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AALTD (Workshop) (2022 :)

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Advanced analytics and learning on temporal data = 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced analytics and learning on temporal data/ edited by Thomas Guyet ... [et al.].
Reminder of title:	7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022 : revised selected papers /
remainder title:	AALTD 2022
other author:	Guyet, Thomas.
corporate name:	AALTD (Workshop)
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xvi, 197 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Oral Presentation -- Adjustable Context-aware Transformer -- Clustering of time series based on forecasting performance of global models -- Experimental study of time series forecasting methods for groundwater level prediction -- Fast Time Series Classification with Random Symbolic Subsequences -- RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection -- Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark -- Poster Presentation -- Application of Attention mechanism combined with Long Short-Term Memory for forecasting Dissolved Oxygen in Ganga River -- Data Augmentation for Time Series Classification with Deep Learning -- Dimension selection strategies for multivariate time series classification with HIVE-COTEv2.0 -- EDGAR: Embedded Detection of Gunshots by AI in Real-time -- Identification of the Best Accelerometer Features and Time-scale to Detect Disturbances in Calves -- ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-24378-3
ISBN:	9783031243783

Advanced analytics and learning on temporal data = 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022 : revised selected papers /
Advanced analytics and learning on temporal data7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022 : revised selected papers /[electronic resource] :AALTD 2022edited by Thomas Guyet ... [et al.]. - Cham :Springer International Publishing :2023. - xvi, 197 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,138121611-3349 ;. - Lecture notes in computer science ;13812..

Oral Presentation -- Adjustable Context-aware Transformer -- Clustering of time series based on forecasting performance of global models -- Experimental study of time series forecasting methods for groundwater level prediction -- Fast Time Series Classification with Random Symbolic Subsequences -- RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection -- Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark -- Poster Presentation -- Application of Attention mechanism combined with Long Short-Term Memory for forecasting Dissolved Oxygen in Ganga River -- Data Augmentation for Time Series Classification with Deep Learning -- Dimension selection strategies for multivariate time series classification with HIVE-COTEv2.0 -- EDGAR: Embedded Detection of Gunshots by AI in Real-time -- Identification of the Best Accelerometer Features and Time-scale to Detect Disturbances in Calves -- ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications.

This book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19-23, 2022. The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.

ISBN: 9783031243783

Standard No.: 10.1007/978-3-031-24378-3doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Advanced analytics and learning on temporal data = 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022 : revised selected papers /
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