Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks E Alfaro, N García, M Gámez, D Elizondo Decision support systems 45 (1), 110-122, 2008 | 424 | 2008 |
Development of a neural network model to predict daily solar radiation D Elizondo, G Hoogenboom, RW McClendon Agricultural and forest meteorology 71 (1-2), 115-132, 1994 | 231 | 1994 |
The linear separability problem: Some testing methods D Elizondo IEEE Transactions on neural networks 17 (2), 330-344, 2006 | 169 | 2006 |
Neural network models for predicting flowering and physiological maturity of soybean DA Elizondo, RW McClendon, G Hoogenboom Transactions of the ASAE 37 (3), 981-988, 1994 | 147 | 1994 |
A renewed approach to serious games for cyber security A Le Compte, D Elizondo, T Watson 2015 7th International Conference on Cyber Conflict: Architectures in …, 2015 | 113 | 2015 |
Development of an RDP neural network for building energy consumption fault detection and diagnosis F Magoulès, H Zhao, D Elizondo Energy and Buildings 62, 133-138, 2013 | 103 | 2013 |
Assessment of geometric features for individual identification and verification in biometric hand systems RM Luque-Baena, D Elizondo, E López-Rubio, EJ Palomo, T Watson Expert systems with applications 40 (9), 3580-3594, 2013 | 68 | 2013 |
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans CJ Carmona, V Ruiz-Rodado, MJ del Jesús, A Weber, M Grootveld, ... Information Sciences 298, 180-197, 2015 | 63 | 2015 |
A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction JJ Ruiz-Aguilar, I Turias, J González-Enrique, D Urda, D Elizondo Neural Computing and Applications 33 (7), 2369-2391, 2021 | 61 | 2021 |
A survey of partially connected neural networks D Elizondo, E Fiesler International journal of neural systems 8 (05n06), 535-558, 1997 | 60 | 1997 |
Application of growing hierarchical SOM for visualisation of network forensics traffic data EJ Palomo, J North, D Elizondo, RM Luque, T Watson Neural Networks 32, 275-284, 2012 | 50 | 2012 |
Correcting data imbalance for semi-supervised covid-19 detection using x-ray chest images S Calderon-Ramirez, S Yang, A Moemeni, D Elizondo, ... Applied Soft Computing 111, 107692, 2021 | 46 | 2021 |
Application of artificial neural networks and related techniques to intrusion detection C Bitter, DA Elizondo, T Watson The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 45 | 2010 |
Incorporating expert advice into reinforcement learning using constructive neural networks R Ollington, P Vamplew, J Swanson Constructive Neural Networks, 207-224, 2009 | 42 | 2009 |
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting K Thurnhofer-Hemsi, E Lopez-Rubio, E Dominguez, DA Elizondo IEEE Access 9, 112193-112205, 2021 | 41 | 2021 |
Authentication of individuals using hand geometry biometrics: A neural network approach M Faundez-Zanuy, DA Elizondo, MÁ Ferrer-Ballester, ... Neural Processing Letters 26, 201-216, 2007 | 41 | 2007 |
Improving uncertainty estimation with semi-supervised deep learning for covid-19 detection using chest x-ray images S Calderon-Ramirez, S Yang, A Moemeni, S Colreavy-Donnelly, ... Ieee Access 9, 85442-85454, 2021 | 40 | 2021 |
Multilayer perceptron applied to the estimation of the influence of the solar spectral distribution on thin-film photovoltaic modules M Piliougine, D Elizondo, L Mora-López, M Sidrach-de-Cardona Applied energy 112, 610-617, 2013 | 39 | 2013 |
Are public intrusion datasets fit for purpose characterising the state of the art in intrusion event datasets A Kenyon, L Deka, D Elizondo Computers & Security 99, 102022, 2020 | 38 | 2020 |
Use of Bayesian inference method to model vehicular air pollution in local urban areas A Orun, D Elizondo, E Goodyer, D Paluszczyszyn Transportation Research Part D: Transport and Environment 63, 236-243, 2018 | 36 | 2018 |