| 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 | 421 | 2008 |
| adabag: An R package for classification with boosting and bagging E Alfaro, M Gamez, N Garcia Journal of Statistical Software 54 (2), 1-35, 2013 | 259 | 2013 |
| ANN+ GIS: An automated system for property valuation N García, M Gámez, E Alfaro Neurocomputing 71 (4), 733-742, 2008 | 113 | 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 | 86 | 2007 |
| Do ICT influence economic growth and human development in European Union countries? EA Cortés, JLA Navarro International Advances in Economic Research 17 (1), 28-44, 2011 | 85 | 2011 |
| Linear discriminant analysis versus adaboost for failure forecasting. EA Cortés, MG Martínez, NG Rubio Revista Española de Financiación y Contabilidad 37 (137, Enero–Marzo), 13-32, 2008 | 46* | 2008 |
| A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems JL Alfaro-Navarro, EL Cano, E Alfaro-Córtes, N García, M Gámez, ... Complexity 2020, 2020 | 45 | 2020 |
| M&A effects on innovation and profitability in large European firms S Fernández, Á Triguero, E Alfaro-Cortés Management Decision, 2018 | 41 | 2018 |
| Stakeholders and Long-Term Sustainability of SMEs. Who Really Matters in Crisis Contexts, and When M Manzaneque-Lizano, E Alfaro-Cortés, AM Priego de la Cruz Sustainability 11 (23), 6551, 2019 | 37 | 2019 |
| A boosting approach for understanding out-of-control signals in multivariate control charts E Alfaro, JL Alfaro, M Gámez, N García International Journal of Production Research 47 (24), 6821-6834, 2009 | 29 | 2009 |
| The individual borrowers recognition: Single and ensemble trees M Chrzanowska, E Alfaro, D Witkowska Expert Systems with Applications 36 (3), 6409-6414, 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 (1), 29-37, 2007 | 28 | 2007 |
| adabag: Applies Adaboost E Alfaro, M Gámez, N García M1 and Bagging. R Package version 1, 2006 | 26* | 2006 |
| Ensemble Classification Methods with Applications in R E Alfaro, M Gámez, N García John Wiley & Sons, Incorporated, 2019 | 22 | 2019 |
| 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 | 21 | 2023 |
| 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 | 21 | 2022 |
| Asociación entre las características empresariales y la divulgación sobre Capital Intelectual: Un estudio de las empresas del Ibex 35 FT Romero, EA Cortés Estudios de Economía Aplicada 32 (1), 371-398, 2014 | 19 | 2014 |
| Strategy, competitive factors and performance in small and medium enterprise (SMEs) D García-Pérez-de-Lema, E Alfaro-Cortes, M Manzaneque-Lizano, ... African Journal of Business Management 6 (26), 7714-7726, 2012 | 16 | 2012 |
| Using Random Forest to Interpret Out-of-Control Signals E Alfaro-Cortes, JL Alfaro-Navarro, M Gamez, N Garcia Acta Polytechnica Hungarica 17 (6), 115-130, 2020 | 15 | 2020 |
