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ORCID10th AALTD@ECML/PKDD 2025, Porto, Portugal
- Vincent Lemaire
, Georgiana Ifrim, Anthony J. Bagnall, Simon Malinowski, Patrick Schäfer, Romain Tavenard:
Advanced Analytics and Learning on Temporal Data - 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers. Lecture Notes in Computer Science 16255, Springer 2026, ISBN 978-3-032-15534-4 - Chuanhang Qiu, Matthew Middlehurst, Christopher Holder, Anthony J. Bagnall:
e-SMOTE: A Train Set Rebalancing Algorithm for Time Series Classification. 1-17 - Miguel G. Silva, Sara C. Madeira, Rui Henriques:
The Next Motif: Tapping into Recurrence Dynamics and Precursor Signals to Forecast Events of Interest. 18-37 - Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Re-framing Time Series Augmentation Through the Lens of Generative Models. 38-53 - Justus Viga, Penelope Mueck, Alexander Löser, Torben Weis:
FuelCast: Benchmarking Tabular and Temporal Models for Ship Fuel Consumption. 54-69 - Etienne Le Naour, Tahar Nabil, Ghislain Agoua:
MoTM: Towards a Foundation Model for Time Series Imputation Based on Continuous Modeling. 70-86 - Cyril Meyer, Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
A Deep Dive into Alternatives to the Global Average Pooling for Time Series Classification. 87-102 - Amal Saadallah, Abdulaziz Al-Ademi:
Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting. 103-119 - Marine Hamon, Vincent Lemaire, Noureddine Yassine Nair Benrekia, Samuel Berlemont, Julien Cumin:
Unsupervised Feature Construction for Time Series Anomaly Detection - An Evaluation. 120-133 - Vítor Cerqueira, Luís Torgo:
Multi-output Ensembles for Multi-step Forecasting. 134-148 - Alexander Banwell, Anthony Bagnall:
Time Series Extrinsic Regression Algorithms for Forecasting Long Time Series with a Short Horizon. 149-164 - Thomas Guyet, Arnaud Duvermy:
Towards a Library for the Analysis of Temporal Sequences. 165-180 - Jonas Brusokas, Seshu Tirupathi, Torben Bach Pedersen:
FiTEM: Fine-Tuning Time-Series Foundation Models for Selective Forecasting. 181-195 - Tao Wang, Runhao Zhao, Jiuyang Tang, Xianghan Wang, Xiaolu Liu, Sijie He:
T3A-LLM: A Two-Stage Temporal Knowledge Graph Alignment Method Enhanced by LLM. 196-213
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