| 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 | 115 | 2003 |
| 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 | 108 | 2018 |
| 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 | 93 | 2002 |
| 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 | 85 | 2017 |
| 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 | 70 | 2013 |
| Pattern analysis for electronic noses EL Hines, P Boilot, JW Gardner, MA Gongora Handbook of Machine Olfaction: Electronic Nose Technology, 133-160, 2002 | 67 | 2002 |
| A comparative study of fuzzy logic controllers for autonomous robots. S Coupland, MA Gongora, R John, K Wills | 54 | 2006 |
| AC voltage regulator Z Gomez, MA Gongora US Patent 5,545,971, 1996 | 37 | 1996 |
| 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 | 35 | 2018 |
| 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 | 30 | 2015 |
| 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 | 27 | 2022 |
| 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 | 26 | 2020 |
| 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 | 23 | 2007 |
| 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, ... | 23 | 2000 |
| 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 | 22 | 2020 |
| Current trends on knowledge extraction and neural networks DA Elizondo, MA Góngora International Conference on Artificial Neural Networks, 485-490, 2005 | 20 | 2005 |
| 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 | 19 | 2012 |
| 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 | 18 | 2021 |
| 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 | 18 | 2018 |
| 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 | 17 | 2020 |
