141 citations · 288 across the 11 of their papers we have counts for
5 papers · 1 filter
A Historical Context for Data Streams
Indre Zliobaite, Jesse Read
Machine learning from data streams is an active and growing research area. Research on learning from streaming data typically makes strict assumptions linked to computational resou…
Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool
Alban Puech, Jesse Read
We introduce REmap-eu.app, a web-based data-mining visualization tool of the spatial and temporal variability of wind resources. It uses the latest open-access dataset of the daily…
An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning
Alban Puech, Jesse Read
Yaw misalignment, measured as the difference between the wind direction and the nacelle position of a wind turbine, has consequences on the power output, the safety and the lifetim…
Shapley Chains: Extending Shapley Values to Classifier Chains
Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch +1
In spite of increased attention on explainable machine learning models, explaining multi-output predictions has not yet been extensively addressed. Methods that use Shapley values…
Transferable Deep Metric Learning for Clustering
Simo Alami. C, Rim Kaddah, Jesse Read
Clustering in high dimension spaces is a difficult task; the usual distance metrics may no longer be appropriate under the curse of dimensionality. Indeed, the choice of the metric…