| A public domain dataset for human activity recognition using smartphones. D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz Esann 3 (1), 3-4, 2013 | 2949 | 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 Ambient Assisted Living and Home Care: 4th International Workshop, IWAAL …, 2012 | 1296 | 2012 |
| Transition-aware human activity recognition using smartphones JL Reyes-Ortiz, L Oneto, A Samà, X Parra, D Anguita Neurocomputing 171, 754-767, 2016 | 839 | 2016 |
| The'K'in K-fold Cross Validation. D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella ESANN 102, 441-446, 2012 | 546 | 2012 |
| A digital architecture for support vector machines: theory, algorithm, and FPGA implementation D Anguita, A Boni, S Ridella IEEE Transactions on neural networks 14 (5), 993-1009, 2003 | 286 | 2003 |
| Big data analytics in the cloud: Spark on hadoop vs mpi/openmp on beowulf JL Reyes-Ortiz, L Oneto, D Anguita Procedia Computer Science 53, 121-130, 2015 | 281 | 2015 |
| 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 | 263 | 2013 |
| Energy efficient smartphone-based activity recognition using fixed-point arithmetic D Anguita, A Ghio, L Oneto, FX Llanas Parra, JL Reyes Ortiz Journal of universal computer science 19 (9), 1295-1314, 2013 | 259 | 2013 |
| 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 | 232 | 2016 |
| Vessels fuel consumption forecast and trim optimisation: A data analytics perspective A Coraddu, L Oneto, F Baldi, D Anguita Ocean Engineering 130, 351-370, 2017 | 224 | 2017 |
| Condition based maintenance in railway transportation systems based on big data streaming analysis E Fumeo, L Oneto, D Anguita Procedia Computer Science 53, 437-446, 2015 | 195 | 2015 |
| Theoretical and practical model selection methods for support vector classifiers D Anguita, A Boni, S Ridella, F Rivieccio, D Sterpi Support vector machines: theory and applications, 159-179, 2005 | 158 | 2005 |
| K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. D Anguita, A Ghio, S Ridella, D Sterpi DMIN, 291-297, 2009 | 153 | 2009 |
| Human activity recognition using smartphones J Reyes-Ortiz, D Anguita, A Ghio, L Oneto, X Parra UCI Machine Learning Repository 4, 2, 2012 | 144 | 2012 |
| 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 | 144 | 2012 |
| 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 | 143 | 2010 |
| Train delay prediction systems: a big data analytics perspective L Oneto, E Fumeo, G Clerico, R Canepa, F Papa, C Dambra, N Mazzino, ... Big data research 11, 54-64, 2018 | 142 | 2018 |
| Quantum optimization for training support vector machines D Anguita, S Ridella, F Rivieccio, R Zunino Neural Networks 16 (5-6), 763-770, 2003 | 138 | 2003 |
| Statistical learning theory and ELM for big social data analysis L Oneto, F Bisio, E Cambria, D Anguita ieee CompUTATionAl inTelliGenCe mAGAzine 11 (3), 45-55, 2016 | 122 | 2016 |
| Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout L Oneto, E Fumeo, G Clerico, R Canepa, F Papa, C Dambra, N Mazzino, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2754-2767, 2017 | 109 | 2017 |
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
