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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)
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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
1772009
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
1692021
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
1202008
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
1182016
Interpretability of Fuzzy Systems: Current Research Trends and Prospects
JM Alonso, C Castiello, C Mencar
Springer Handbook of Computational Intelligence, 219-237, 2015
1162015
Special issue on interpretable fuzzy systems
JM Alonso, L Magdalena
Information Sciences 181 (20), 4331-4339, 2011
1022011
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
942021
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
902011
A bibliometric analysis of the explainable artificial intelligence research field
JM Alonso, C Castiello, C Mencar
Information Processing and Management of Uncertainty in Knowledge-Based ¡¦, 2018
852018
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
852017
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
682018
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
632013
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
582011
Robust hybrid deep learning models for Alzheimer¡¯s progression detection
T Abuhmed, S El-Sappagh, JM Alonso
Knowledge-Based Systems 213, 106688, 2021
482021
Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors
JM Alonso, M Ocaña, N Hernandez, F Herranz, A Llamazares, MA Sotelo, ...
Applied Soft Computing 11 (8), 4677-4691, 2011
472011
Explainable artificial intelligence for human-centric data analysis in virtual learning environments
JM Alonso, G Casalino
Higher Education Learning Methodologies and Technologies Online: First ¡¦, 2019
462019
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
462018
Human activity recognition in indoor environments by means of fusing information extracted from intensity of WiFi signal and accelerations
A Alvarez-Alvarez, JM Alonso, G Trivino
Information Sciences 223 (1), 162-182, 2013
442013
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
412019
Explainable Fuzzy Systems: Paving the way from Interpretable Fuzzy Systems to Explainable AI Systems
JM Alonso, C Castiello, L Magdalena, C Mencar
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