5 papers · 1 filter
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…
Forward Composition Propagation for Explainable Neural Reasoning
Isel Grau, Gonzalo Nápoles, Marilyn Bello +2
This paper proposes an algorithm called Forward Composition Propagation (FCP) to explain the predictions of feed-forward neural networks operating on structured classification prob…
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau +1
Machine learning solutions for pattern classification problems are nowadays widely deployed in society and industry. However, the lack of transparency and accountability of most ac…
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…
Long Short-term Cognitive Networks
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska +1
In this paper, we present a recurrent neural system named Long Short-term Cognitive Networks (LSTCNs) as a generalization of the Short-term Cognitive Network (STCN) model. Such a g…