4 papers
Multi-objective hyperparameter optimization with performance uncertainty
Alejandro Morales-Hernández, Inneke Van Nieuwenhuyse, Gonzalo Nápoles
The performance of any Machine Learning (ML) algorithm is impacted by the choice of its hyperparameters. As training and evaluating a ML algorithm is usually expensive, the hyperpa…
Measuring Wind Turbine Health Using Drifting Concepts
Agnieszka Jastrzebska, Alejandro Morales-Hernández, Gonzalo Nápoles +2
Time series processing is an essential aspect of wind turbine health monitoring. Despite the progress in this field, there is still room for new methods to improve modeling quality…
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
Alejandro Morales-Hernández, Inneke Van Nieuwenhuyse, Sebastian Rojas Gonzalez
Hyperparameter optimization (HPO) is a necessary step to ensure the best possible performance of Machine Learning (ML) algorithms. Several methods have been developed to perform HP…
Online learning of windmill time series using Long Short-term Cognitive Networks
Alejandro Morales-Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska +2
Forecasting windmill time series is often the basis of other processes such as anomaly detection, health monitoring, or maintenance scheduling. The amount of data generated on wind…