AALTD@ECML/PKDD

Keyphrases

Publications

2023

Bidya Dash, Shreyas Bilagi, Jasmin Breitenstein, Volker Schomerus, Thorsten Bagdonat, Tim Fingscheidt
Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving. AALTD@ECML/PKDD (2023)
Grzegorz Haranczyk
Change Points Detection in Multivariate Signal Applied to Human Activity Segmentation. AALTD@ECML/PKDD (2023)
Matthew Middlehurst, Anthony J. Bagnall
Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression. AALTD@ECML/PKDD (2023)
Changhong Jin, John Upton, Brian Mac Namee
Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues. AALTD@ECML/PKDD (2023)
Christopher MacKinnon, Robert Atkinson
Designing a New Search Space for Multivariate Time-Series Neural Architecture Search. AALTD@ECML/PKDD (2023)
Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. AALTD@ECML/PKDD (2023)
Luca A. Bennett, Zahraa S. Abdallah
RED CoMETS: An Ensemble Classifier for Symbolically Represented Multivariate Time Series. AALTD@ECML/PKDD (2023)
Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi
Rail Crack Propagation Forecasting Using Multi-horizons RNNs. AALTD@ECML/PKDD (2023)
Anthony Hills, Adam Tsakalidis, Maria Liakata
Time-Aware Predictions of Moments of Change in Longitudinal User Posts on Social Media. AALTD@ECML/PKDD (2023)
Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall
Clustering Time Series with k-Medoids Based Algorithms. AALTD@ECML/PKDD (2023)
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. AALTD@ECML/PKDD (2023)
Arik Ermshaus, Patrick Schäfer, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski
Human Activity Segmentation Challenge @ ECML/PKDD'23. AALTD@ECML/PKDD (2023)
Ting-Ji Huang, Qi-Le Zhou, Han-Jia Ye, De-Chuan Zhan
Change Point Detection via Synthetic Signals. AALTD@ECML/PKDD (2023)
Nicolò Rubattu, Gabriele Maroni, Giorgio Corani
Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies. AALTD@ECML/PKDD (2023)
Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. AALTD@ECML/PKDD (2023)
Rashmi Dutta Baruah, Mario Muñoz Organero
Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction. AALTD@ECML/PKDD (2023)
Jimeng Shi, Rukmangadh Myana, Vitalii Stebliankin, Azam Shirali, Giri Narasimhan
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting. AALTD@ECML/PKDD (2023)
Shima Imani, Harsh Shrivastava
tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation. AALTD@ECML/PKDD (2023)
Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
Evaluating Explanation Methods for Multivariate Time Series Classification. AALTD@ECML/PKDD (2023)

volume 14343, 2023

Advanced Analytics and Learning on Temporal Data - 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers AALTD@ECML/PKDD 14343 (2023)

volume 13812, 2023

Advanced Analytics and Learning on Temporal Data - 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers AALTD@ECML/PKDD 13812 (2023)

2022

2021

volume 13114, 2021

Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers AALTD@ECML/PKDD 13114 (2021)