Advanced Analytics and Learning on Temporal Data 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers /

This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Lemaire, Vincent (Editör), Ifrim, Georgiana (Editör), Bagnall, Anthony (Editör), Guyet, Thomas (Editör), Malinowski, Simon (Editör), Schäfer, Patrick (Editör), Tavenard, Romain (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edisyon:1st ed. 2025.
Seri Bilgileri:Lecture Notes in Artificial Intelligence, 15433
Konular:
Online Erişim:https://doi.org/10.1007/978-3-031-77066-1
Etiketler: Etiketle
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İçindekiler:
  • Conformal Prediction Techniques for Electricity Price Forecasting
  • Multivariate Human Activity Segmentation Systematic Benchmark with ClaSP
  • Comparing the Performance of Recurrent Neural Network and Some Well Known Statistical Methods in the Case of Missing Multivariate Time Series Data
  • Accurate and Efficient Real World Fall Detection Using Time Series Techniques
  • Highly Scalable Time Series Classification for Very Large Datasets
  • Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble An Improved ROCKET Algorithm for Multivariate Time Series Analysis
  • Change Detection in Multivariate data streams Online Analysis with Kernel QuantTree
  • Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.