| Interpretable neural networks based on continuous-valued logic and multicriteria decision operators O Csiszár, G Csiszár, J Dombi Knowledge-Based Systems, 105972, 2020 | 36 | 2020 |
| Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks JGD Ochoa, O Csiszár, T Schimper BMC Medical Informatics and Decision Making 21 (186), 2021 | 34 | 2021 |
| Ordered weighted averaging operators: a short review O Csiszar IEEE Systems, Man, and Cybernetics Magazine 7 (2), 4-12, 2021 | 22 | 2021 |
| The general nilpotent operator system J Dombi, O Csiszár Fuzzy Sets and Systems 261, 1-19, 2015 | 18 | 2015 |
| Squashing activation functions in benchmark tests: Towards a more eXplainable Artificial Intelligence using continuous-valued logic D Zeltner, B Schmid, G Csiszár, O Csiszár Knowledge-Based Systems 218, 106779, 2021 | 16 | 2021 |
| Implications in bounded systems J Dombi, O Csiszár INFORMATION SCIENCES 283, 229-240, 2014 | 15 | 2014 |
| How to implement MCDM tools and continuous logic into neural computation?: Towards better interpretability of neural networks O Csiszár, G Csiszár, J Dombi Knowledge-Based Systems 210, 106530, 2020 | 14 | 2020 |
| Equivalence operators in nilpotent systems J Dombi, O Csiszár Fuzzy Sets and Systems, 2015 | 13 | 2015 |
| Generator-based Modifiers and Membership Functions in Nilpotent Operator Systems O Csiszar, J Dombi IWOBI 2019, IEEE International Work Conference on Bioinspired Intelligence, 2019 | 12 | 2019 |
| Towards Fast and Understandable Computations: Which “And”-and “Or”-Operations Can Be Represented by the Fastest (ie, 1-Layer) Neural Networks? Which Activations Functions Allow … K Alvarez, JC Urenda, O Csiszár, G Csiszár, J Dombi, G Eigner, ... | 11 | 2020 |
| Operator-dependent Modifiers in Nilpotent Logical Systems J Dombi, O Csiszár Proceedings of the 10th International Joint Conference on Computational …, 2018 | 11 | 2018 |
| Self-dual operators and a general framework for weighted nilpotent operators J Dombi, O Csiszár International Journal of Approximate Reasoning 81, 115-127, 2017 | 11 | 2017 |
| Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools J Dombi, O Csiszár Springer Nature, 2021 | 10 | 2021 |
| Why squashing functions in multi-layer neural networks JC Urenda, O Csiszár, G Csiszár, J Dombi, O Kosheleva, V Kreinovich, ... 2020 IEEE international conference on systems, man, and cybernetics (SMC …, 2020 | 8 | 2020 |
| On uninorms with fixed values along their border O Csiszár, J Fodor ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS …, 2014 | 8 | 2014 |
| Uninorm-like parametric activation functions for human-understandable neural models O Csiszár, LS Pusztaházi, L Dénes-Fazakas, MS Gashler, V Kreinovich, ... Knowledge-Based Systems 260, 110095, 2023 | 5 | 2023 |
| Bayesian Logical Neural Networks for Human-Centered Applications in Medicine JGD Ochoa, L Maier, O Csiszar medRxiv 2021.11.15.21266351, 2021 | 5* | 2021 |
| Aggregative Operators J Dombi, O Csiszár Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision …, 2021 | 4 | 2021 |
| Threshold Constructions of Aggregation Functions O Csiszár, J Fodor Computational Cybernetics, IEEE, 191 - 194, 2013 | 4 | 2013 |
| Machine learning-based Curie temperature prediction for magnetic 14: 2: 1 phases AK Choudhary, A Kini, D Hohs, A Jansche, T Bernthaler, O Csiszár, D Goll, ... AIP Advances 13 (3), 2023 | 2 | 2023 |
József Dombiprofessor SZTEAdresse e-mail validée de inf.u-szeged.hu
