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ORCIDJosé A. Riaza
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- affiliation: University of Castilla-La Mancha, Spain
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2020 – today
- 2025
[j6]Ginés Moreno, José A. Riaza:
Tuning similarity-based fuzzy logic programs. J. Log. Algebraic Methods Program. 142: 101020 (2025)- 2024
- [j5]Jesús Manuel Almendros-Jiménez
, Antonio Becerra-Terón, Ginés Moreno, José A. Riaza:
Tuning fuzzy SPARQL queries. Int. J. Approx. Reason. 170: 109209 (2024) - [j4]José A. Riaza:
Tau Prolog: A Prolog Interpreter for the Web. Theory Pract. Log. Program. 24(1): 1-21 (2024) - 2023
- [j3]Pascual Julián Iranzo, Ginés Moreno, José Antonio Riaza:
Some properties of substitutions in the framework of similarity relations. Fuzzy Sets Syst. 465: 108510 (2023) - [j2]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]José Antonio Riaza Valverde:
Tau Prolog: A Prolog interpreter for the Web. CoRR abs/2308.11897 (2023) - 2021
- [c12]Jesús Manuel Almendros-Jiménez, Antonio Becerra-Terón, Ginés Moreno, José A. Riaza:
Flexible Aggregation in FSA-SPARQL. FUZZ-IEEE 2021: 1-7 - [c11]Ginés Moreno, José A. Riaza:
A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs. IWANN (1) 2021: 190-201 - 2020
- [j1]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) - [c10]José A. Riaza, Ginés Moreno:
Using SAT/SMT Solvers for Efficiently Tuning Fuzzy Logic Programs. FUZZ-IEEE 2020: 1-8 - [c9]Ginés Moreno, José A. Riaza:
Symbolic Similarity Relations for Tuning Fully Integrated Fuzzy Logic Programs. RuleML+RR 2020: 150-158
2010 – 2019
- 2019
- [c8]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 - [c7]Ginés Moreno, José Antonio Riaza:
An Online Tool for Unfolding Symbolic Fuzzy Logic Programs. IWANN (2) 2019: 475-487 - [c6]Ginés Moreno, Jesús Pérez, José A. Riaza:
Fuzzy Logic Programming for Tuning Neural Networks. RuleML+RR 2019: 190-197 - 2018
- [c5]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
- [c4]Ginés Moreno, José A. Riaza:
An Online Tool for Tuning Fuzzy Logic Programs. RuleML+RR 2017: 184-198 - [c3]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]Ginés Moreno, Jaime Penabad, José Antonio Riaza:
On Similarity-Based Unfolding. SUM 2017: 420-426 - 2016
- [c1]Ginés Moreno, Jaime Penabad, José A. Riaza, Germán Vidal:
Symbolic Execution and Thresholding for Efficiently Tuning Fuzzy Logic Programs. LOPSTR 2016: 131-147
Coauthor Index
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