| Symbolic execution and thresholding for efficiently tuning fuzzy logic programs G Moreno, J Penabad, JA Riaza, G Vidal International Symposium on Logic-Based Program Synthesis and Transformation …, 2016 | 16 | 2016 |
| The fuzzy logic programming language FASILL: design and implementation P Julián-Iranzo, G Moreno, JA Riaza International Journal of Approximate Reasoning 125, 139-168, 2020 | 14 | 2020 |
| An online tool for tuning fuzzy logic programs G Moreno, JA Riaza Rules and Reasoning: International Joint Conference, RuleML+ RR 2017, London …, 2017 | 14 | 2017 |
| Tuning fuzzy SPARQL queries in a fuzzy logic programming environment JM Almendros-Jiménez, A Becerra-Terón, G Moreno, JA Riaza 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2019 | 11 | 2019 |
| Fuzzy logic programming for tuning neural networks G Moreno, J Pérez, JA Riaza International Joint Conference on Rules and Reasoning, 190-197, 2019 | 8 | 2019 |
| Symbolic unfolding of multi-adjoint logic programs G Moreno, J Penabad, JA Riaza Trends in Mathematics and Computational Intelligence, 43-51, 2019 | 8 | 2019 |
| On similarity-based unfolding G Moreno, J Penabad, JA Riaza International Conference on Scalable Uncertainty Management, 420-426, 2017 | 7 | 2017 |
| Flexible aggregation in FSA-SPARQL JM Almendros-Jiménez, A Becerra-Terón, G Moreno, JA Riaza 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2021 | 5 | 2021 |
| Using SAT/SMT solvers for efficiently tuning fuzzy logic programs JA Riaza, G Moreno 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020 | 5 | 2020 |
| Seeking a safe and efficient similarity-based unfolding rule P Julián-Iranzo, G Moreno, JA Riaza International Journal of Approximate Reasoning 163, 109038, 2023 | 4 | 2023 |
| Some properties of substitutions in the framework of similarity relations P Julián-Iranzo, G Moreno, JA Riaza Fuzzy Sets and Systems 465, 108510, 2023 | 4 | 2023 |
| A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs G Moreno, JA Riaza International Work-Conference on Artificial Neural Networks, 190-201, 2021 | 4 | 2021 |
| Symbolic similarity relations for tuning fully integrated fuzzy logic programs G Moreno, JA Riaza International Joint Conference on Rules and Reasoning, 150-158, 2020 | 4 | 2020 |
| Web development with tau prolog JA Riaza Proceedings of the XXI Conference on Programming and Languages, PROLE’22, 1-14, 2022 | 3 | 2022 |
| An online tool for unfolding symbolic fuzzy logic programs G Moreno, JA Riaza International Work-Conference on Artificial Neural Networks, 475-487, 2019 | 3 | 2019 |
| Testing properties of fuzzy connectives and truth degrees with the latticemaker tool JA Guerrero, F Mendieta, G Moreno, J Penabad, JA Riaza 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 3 | 2017 |
| Tuning fuzzy SPARQL queries JM Almendros-Jiménez, A Becerra-Terón, G Moreno, JA Riaza International Journal of Approximate Reasoning 170, 109209, 2024 | 2 | 2024 |
| Smart Design of Similarity Relations for Fuzzy Logic Programming Environments JA Guerrero, G Moreno, JA Riaza, J Sánchez 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 220-227, 2018 | 2 | 2018 |
| Tuning neural networks in a fuzzy logic programming environment G Moreno, J Pérez, J Riaza Submitted to the XIX Conference on Programming and Languages, PROLE’19 …, 2019 | 1 | 2019 |
| Combining Symbolic Unfolding and Tuning Techniques for Fuzzy Logic Programs G Moreno, JA Riaza BOOK OF ABSTRACTS, 43, 0 | 1 | |
Gines MorenoUniversidad de Catilla-La manchaAdresse e-mail validée de uclm.es
