Jose Maria Alonso Moral (ORCID: 0000-0003-3673-421X)
Jose Maria Alonso Moral (ORCID: 0000-0003-3673-421X)
Research Center on Intelligent Technologies (CITIUS) of University of Santiago de Compostela (USC)
Verified email at - Homepage
Cited by
Cited by
A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence
I Stepin, JM Alonso, A Catala, M Pereira-Fariña
IEEE Access 9, 11974 - 12001, 2021
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
S Ali, T Abuhmed, S El-Sappagh, K Muhammad, JM Alonso-Moral, ...
Information Fusion, 2023
A Multilayer Multimodal Detection and Prediction Model based on Explainable Artificial Intelligence for Alzheimer’s Disease
S El-Sappagh, JM Alonso, SM Riazul Islam, AM Sultan, KS Kwak
Scientific Reports 11, 2021
Looking for a good fuzzy system interpretability index: An experimental approach
JM Alonso, L Magdalena, G González-Rodríguez
International Journal of Approximate Reasoning 51 (1), 115-134, 2009
Interpretability of Fuzzy Systems: Current Research Trends and Prospects
JM Alonso, C Castiello, C Mencar
Springer Handbook of Computational Intelligence, 219-237, 2015
A survey of fuzzy systems software: taxonomy, current research trends and prospects
J Alcala-Fdez, J Alonso
IEEE Transactions on Fuzzy Systems 24 (1), 40-56, 2016
HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism
JM Alonso, L Magdalena, S Guillaume
International Journal of Intelligent Systems 23 (7), 761-794, 2008
Special issue on interpretable fuzzy systems
JM Alonso, L Magdalena
Information Sciences 181 (20), 4331-4339, 2011
A bibliometric analysis of the explainable artificial intelligence research field
JM Alonso, C Castiello, C Mencar
International conference on information processing and management of …, 2018
HILK++: an interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers
JM Alonso, L Magdalena
Soft Computing 15, 1959-1980, 2011
Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort
N Hernández, M Ocaña, JM Alonso, E Kim
Sensors 17 (1), 147, 2017
Robust hybrid deep learning models for Alzheimer’s progression detection
T Abuhmed, S El-Sappagh, JM Alonso
Knowledge-Based Systems 213, 106688, 2021
An ontology-based interpretable fuzzy decision support system for diabetes diagnosis
S El-Sappagh, JM Alonso, F Ali, A Ali, JH Jang, KS Kwak
IEEE Access, 2018
FINGRAMS: visual representations of fuzzy rule-based inference for expert analysis of comprehensibility
DP Pancho, JM Alonso, O Cordón, A Quirin, L Magdalena
IEEE Transactions on Fuzzy Systems 21 (6), 1133-1149, 2013
Explainable Fuzzy Systems: Paving the way from Interpretable Fuzzy Systems to Explainable AI Systems
JM Alonso, C Castiello, L Magdalena, C Mencar
Teaching Explainable Artificial Intelligence to High School Students
JM Alonso
International Journal of Computational Intelligence Systems 13 (1), 974-987, 2020
Explainable artificial intelligence for human-centric data analysis in virtual learning environments
JM Alonso, G Casalino
International workshop on higher education learning methodologies and …, 2019
Generating understandable and accurate fuzzy rule-based systems in a java environment
JM Alonso, L Magdalena
Fuzzy Logic and Applications: 9th International Workshop, WILF 2011, Trani …, 2011
ExpliClas: Automatic Generation of Explanations in Natural Language for Weka Classifiers
JM Alonso, A Bugarín
IEEE International Conferences on Fuzzy Systems, New Orleans, Louisiana (USA), 2019
JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016
JM Soto-Hidalgo, JM Alonso, G Acampora, J Alcala-Fdez
IEEE Access, 2018
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