| A public domain dataset for human activity recognition using smartphones. D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz Esann, 2013 | 558 | 2013 |
| Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz International workshop on ambient assisted living, 216-223, 2012 | 511 | 2012 |
| Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz J. UCS 19 (9), 1295-1314, 2013 | 120 | 2013 |
| Energy load forecasting using empirical mode decomposition and support vector regression L Ghelardoni, A Ghio, D Anguita IEEE Transactions on Smart Grid 4 (1), 549-556, 2013 | 113 | 2013 |
| In-sample and out-of-sample model selection and error estimation for support vector machines D Anguita, A Ghio, L Oneto, S Ridella IEEE Transactions on Neural Networks and Learning Systems 23 (9), 1390-1406, 2012 | 103 | 2012 |
| K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. D Anguita, A Ghio, S Ridella, D Sterpi DMIN, 291-297, 2009 | 55 | 2009 |
| A hardware-friendly support vector machine for embedded automotive applications D Anguita, A Ghio, S Pischiutta, S Ridella 2007 international joint conference on neural networks, 1360-1364, 2007 | 49 | 2007 |
| Machine learning approaches for improving condition-based maintenance of naval propulsion plants A Coraddu, L Oneto, A Ghio, S Savio, D Anguita, M Figari Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2016 | 47 | 2016 |
| A support vector machine with integer parameters D Anguita, A Ghio, S Pischiutta, S Ridella Neurocomputing 72 (1-3), 480-489, 2008 | 40 | 2008 |
| Advances in learning analytics and educational data mining M Vahdat, A Ghio, L Oneto, D Anguita, M Funk, M Rauterberg Proc. of ESANN2015, 297-306, 2015 | 36 | 2015 |
| Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. JL Reyes-Ortiz, A Ghio, X Parra, D Anguita, J Cabestany, A Catala ESANN, 2013 | 36 | 2013 |
| The'K'in K-fold Cross Validation. D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella ESANN, 2012 | 35 | 2012 |
| Human activity recognition on smartphones with awareness of basic activities and postural transitions JL Reyes-Ortiz, L Oneto, A Ghio, A Samá, D Anguita, X Parra International conference on artificial neural networks, 177-184, 2014 | 34 | 2014 |
| Model selection for support vector machines: Advantages and disadvantages of the machine learning theory D Anguita, A Ghio, N Greco, L Oneto, S Ridella The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 34 | 2010 |
| A FPGA core generator for embedded classification systems D Anguita, L Carlino, A Ghio, S Ridella Journal of Circuits, Systems, and Computers 20 (02), 263-282, 2011 | 31 | 2011 |
| Accounting harmonization in the BRIC countries: A common path? A Ghio, R Verona Accounting Forum 39 (2), 121-139, 2015 | 27 | 2015 |
| Fully empirical and data-dependent stability-based bounds L Oneto, A Ghio, S Ridella, D Anguita IEEE transactions on cybernetics 45 (9), 1913-1926, 2014 | 26 | 2014 |
| In-sample model selection for support vector machines D Anguita, A Ghio, L Oneto, S Ridella The 2011 International Joint Conference on Neural Networks, 1154-1161, 2011 | 26 | 2011 |
| Local rademacher complexity: Sharper risk bounds with and without unlabeled samples L Oneto, A Ghio, S Ridella, D Anguita Neural Networks 65, 115-125, 2015 | 22 | 2015 |
| The impact of unlabeled patterns in rademacher complexity theory for kernel classifiers L Oneto, D Anguita, A Ghio, S Ridella Advances in Neural information processing systems, 585-593, 2011 | 21 | 2011 |
Davide AnguitaDIBRIS - University of Genova, ItalyEmail verificata su unige.it