| A survey of multiple classifier systems as hybrid systems M Woźniak, M Grana, E Corchado Information Fusion 16, 3-17, 2014 | 1204 | 2014 |
| Tarek Gaber Aboul Ella Hassanien Nashwa El-Bendary N Dey | 574 | 2015 |
| Development of CBR-BDI agents: a tourist guide application JM Corchado, J Pavón, ES Corchado, LF Castillo European Conference on Case-based Reasoning, 547-559, 2004 | 311 | 2004 |
| 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 | 231 | 2010 |
| Neural visualization of network traffic data for intrusion detection E Corchado, Á Herrero Applied Soft Computing 11 (2), 2042-2056, 2011 | 227 | 2011 |
| Maximum likelihood hebbian learning based retrieval method for cbr systems JM Corchado, ES Corchado, J Aiken, C Fyfe, F Fernandez, M Gonzalez International Conference on Case-Based Reasoning, 107-121, 2003 | 226 | 2003 |
| Analytical model for constructing deliberative agents M Glez-Bedia, JM Corchado, ES Corchado, C Fyfe Engineering Intelligent Systems for Electrical Engineering and …, 2002 | 223 | 2002 |
| 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 | 191 | 2004 |
| Hybrid learning machines. A Abraham, E Corchado, JM Corchado Elsevier Science, 2009 | 190 | 2009 |
| Quantifying the Ocean’s CO2 budget with a CoHeL-IBR system JM Corchado, J Aiken, ES Corchado, N Lefevre, T Smyth European Conference on Case-Based Reasoning, 533-546, 2004 | 184 | 2004 |
| Hybrid intelligent algorithms and applications E Corchado, A Abraham, A de Carvalho Information Sciences—Informatics and Computer Science, Intelligent Systems …, 2010 | 174 | 2010 |
| Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit E Corchado, D MacDonald, C Fyfe Data Mining and Knowledge Discovery 8 (3), 203-225, 2004 | 163 | 2004 |
| Constructing a global and integral model of business management using a cbr system E Corchado, JM Corchado, L Sáiz, A Lara International Conference on Cooperative Design, Visualization and …, 2004 | 150 | 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 | 143 | 2005 |
| 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 | 141 | 2011 |
| Design of cooperative agents for mobile devices JM Corchado, ES Corchado, MA Pellicer International Conference on Cooperative Design, Visualization and …, 2004 | 141 | 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 | 139 | 2003 |
| Kernel maximum likelihood hebbian learning J Koetsier, E Corchado, D MacDonald, J Corchado, C Fyfe International Conference on Computational Science, 650-653, 2004 | 137 | 2004 |
| A beta-cooperative cbr system for constructing a business management model ES Corchado, JM Corchado, L Sáiz, A Lara Industrial Conference on Data Mining, 42-49, 2004 | 129 | 2004 |
| Maximum likelihood Hebbian rules. C Fyfe, E Corchado ESANN, 143-148, 2002 | 107 | 2002 |
Ajith AbrahamSai University, IndiaVerified email at saiuniversity.edu.in
