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José A. Riaza

José Antonio Riaza – José Antonio Riaza Valverde

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affiliation: University of Castilla-La Mancha, Spain

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2020 – today

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2025
[j6]
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Ginés Moreno, José A. Riaza:
Tuning similarity-based fuzzy logic programs. J. Log. Algebraic Methods Program. 142: 101020 (2025)
2024
[j5]
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Jesús Manuel Almendros-Jiménez, Antonio Becerra-Terón, Ginés Moreno, José A. Riaza:
Tuning fuzzy SPARQL queries. Int. J. Approx. Reason. 170: 109209 (2024)
[j4]
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José A. Riaza:
Tau Prolog: A Prolog Interpreter for the Web. Theory Pract. Log. Program. 24(1): 1-21 (2024)
2023
[j3]
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Pascual Julián Iranzo, Ginés Moreno, José Antonio Riaza:
Some properties of substitutions in the framework of similarity relations. Fuzzy Sets Syst. 465: 108510 (2023)
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Pascual Julián Iranzo, Ginés Moreno, José Antonio Riaza:
Seeking a safe and efficient similarity-based unfolding rule. Int. J. Approx. Reason. 163: 109038 (2023)
[i1]
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José Antonio Riaza Valverde:
Tau Prolog: A Prolog interpreter for the Web. CoRR abs/2308.11897 (2023)
2021
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Jesús Manuel Almendros-Jiménez, Antonio Becerra-Terón, Ginés Moreno, José A. Riaza:
Flexible Aggregation in FSA-SPARQL. FUZZ-IEEE 2021: 1-7
[c11]
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Ginés Moreno, José A. Riaza:
A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs. IWANN (1) 2021: 190-201
2020
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Pascual Julián Iranzo, Ginés Moreno, José Antonio Riaza:
The Fuzzy Logic Programming language FASILL: Design and implementation. Int. J. Approx. Reason. 125: 139-168 (2020)
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José A. Riaza, Ginés Moreno:
Using SAT/SMT Solvers for Efficiently Tuning Fuzzy Logic Programs. FUZZ-IEEE 2020: 1-8
[c9]
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Ginés Moreno, José A. Riaza:
Symbolic Similarity Relations for Tuning Fully Integrated Fuzzy Logic Programs. RuleML+RR 2020: 150-158

2010 – 2019

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2019
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Jesús Manuel Almendros-Jiménez, Antonio Becerra-Terón, Ginés Moreno, José A. Riaza:
Tuning Fuzzy SPARQL Queries in a Fuzzy Logic Programming Environment. FUZZ-IEEE 2019: 1-7
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Ginés Moreno, José Antonio Riaza:
An Online Tool for Unfolding Symbolic Fuzzy Logic Programs. IWANN (2) 2019: 475-487
[c6]
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Ginés Moreno, Jesús Pérez, José A. Riaza:
Fuzzy Logic Programming for Tuning Neural Networks. RuleML+RR 2019: 190-197
2018
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  - conf/ssci/GuerreroMRS18
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Juan Antonio Guerrero, Ginés Moreno, José Antonio Riaza, Javier Sanchez:
Smart Design of Similarity Relations for Fuzzy Logic Programming Environments. SSCI 2018: 220-227
2017
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Ginés Moreno, José A. Riaza:
An Online Tool for Tuning Fuzzy Logic Programs. RuleML+RR 2017: 184-198
[c3]
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Juan Antonio Guerrero, Felix Mendieta, Ginés Moreno, Jaime Penabad, José Antonio Riaza:
Testing properties of fuzzy connectives and truth degrees with the latticemaker tool. SSCI 2017: 1-8
[c2]
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Ginés Moreno, Jaime Penabad, José Antonio Riaza:
On Similarity-Based Unfolding. SUM 2017: 420-426
2016
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Ginés Moreno, Jaime Penabad, José A. Riaza, Germán Vidal:
Symbolic Execution and Thresholding for Efficiently Tuning Fuzzy Logic Programs. LOPSTR 2016: 131-147

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