Advanced Analytics and Learning on Temporal Data : 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers / edited by Georgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire.

Format:

Book

Author/Creator:

Ifrim, Georgiana.

Contributor:

Tavenard, Romain.

Bagnall, Anthony.

Schaefer, Patrick.

Malinowski, Simon.

Guyet, Thomas.

Lemaire, Vincent.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 14343

Language:

English

Subjects (All):

Artificial intelligence.

Artificial Intelligence.

Local Subjects:

Artificial Intelligence.

Physical Description:

1 online resource (315 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

This volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis. .

Contents:

Human Activity Segmentation Challenge

Human Activity Segmentation Challenge@ECML/PKDD’23

Change points detection in multivariate signal applied to human activity segmentation

Change Point Detection via Synthetic Signals

Oral Presentation

Clustering time series with k-medoids based algorithms

Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting

RED CoMETS: an ensemble classifier for symbolically represented multivariate time series

Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving

Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression

ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging

Poster Presentation

Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks

Evaluating Explanation Methods for Multivariate Time Series Classification

tGLAD: A sparse graph recovery based approach for multivariate time series segmentation

Designing a New Search Space for Multivariate Time-Series Neural Architecture Search

Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms

Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Behaviours and Detect Health Issues

Exploiting Context and Attention with Recurrent Neural Network for Sensor Time Series Prediction

Rail Crack Propagation Forecasting Using Multi-horizons RNNs

Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies

Time-aware Predictions of Moments of Change in Longitudinal User Posts on Social Media.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031498961

OCLC:

1415896671