| Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model M Rubiolo, ML Caliusco, G Stegmayer, M Coronel, MG Fabrizi Information Sciences 194, 107-119, 2012 | 49 | 2012 |
| Predicting novel microRNA: a comprehensive comparison of machine learning approaches G Stegmayer, LE Di Persia, M Rubiolo, M Gerard, M Pividori, C Yones, ... Briefings in bioinformatics 20 (5), 1607-1620, 2019 | 47 | 2019 |
| Extreme learning machines for reverse engineering of gene regulatory networks from expression time series M Rubiolo, DH Milone, G Stegmayer Bioinformatics 34 (7), 1253-1260, 2018 | 32 | 2018 |
| Predicting activities in business processes with LSTM recurrent neural networks E Tello-Leal, J Roa, M Rubiolo, UM Ramirez-Alcocer 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), 1-7, 2018 | 25 | 2018 |
| Mining gene regulatory networks by neural modeling of expression time-series M Rubiolo, DH Milone, G Stegmayer IEEE/ACM transactions on computational biology and bioinformatics 12 (6 …, 2015 | 15 | 2015 |
| Compressing arrays of classifiers using Volterra-neural network: application to face recognition M Rubiolo, G Stegmayer, D Milone Neural Computing and Applications 23 (6), 1687-1701, 2013 | 9 | 2013 |
| Knowledge source discovery: an experience using ontologies, WordNet and artificial neural networks M Rubiolo, ML Caliusco, G Stegmayer, M Gareli, M Coronel International Conference on Knowledge-Based and Intelligent Information and …, 2009 | 5 | 2009 |
| DL4papers: a deep learning approach for the automatic interpretation of scientific articles LA Bugnon, C Yones, J Raad, M Gerard, M Rubiolo, G Merino, M Pividori, ... Bioinformatics 36 (11), 3499-3506, 2020 | 4 | 2020 |
| Neural Networks and Wireless Communications Modeling M Rubiolo, G Stegmayer, O Chiottti IEEE Latin America Transactions 8 (5), 486-492, 2010 | 3 | 2010 |
| Compressing a neural network classifier using a volterra-neural network model M Rubiolo, G Stegmayer, D Milone The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010 | 3 | 2010 |
| Desarrollo de nuevos modelos y algoritmos basados en redes neuronales para tareas de minera de datos M Rubiolo Universidad Tecnológica Nacional. Facultad Regional Santa Fe, 2014 | 2 | 2014 |
| Minería de Procesos de Negocio Inter-Organizacionales Basados en la Nube IM Lazarte, J Roa, E Tello-Leal, M Rubiolo, P Villarreal | | 2017 |
| Discovering network relations in big time series with application to bioinformatics M Rubiolo, DH Milone, G Stegmayer Simposio Argentino de GRANdes DAtos (AGRANDA 2015)-JAIIO 44 (Rosario, 2015), 2015 | | 2015 |
| NN-based software tool for wireless communications simulation B Romero, M Rubiolo, G Stegmayer, O Chiotti | | |
| Soporte para el modelado de un Sistema de Comunicaciones Móviles con Redes Neuronales M Rubiolo, B Romero, G Stegmayer, O Chiotti | | |
| Extended evaluation of the Volterra-Neural Network for model compression M Rubiolo | | |
Georgina StegmayerSinc(i)-CONICETDirección de correo verificada de sinc.unl.edu.ar
