LEADER 04100nam 22005415 450 001 9910770262003321 005 20231219144402.0 010 $a9783031498961 024 7 $a10.1007/978-3-031-49896-1 035 $a(CKB)29436936500041 035 $a(MiAaPQ)EBC31027990 035 $a(Au-PeEL)EBL31027990 035 $a(OCoLC)1415896671 035 $a(DE-He213)978-3-031-49896-1 035 $a(EXLCZ)9929436936500041 100 $a20231219d2023 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Analytics and Learning on Temporal Data$b[electronic resource] $e8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18?22, 2023, Revised Selected Papers /$fedited by Georgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (315 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14343 311 08$a9783031498954 327 $aHuman 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. 330 $aThis volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14343 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 700 $aIfrim$b Georgiana$01460549 701 $aTavenard$b Romain$01460550 701 $aBagnall$b Anthony$01460551 701 $aSchaefer$b Patrick$01460552 701 $aMalinowski$b Simon$01460553 701 $aGuyet$b Thomas$01380137 701 $aLemaire$b Vincent$01460554 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910770262003321 996 $aAdvanced Analytics and Learning on Temporal Data$93660350 997 $aUNINA