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Advanced Analytics and Learning on Temporal Data

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Cover of 'Advanced Analytics and Learning on Temporal Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Human Activity Segmentation Challenge @ ECML/PKDD’23
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    Chapter 2 Change Points Detection in Multivariate Signal Applied to Human Activity Segmentation
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    Chapter 3 Change Point Detection via Synthetic Signals
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    Chapter 4 Clustering Time Series with  k -Medoids Based Algorithms
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    Chapter 5 Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting
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    Chapter 6 RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time Series
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    Chapter 7 Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving
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    Chapter 8 Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression
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    Chapter 9 ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging
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    Chapter 10 Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks
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    Chapter 11 Evaluating Explanation Methods for Multivariate Time Series Classification
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    Chapter 12 tGLAD : A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation
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    Chapter 13 Designing a New Search Space for Multivariate Time-Series Neural Architecture Search
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    Chapter 14 Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
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    Chapter 16 Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction
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    Chapter 17 Rail Crack Propagation Forecasting Using Multi-horizons RNNs
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    Chapter 18 Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies
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    Chapter 19 Time-Aware Predictions of Moments of Change in Longitudinal User Posts on Social Media
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Chapter title
Human Activity Segmentation Challenge @ ECML/PKDD’23
Chapter number 1
Book title
Advanced Analytics and Learning on Temporal Data
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-49896-1_1
Book ISBNs
978-3-03-149895-4, 978-3-03-149896-1
Authors

Ermshaus, Arik, Schäfer, Patrick, Bagnall, Anthony, Guyet, Thomas, Ifrim, Georgiana, Lemaire, Vincent, Leser, Ulf, Leverger, Colin, Malinowski, Simon

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