Emilio Corchado
Emilio Corchado
Associate Professor of Computer Science, Salamanca University
Verified email at usal.es - Homepage
Cited by
Cited by
Statistics and finance: An introduction
D Ruppert
Springer, 2014
A survey of multiple classifier systems as hybrid systems
M Woźniak, M Graña, E Corchado
Information Fusion 16, 3-17, 2014
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
Neural visualization of network traffic data for intrusion detection
E Corchado, Á Herrero
Applied Soft Computing 11 (2), 2042-2056, 2011
Hybrid learning machines.
A Abraham, E Corchado, JM Corchado
Elsevier Science, 2009
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
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
Hybrid intelligent algorithms and applications
E Corchado, A Abraham, A de Carvalho
Information Sciences—Informatics and Computer Science, Intelligent Systems …, 2010
Analytical model for constructing deliberative agents
M Glez-Bedia, JM Corchado, ES Corchado, C Fyfe
Engineering Intelligent Systems for Electrical Engineering and …, 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
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
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
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
Maximum likelihood Hebbian rules.
C Fyfe, E Corchado
ESANN, 143-148, 2002
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
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
A soft computing method for detecting lifetime building thermal insulation failures
J Sedano, L Curiel, E Corchado, E de la Cal, JR Villar
Integrated Computer-Aided Engineering 17 (2), 103-115, 2010
Structuring global responses of local filters using lateral connections
E Corchado, Y Han, C Fyfe
Journal of Experimental & Theoretical Artificial Intelligence 15 (4), 473-487, 2003
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
Design of cooperative agents for mobile devices
JM Corchado, ES Corchado, MA Pellicer
International Conference on Cooperative Design, Visualization and …, 2004
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