Program
The workshop takes place on Friday 19th of September, room TBA.
Invited talk session (2:15 - 3:30)
(chair: Tony Bagnall)
- 2:15: Introduction
- 2:30-3:30: Invited Talk by Assoc Prof Zahraa Abdallah, Rethinking Time Series Clustering: Lessons from Complex Data Streams
Posters Overview (3:30 - 3:45)
(1 slide with 2min spotlight per poster) (chair: Tony Bagnall)
- Multi-output Ensembles for Multi-step Forecasting, Cerqueira, Vitor; Torgo, Luis
- Time series extrinsic regression algorithms for forecasting long time series with a short horizon, Banwell, Alexander; Bagnall, Anthony
- Towards a Library for the Analysis of Temporal Sequences, Guyet, Thomas; Duvermy, Arnaud
- FiTEM: Fine-tuning Time-series Foundation Models for Selective Forecasting, Brusokas, Jonas; Tirupathi, Seshu; Pedersen, Torben Bach
- Characterizing Bird Movement Using Spectral Clustering, Romero, Raphaël; Mitchell, Lucy; Verbruggen, Frederick; Lens, Luc; Lijffijt, Jefrey
- Unsupervised Feature Construction for Time Series Anomaly Detection - An Evaluation, Hamon, Marine; Lemaire, Vincent; Nair-Benrekia, Nour Eddine Yassine; Berlemont, Samuel ; Cumin, Julien
- T3A-LLM: A Two-Stage Temporal Knowledge Graph Alignment Method Enhanced by LLM, Wang, Tao; Zhao, Runhao; Tang, Jiuyang; Liu, Xiaolu
Posters + Coffee break (30mins)
Oral session1 (4:15 - 5:00): Classification and Forecasting
(10min presentation per paper + 5min questions) (chair: Simon Malinowski)
- e-SMOTE: a train set rebalancing algorithm for time series classification, Qiu, Chuanhang; Middlehurst, Matthew; Holder, Christopher; Bagnall, Anthony
- A Deep Dive into Alternatives to the Global Average Pooling for Time Series Classification, Meyer, Cyril; Ismail-Fawaz, Ali; Devanne, Maxime; Weber, Jonathan; Forestier, Germain
- The Next Motif: Tapping into Recurrence Dynamics and Precursor Signals to Forecast Events of Interest, Silva, Miguel; C. Madeira, Sara; Henriques, Rui
Posters + Coffee break (15mins)
Oral session2 (5:15 - 6:15): Augmentation, Imputation, Forecasting
(10min presentation per paper + 5min questions) (chair: Georgiana Ifrim)
- Re-framing Time Series Augmentation Through the Lens of Generative Models, Ismail-Fawaz, Ali; Devanne, Maxime; Berretti, Stefano; Weber, Jonathan; Forestier, Germain
- MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling, Le Naour, Etienne; Nabil, Tahar; Agoua, Ghislain
- FuelCast: Benchmarking Tabular and Temporal Models for Ship Fuel Consumption, Viga, Justus; Mueck, Penelope; Loeser, Alexander; Weis, Torben
- Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting, Saadallah, Amal; Al-Ademi, Abdulaziz