accurate and Efficient Real World Fall Detection Using Time Series Techniques -- Highly Scalable Time Series Classification for Very Large Datasets -- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble An Improved ROCKET Algorithm for Multivariate Time Series Analysis -- Change Detection in Multivariate data streams Online Analysis with Kernel QuantTree -- Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.

This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification.

ISBN: 9783031770661

Standard No.: 10.1007/978-3-031-77066-1doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Advanced analytics and learning on temporal data = 9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /
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