| A survey of multiple classifier systems as hybrid systems M Woźniak, M Grana, E Corchado Information Fusion 16, 3-17, 2014 | 1068 | 2014 |
| Development of CBR-BDI agents: a tourist guide application JM Corchado, J Pavón, ES Corchado, LF Castillo Advances in Case-Based Reasoning: 7th European Conference, ECCBR 2004 …, 2004 | 283 | 2004 |
| Neural visualization of network traffic data for intrusion detection E Corchado, Á Herrero Applied Soft Computing 11 (2), 2042-2056, 2011 | 212 | 2011 |
| Maximum likelihood hebbian learning based retrieval method for cbr systems JM Corchado, ES Corchado, J Aiken, C Fyfe, F Fernandez, M Gonzalez Case-Based Reasoning Research and Development: 5th International Conference …, 2003 | 210 | 2003 |
| A forecasting solution to the oil spill problem based on a hybrid intelligent system B Baruque, E Corchado, A Mata, JM Corchado Information Sciences 180 (10), 2029-2043, 2010 | 204 | 2010 |
| Analytical model for constructing deliberative agents M Glez-Bedia, JM Corchado, ES Corchado, C Fyfe Engineering Intelligent Systems for Electrical Engineering and …, 2002 | 201 | 2002 |
| Hybrid learning machines. A Abraham, E Corchado, JM Corchado Elsevier Science, 2009 | 185 | 2009 |
| Advances in intelligent systems and computing Y Huang, Y Gao, B Chen, Q Wang, JH Kim, E Matson, H Myung, P Xu, ... | 184 | 2014 |
| Ibr retrieval method based on topology preserving mappings ES Corchado, JM Corchado, J Aiken Journal of Experimental & Theoretical Artificial Intelligence 16 (3), 145-160, 2004 | 176 | 2004 |
| Quantifying the Oceanŏs CO2 Budget with a CoHeL IBR System JM Corchado, J Aiken, ES Corchado, N Lefevre, T Smyth Advances in case-based reasoning, 533, 2004 | 171 | 2004 |
| Hybrid intelligent algorithms and applications E Corchado, A Abraham, A de Carvalho Information Sciences—Informatics and Computer Science, Intelligent Systems …, 2010 | 165 | 2010 |
| Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit E Corchado, D MacDonald, C Fyfe Data Mining and Knowledge Discovery 8, 203-225, 2004 | 162 | 2004 |
| Connectionist techniques for the identification and suppression of interfering underlying factors E Corchado, C Fyfe International Journal of Pattern Recognition and Artificial Intelligence 17 …, 2003 | 138 | 2003 |
| Constructing a global and integral model of business management using a cbr system E Corchado, JM Corchado, L Sáiz, A Lara Cooperative Design, Visualization, and Engineering: First International …, 2004 | 135 | 2004 |
| Evaluating the air–sea interactions and fluxes using an instance-based reasoning system JM Corchado, J Aiken, ES Corchado, F Fdez-Riverola AI Communications 18 (4), 247-256, 2005 | 126 | 2005 |
| Design of cooperative agents for mobile devices JM Corchado, ES Corchado, MA Pellicer Cooperative Design, Visualization, and Engineering: First International …, 2004 | 123 | 2004 |
| Kernel maximum likelihood hebbian learning J Koetsier, E Corchado, D MacDonald, J Corchado, C Fyfe Computational Science-ICCS 2004: 4th International Conference, Kraków …, 2004 | 121 | 2004 |
| Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises ML Borrajo, B Baruque, E Corchado, J Bajo, JM Corchado International journal of neural systems 21 (04), 277-296, 2011 | 118 | 2011 |
| A beta-cooperative cbr system for constructing a business management model ES Corchado, JM Corchado, L Sáiz, A Lara Advances in Data Mining: Applications in Image Mining, Medicine and …, 2005 | 114 | 2005 |
| Maximum likelihood Hebbian rules. C Fyfe, E Corchado ESANN, 143-148, 2002 | 108 | 2002 |
Juan M. CorchadoProfessor of Computer Science, DIGIS3, IoT Digital Innovation Hub, University of Salamancausal.es의 이메일 확인됨
