65 citations · 90 across the 7 of their papers we have counts for
7 papers
Temporal Disaggregation of the Cumulative Grass Growth
Thomas Guyet, Laurent Spillemaecker, Simon Malinowski +1
Information on the grass growth over a year is essential for some models simulating the use of this resource to feed animals on pasture or at barn with hay or grass silage. Unfortu…
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Yichang Wang, Rémi Emonet, Elisa Fromont +4
Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to thi…
Day-ahead time series forecasting: application to capacity planning
Colin Leverger, Vincent Lemaire, Simon Malinowski +2
In the context of capacity planning, forecasting the evolution of informatics servers usage enables companies to better manage their computational resources. We address this proble…
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
James Large, Anthony Bagnall, Simon Malinowski +1
A family of algorithms for time series classification (TSC) involve running a sliding window across each series, discretising the window to form a word, forming a histogram of word…
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
Adeline Bailly, Simon Malinowski, Romain Tavenard +2
Time series classification is an application of particular interest with the increase of data to monitor. Classical techniques for time series classification rely on point-to-point…
Event and Anomaly Detection Using Tucker3 Decomposition
Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama +2
Failure detection in telecommunication networks is a vital task. So far, several supervised and unsupervised solutions have been provided for discovering failures in such networks.…
Synchronization recovery and state model reduction for soft decoding of variable length codes
Simon Malinowski, Hervé Jégou, Christine Guillemot
Variable length codes exhibit de-synchronization problems when transmitted over noisy channels. Trellis decoding techniques based on Maximum A Posteriori (MAP) estimators are often…