| Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks E Alfaro, N García, M Gámez, D Elizondo Decision Support Systems 45 (1), 110-122, 2008 | 432 | 2008 |
| Adabag: An R package for classification with boosting and bagging E Alfaro, M Gamez, N Garcia Journal of Statistical Software 54, 1-35, 2013 | 261 | 2013 |
| ANN+ GIS: An automated system for property valuation N García, M Gámez, E Alfaro Neurocomputing 71 (4-6), 733-742, 2008 | 115 | 2008 |
| Multiclass corporate failure prediction by Adaboost. M1 E Alfaro Cortés, M Gámez Martínez, N García Rubio International Advances in Economic Research 13, 301-312, 2007 | 85 | 2007 |
| Emotional intelligence and mental health in the family: The influence of emotional intelligence perceived by parents and children MT Sánchez-Núñez, N García-Rubio, P Fernández-Berrocal, JM Latorre International Journal of Environmental Research and Public Health 17 (17), 6255, 2020 | 59 | 2020 |
| A fully automated adjustment of ensemble methods in machine learning for modeling complex real estate systems JL Alfaro-Navarro, EL Cano, E Alfaro-Cortés, N García, M Gámez, ... Complexity 2020 (1), 5287263, 2020 | 50 | 2020 |
| Linear discriminant analysis versus adaboost for failure forecasting E Alfaro, M Gámez, N García Revista Española de Financiación y Contabilidad 37 (137), 13-32, 2008 | 37 | 2008 |
| A boosting approach for understanding out-of-control signals in multivariate control charts E Alfaro, JL Alfaro, M Gamez, N Garcia International Journal of Production Research 47 (24), 6821-6834, 2009 | 29 | 2009 |
| Linear separability and classification complexity DA Elizondo, R Birkenhead, M Gamez, N Garcia, E Alfaro Expert Systems with Applications 39 (9), 7796-7807, 2012 | 28 | 2012 |
| A boosting approach for corporate failure prediction EA Cortés, MG Martínez, NG Rubio Applied Intelligence 27, 29-37, 2007 | 28 | 2007 |
| Kriging methodology for regional economic analysis: Estimating the housing price in Albacete MG Martínez, JMM Lorenzo, NG Rubio International Advances in Economic Research 6 (3), 438-450, 2000 | 28 | 2000 |
| A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence I Ghosh, TD Chaudhuri, E Alfaro-Cortés, M Gámez, N García Technological Forecasting and Social Change 181, 121757, 2022 | 26 | 2022 |
| Prediction and interpretation of daily NFT and DeFi prices dynamics: Inspection through ensemble machine learning & XAI I Ghosh, E Alfaro-Cortés, M Gámez, N García-Rubio International Review of Financial Analysis 87, 102558, 2023 | 25 | 2023 |
| Ensemble classification methods with applications in R E Alfaro, M Gámez, N García John Wiley & Sons, 2018 | 23 | 2018 |
| Diseño de redes neuronales artificiales para el mercado inmobiliario. Aplicación a la ciudad de Albacete N GARCIA RUBIO Diseño de redes neuronales artificiales para el mercado inmobiliario …, 2004 | 19 | 2004 |
| Kriging methodology for regional economic analysis: Estimating the housing price in Albacete M Gámez, JM Montero, N García International Advances in Economic Research 6 (3), 438-451, 2000 | 19 | 2000 |
| Using random forest to interpret out-of-control signals E Alfaro-Cortés, JL Alfaro-Navarro, M Gámez, N García Acta Polytechnica Hungarica 17 (6), 115-130, 2020 | 15 | 2020 |
| Gender differences in perceptive emotional adjustment of parents on their children’s emotional intelligence MT Sánchez-Núñez, CR Medina, NG Rubio Psychology 9 (1), 124-143, 2018 | 13 | 2018 |
| Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI I Ghosh, E Alfaro-Cortés, M Gámez, N García-Rubio Expert Systems with Applications 219, 119695, 2023 | 12 | 2023 |
| A GRASP method for building classification trees J Pacheco, E Alfaro, S Casado, M Gámez, N García Expert Systems with Applications 39 (3), 3241-3248, 2012 | 12 | 2012 |
