activity
20192026
most citedRule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM

75 citations · 126 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Bounds, Decompositions and Null Behaviour of KRATOS: A Mathematical Specification of a Recognition-Comparability Diagnostic

Maria Dolores Gonzalez, Alberto Barbado

KRATOS is a group-structured bibliometric diagnostic that compares the distribution of documents (participation) with the distribution of citation weight (recognition) over a fixed…

cs.AI2021★ 1 cited

Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach

Alberto Barbado, María Dolores González, Débora Carrera

Text classification tasks have improved substantially during the last years by the usage of transformers. However, the majority of researches focus on prose texts, with poetry rece…

cs.AI2021★ 5 cited

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

Alberto Barbado, Óscar Corcho

Fuel optimization of diesel and petrol vehicles within industrial fleets is critical for mitigating costs and reducing emissions. This objective is achievable by acting on fuel-rel…

cs.LG2020★ 1 cited

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

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. However, this information alone is insuffi…

cs.CL2020★ 5 cited

DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels

Alberto Barbado, Víctor Fresno, Ángeles Manjarrés Riesco +1

Nowadays, there are many applications of text mining over corpora from different languages. However, most of them are based on texts in prose, lacking applications that work with p…

cs.LG2019★ 75 cited

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

Alberto Barbado, Óscar Corcho, Richard Benjamins

OneClass SVM is a popular method for unsupervised anomaly detection. As many other methods, it suffers from the black box problem: it is difficult to justify, in an intuitive and s…

cs.AI2019★ 39 cited

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser +9

In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field. For this t…