Applying data mining techniques to e-learning problems F Castro, A Vellido, A Nebot, F Mugica Evolution of teaching and learning paradigms in intelligent environment, 183-221, 2007 | 517 | 2007 |
Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques S Jurado, À Nebot, F Mugica, N Avellana Energy 86, 276-291, 2015 | 200 | 2015 |
Combined qualitative/quantitative simulation models of continuous-time processes using fuzzy inductive reasoning techniques FE Cellier, A Nebot, F Mugica, AD Albornoz International Journal of General System 24 (1-2), 95-116, 1996 | 80* | 1996 |
Identification of fuzzy models to predict students performance in an e-learning environment A Nebot, F Castro, A Vellido, F Mugica International Conference on Web-based Education, Puerto Vallarta, 74-79, 2006 | 44 | 2006 |
Learning what is important: feature selection and rule extraction in a virtual course. TA Etchells, À Nebot, A Vellido, PJG Lisboa, F Mugica ESANN, 401-406, 2006 | 41 | 2006 |
Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application S Jurado, À Nebot, F Mugica, M Mihaylov Applied soft computing 51, 225-238, 2017 | 34 | 2017 |
PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques A Escobet, À Nebot, F Mugica Engineering Applications of Artificial Intelligence 36, 40-53, 2014 | 32 | 2014 |
Automated synthesis of a fuzzy controller for cargo ship steering by means of qualitative simulation F Mugica, FE Cellier Proc. ESM 94, 523-528, 1994 | 30 | 1994 |
Fuzzy Inductive Reasoning: a consolidated approach to data-driven construction of complex dynamical systems À Nebot, F Mugica International Journal of General Systems 41 (7), 645-665, 2012 | 29 | 2012 |
Modeling and simulation of the central nervous system control with generic fuzzy models A Nebot, F Mugica, FE Cellier, M Vallverdú Simulation 79 (11), 648-669, 2003 | 28 | 2003 |
On the extraction of decision support rules from fuzzy predictive models F Castro, À Nebot, F Mugica Applied Soft Computing 11 (4), 3463-3475, 2011 | 26 | 2011 |
Energy performance forecasting of residential buildings using fuzzy approaches À Nebot, F Mugica Applied Sciences 10 (2), 720, 2020 | 24 | 2020 |
Short-term electric load forecasting using computational intelligence methods S Jurado, J Peralta, A Nebot, F Mugica, P Cortez 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013 | 23 | 2013 |
Local maximum ozone concentration prediction using soft computing methodologies P Gómez, A Nebot, S Ribeiro, R Alquézar, F Mugica, F Wotawa Systems analysis modelling simulation 43 (8), 1011-1031, 2003 | 23 | 2003 |
Simulation of heat and humidity budgets of Biosphere 2 without air conditioning A Nebot, FE Cellier, F Mugica Ecological engineering 13 (1-4), 333-356, 1999 | 17 | 1999 |
Forest fire forecasting using fuzzy logic models A Nebot, F Mugica Forests 12 (8), 1005, 2021 | 16 | 2021 |
A new fuzzy inferencing method for inductive reasoning F Mugica, FE Cellier Proc. of the 6th International Symposium on Artificial Intelligence …, 1993 | 16 | 1993 |
Extraction of logical rules to describe students’ learning behavior F Castro, A Nebot, F Mugica Proceedings of the sixth conference on IASTED International Conference Web …, 2007 | 14 | 2007 |
PM2.5 Emission Elemental Composition from Diverse Combustion Sources in the Metropolitan Area of Mexico City V Mugica, F Mugica, M Torres, J Figueroa The Scientific World Journal 8, 275-286, 2008 | 13 | 2008 |
Applying Data Mining Techniques to e-Learning Problems: a Survey and State of the Art. Evolution of Teaching and Learning Paradigms in Intelligent Environment F Castro, A Velllido, A Nebot, F Mugica Studies in Computational Intelligence 62, 2007 | 13 | 2007 |