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 | 447 | 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 | 236 | 1994 |
The linear separability problem: Some testing methods D Elizondo IEEE Transactions on neural networks 17 (2), 330-344, 2006 | 178 | 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 | 149 | 1994 |
A renewed approach to serious games for cyber security. TW Alexis Le Compte, David A. Elizondo CyCon, 203-216, 2015 | 115* | 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 | 105 | 2013 |
Computational approaches to explainable artificial intelligence: advances in theory, applications and trends JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... Information Fusion 100, 101945, 2023 | 94 | 2023 |
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 | 71 | 2013 |
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 | 70 | 2021 |
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 | 65 | 2020 |
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. DAE Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber ... Inf. Sci 298, 180-195, 2015 | 65 | 2015 |
A survey of partially connected neural networks D Elizondo, E Fiesler International journal of neural systems 8 (05n06), 535-558, 1997 | 63 | 1997 |
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting K Thurnhofer-Hemsi, E López-Rubio, E Dominguez, DA Elizondo IEEE Access 9, 112193-112205, 2021 | 62 | 2021 |
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 | 51 | 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 | 49 | 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 | 47 | 2010 |
Constructive neural networks L Franco, DA Elizondo, JM Jerez Studies in Computational Intelligence 258, 2009 | 46* | 2009 |
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 | 45 | 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 | 42 | 2013 |
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 |