Details

Subject(s)

• Machine learning—Congresses [Browse]

Editor

• Guyet, Thomas [Browse]

Series

• Lecture notes in computer science ; Volume 13812. [More in this series]
• Lecture Notes in Computer Science Series ; Volume 13812

Summary note

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.

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

Contents

• 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.

Show 11 more Contents items

ISBN

3-031-24378-1

OCLC

1373987751

Doi

• 10.1007/978-3-031-24378-3

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