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Prof. M.A. Gongora
Prof. M.A. Gongora
在 dmu.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions
P Boilot, EL Hines, MA Gongora, RS Folland
Sensors and Actuators B: Chemical 88 (1), 80-88, 2003
1152003
Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams
C Fahy, S Yang, M Gongora
IEEE transactions on cybernetics 49 (6), 2215-2228, 2018
1082018
Early warning apparatus for acute Myocardial Infarction in the first six hours of pain
F Anzellini, A Sesana, M Gongora
US Patent 6,339,720, 2002
932002
Ant colony optimization for simulated dynamic multi-objective railway junction rescheduling
J Eaton, S Yang, M Gongora
IEEE Transactions on Intelligent Transportation Systems 18 (11), 2980-2992, 2017
852017
Web usage mining with evolutionary extraction of temporal fuzzy association rules
SG Matthews, MA Gongora, AA Hopgood, S Ahmadi
Knowledge-Based Systems 54, 66-72, 2013
702013
Pattern analysis for electronic noses
EL Hines, P Boilot, JW Gardner, MA Gongora
Handbook of Machine Olfaction: Electronic Nose Technology, 133-160, 2002
672002
A comparative study of fuzzy logic controllers for autonomous robots.
S Coupland, MA Gongora, R John, K Wills
542006
AC voltage regulator
Z Gomez, MA Gongora
US Patent 5,545,971, 1996
371996
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management
A Peña, I Bonet, C Lochmuller, F Chiclana, M Góngora
Expert Systems with Applications 98, 11-26, 2018
352018
Application of artificial neural network and support vector regression in cognitive radio networks for RF power prediction using compact differential evolution algorithm
S Iliya, E Goodyer, J Gow, J Shell, M Gongora
2015 federated conference on computer science and information systems …, 2015
302015
Scarcity of labels in non-stationary data streams: A survey
C Fahy, S Yang, M Gongora
ACM Computing Surveys (CSUR) 55 (2), 1-39, 2022
272022
Oil palm detection via deep transfer learning
I Bonet, F Caraffini, A Peña, A Puerta, M Gongora
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
262020
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks
DA Elizondo, R Birkenhead, M Góngora, E Taillard, P Luyima
Neural Networks 20 (10), 1095-1108, 2007
232007
Detection of bacteria causing eye infection using a neural network based electronic nose system
P Boilot, EL Hines, S John, J Mitchell, F Lopez, JW Gardner, E Llobet, ...
232000
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
J Florez-Lozano, F Caraffini, C Parra, M Gongora
Information Fusion 64, 32-49, 2020
222020
Current trends on knowledge extraction and neural networks
DA Elizondo, MA Góngora
International Conference on Artificial Neural Networks, 485-490, 2005
202005
Temporal fuzzy association rule mining with 2-tuple linguistic representation
SG Matthews, MA Gongora, AA Hopgood, S Ahmadi
2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012
192012
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
A Pena, A Patino, F Chiclana, F Caraffini, M Gongora, JD Gonzalez-Ruiz, ...
Applied Soft Computing 107, 107381, 2021
182021
A fuzzy credibility model to estimate the operational value at risk using internal and external data of risk events
A Pena, I Bonet, C Lochmuller, HA Patino, F Chiclana, MA Gongora
Knowledge-Based Systems 159, 98-109, 2018
182018
Shallow buried improvised explosive device detection via convolutional neural networks
S Colreavy-Donnelly, F Caraffini, S Kuhn, M Gongora, J Florez-Lozano, ...
Integrated Computer-Aided Engineering 27 (4), 403-416, 2020
172020
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