You can find here a preliminary program of the AALTD workshop (to be finalized — accepted articles can be found here and pdf files containing all oral and poster papers can be downloaded):
- Session 1 (9h – 10h40)
- Workshop introduction (by your wonderful organizers)
- Time Series Classification with Recurrent Neural Networks, Denis Smirnov and Engelbert Mephu Nguifo [pdf]
-
Network Classification in Temporal Networks Using Motifs, Kun Tu, Jian Li, Don Towsley, Dave Braines and Liam Turner [pdf]
- Presentation of the new “multivariate time-series archive“, T. Bagnall
- Spotlight presentations of posters (2′ per poster)
- Session 2 (11h – 12h40)
- Invited Speaker – Germain Forestier – Deep Learning for Time Series Classification – Applications to Surgical Data Science
- CSBN: A Hybrid Approach For Survival Time Prediction With Missing Data, Simon Rabinowicz, Raphaela Butz, Arjen Hommersom and Matt Williams [pdf]
- Day-ahead time series forecasting : application to capacity planning, Colin Leverger, Vincent Lemaire, Simon Malinowski, Thomas Guyet and Laurence Rozé [pdf]
- Lunch time: First round of discussion around posters and demos
- Session 3 (14h-15h40)
- Multivariate Time Series Classification with WEASEL+MUSE, Patrick Schäfer and Ulf Leser [pdf]
- A shapelet transform for multivariate time series classification, Aaron Bostrom and Anthony Bagnall [pdf]
- Data augmentation using synthetic data for time series classification, with deep residual networks, Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller [pdf]
- Can automated smoothing significantly improve benchmark time series classification algorithms?, James Large, Paul Southam and Anthony Bagnall [pdf]
- Session 4 (16h-17h40)
