Symbolic Execution and Thresholding for Efficiently Tuning Fuzzy Logic Programs. - Ginés Moreno; Jaime Penabad; José A. Riaza; Germán Vidal (LOPSTR, 2016)

An Online Tool for Tuning Fuzzy Logic Programs. - Ginés Moreno; José A. Riaza (RuleML+RR, 2017)

Testing properties of fuzzy connectives and truth degrees with the latticemaker tool. - Juan Antonio Guerrero; Felix Mendieta; Ginés Moreno; Jaime Penabad; José Antonio Riaza (SSCI, 2017)

On Similarity-Based Unfolding. - Ginés Moreno; Jaime Penabad; José Antonio Riaza (SUM, 2017)

Smart Design of Similarity Relations for Fuzzy Logic Programming Environments. - Juan Antonio Guerrero; Ginés Moreno; José Antonio Riaza; Javier Sanchez (SSCI, 2018)

Tuning Fuzzy SPARQL Queries in a Fuzzy Logic Programming Environment. - Jesús Manuel Almendros-Jiménez; Antonio Becerra-Terón; Ginés Moreno; José A. Riaza (FUZZ-IEEE, 2019)

An Online Tool for Unfolding Symbolic Fuzzy Logic Programs. - Ginés Moreno; José Antonio Riaza (IWANN (2), 2019)

Fuzzy Logic Programming for Tuning Neural Networks. - Ginés Moreno; Jesús Pérez; José A. Riaza (RuleML+RR, 2019)

Using SAT/SMT Solvers for Efficiently Tuning Fuzzy Logic Programs. - José A. Riaza; Ginés Moreno (FUZZ-IEEE, 2020)

Symbolic Similarity Relations for Tuning Fully Integrated Fuzzy Logic Programs. - Ginés Moreno; José A. Riaza (RuleML+RR, 2020)

The Fuzzy Logic Programming language FASILL: Design and implementation. - Pascual Julián Iranzo; Ginés Moreno; José Antonio Riaza (Int. J. Approx. Reason., 2020)

Flexible Aggregation in FSA-SPARQL. - Jesús Manuel Almendros-Jiménez; Antonio Becerra-Terón; Ginés Moreno; José A. Riaza (FUZZ-IEEE, 2021)

A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs. - Ginés Moreno; José A. Riaza (IWANN (1), 2021)

Some properties of substitutions in the framework of similarity relations. - Pascual Julián Iranzo; Ginés Moreno; José Antonio Riaza (Fuzzy Sets Syst., 2023)

Seeking a safe and efficient similarity-based unfolding rule. - Pascual Julián Iranzo; Ginés Moreno; José Antonio Riaza (Int. J. Approx. Reason., 2023)

Tuning fuzzy SPARQL queries. - Jesús Manuel Almendros-Jiménez; Antonio Becerra-Terón; Ginés Moreno; José A. Riaza (Int. J. Approx. Reason., 2024)

Tau Prolog: A Prolog Interpreter for the Web. - José A. Riaza (Theory Pract. Log. Program., 2024)

Tuning similarity-based fuzzy logic programs. - Ginés Moreno; José A. Riaza (J. Log. Algebraic Methods Program., 2025)