Search Results for author: Óscar Corcho

Found 3 papers, 1 papers with code

Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach

no code implementations13 Jul 2021 Alberto Barbado, Óscar Corcho

Fuel optimization of diesel and petrol vehicles within industrial fleets is critical for mitigating costs and reducing emissions.

Explainable artificial intelligence

Interpretable Machine Learning Models for Predicting and Explaining Vehicle Fuel Consumption Anomalies

no code implementations28 Oct 2020 Alberto Barbado, Óscar Corcho

Identifying anomalies in the fuel consumption of the vehicles of a fleet is a crucial aspect for optimizing consumption and reduce costs.

BIG-bench Machine Learning Interpretable Machine Learning +1

Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM

1 code implementation21 Nov 2019 Alberto Barbado, Óscar Corcho, Richard Benjamins

In this paper, we evaluate several rule extraction techniques over OneClass SVM models, as well as present alternative designs for some of those algorithms.

Explainable artificial intelligence Unsupervised Anomaly Detection

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