program.md

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title	Program
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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

6pm: Conclusion of the workshop