Advanced Analytics and Learning on Temporal Data 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers / [electronic resource] :
edited by Thomas Guyet, Georgiana Ifrim, Simon Malinowski, Anthony Bagnall, Patrick Shafer, Vincent Lemaire.
- 1st ed. 2023.
- XVI, 197 p. 86 illus., 58 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 13812 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 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 frameworksupporting 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.
9783031243783
10.1007/978-3-031-24378-3 doi
Artificial intelligence.
Artificial Intelligence.
Q334-342 TA347.A78
006.3
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 frameworksupporting 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.
9783031243783
10.1007/978-3-031-24378-3 doi
Artificial intelligence.
Artificial Intelligence.
Q334-342 TA347.A78
006.3