Program
The workshop takes place on Friday 13th of September, in room Alpha (large room in the main conference lobby).
Invited talk session (chair: Tony Bagnall)
- 9:30: Introduction
- 9:40-10:40: Invited Talk by Paul Boniol, Anomaly detection in time series
Coffee break (40mins)
Oral session 1 (11:20-1:00): Classification, Segmentation and Imputation (chair: Georgiana Ifrim)
(15’ presentation per paper + 5’ questions)
- Highly Scalable Time Series Classification for Very Large Datasets, Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, and Geoffrey I. Webb
- Reservoir Memory Networks: time-series classification with untrained RNNs, Claudio Gallicchio and Andrea Ceni
- Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSP, Arik Ermshaus, Patrick Schäfer, Ulf Leser
- Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree, Michelangelo Olmo Nogara Notarianni, Filippo Leveni, Diego Stucchi, Luca Frittoli and Giacomo Boracchi
- Comparing the Performance of Recurrent Neural Network and Some Well-Known Statistical Methods in the Case of Missing Multivariate Time Series Data, Samira Zahmatkesh, Philipp Zech
Lunch break (1h)
Oral session 2 (2:00-3:40): Applications (chair: Patrick Schäfer)
(15’ presentation per paper + 5’ questions)
- Accurate and Efficient Real-World Fall Detection Using Time Series Techniques, Timilehin B. Aderinola, Luca Palmerini, Ilaria D’Ascanio, Lorenzo Chiari, Jochen Klenk, Clemens Becker, Brian Caulfield, and Georgiana Ifrim
- Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment, Ali Ismail-Fawaz, Maxime Devanne , Stefano Berretti , Jonathan Weber, Germain Forestier
- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis, Adrià Solana, Erik Fransén, and Gonzalo Uribarri
- Conformal Prediction Techniques for Electricity Price Forecasting, Ciaran O’Connor, Steve Prestwich, Andrea Visentin
Coffee break (40mins)
Poster session (4:20-5:50)
(all papers are invited to prepare a short presentation + poster)
- Highly Scalable Time Series Classification for Very Large Datasets, Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, and Geoffrey I. Webb
- Reservoir Memory Networks: time-series classification with untrained RNNs, Claudio Gallicchio and Andrea Ceni
- Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSP, Arik Ermshaus, Patrick Schäfer, Ulf Leser
- Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree, Michelangelo Olmo Nogara Notarianni , Filippo Leveni, Diego Stucchi, Luca Frittoli and Giacomo Boracchi
- Comparing the Performance of Recurrent Neural Network and Some Well-Known Statistical Methods in the Case of Missing Multivariate Time Series Data, Samira Zahmatkesh, Philipp Zech
- Accurate and Efficient Real-World Fall Detection Using Time Series Techniques, Timilehin B. Aderinola, Luca Palmerini, Ilaria D’Ascanio, Lorenzo Chiari, Jochen Klenk, Clemens Becker, Brian Caulfield, and Georgiana Ifrim
- Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment, Ali Ismail-Fawaz, Maxime Devanne , Stefano Berretti , Jonathan Weber, Germain Forestier
- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis, Adrià Solana, Erik Fransén, and Gonzalo Uribarri
- Conformal Prediction Techniques for Electricity Price Forecasting, Ciaran O’Connor, Steve Prestwich, Andrea Visentin