Abstract is missing.
- Human Activity Segmentation Challenge @ ECML/PKDD'23Arik Ermshaus, Patrick Schäfer 0001, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire 0001, Ulf Leser, Colin Leverger, Simon Malinowski. 3-13 [doi]
- Change Points Detection in Multivariate Signal Applied to Human Activity SegmentationGrzegorz Haranczyk. 14-24 [doi]
- Change Point Detection via Synthetic SignalsTing-Ji Huang, Qi-Le Zhou, Han-Jia Ye, De-Chuan Zhan. 25-35 [doi]
- Clustering Time Series with k-Medoids Based AlgorithmsChristopher Holder, David Guijo-Rubio, Anthony J. Bagnall. 39-55 [doi]
- Explainable Parallel RCNN with Novel Feature Representation for Time Series ForecastingJimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan. 56-75 [doi]
- RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time SeriesLuca A. Bennett, Zahraa S. Abdallah. 76-91 [doi]
- Deep Long Term Prediction for Semantic Segmentation in Autonomous DrivingBidya Dash, Shreyas Bilagi, Jasmin Breitenstein, Volker Schomerus, Thorsten Bagdonat, Tim Fingscheidt. 92-112 [doi]
- Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic RegressionMatthew Middlehurst, Anthony J. Bagnall. 113-126 [doi]
- ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter AveragingAli Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier. 127-142 [doi]
- Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory NetworksLaura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk. 145-158 [doi]
- Evaluating Explanation Methods for Multivariate Time Series ClassificationDavide Italo Serramazza, Thu-Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim. 159-175 [doi]
- tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series SegmentationShima Imani, Harsh Shrivastava 0001. 176-189 [doi]
- Designing a New Search Space for Multivariate Time-Series Neural Architecture SearchChristopher MacKinnon, Robert Atkinson. 190-204 [doi]
- Back to Basics: A Sanity Check on Modern Time Series Classification AlgorithmsBhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim. 205-229 [doi]
- Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health IssuesChanghong Jin, John Upton, Brian Mac Namee. 230-242 [doi]
- Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series PredictionRashmi Dutta Baruah, Mario Muñoz Organero. 243-259 [doi]
- Rail Crack Propagation Forecasting Using Multi-horizons RNNsSara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi. 260-275 [doi]
- Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal HierarchiesNicolò Rubattu, Gabriele Maroni, Giorgio Corani. 276-292 [doi]
- Time-Aware Predictions of Moments of Change in Longitudinal User Posts on Social MediaAnthony Hills, Adam Tsakalidis, Maria Liakata. 293-305 [doi]