| A public domain dataset for human activity recognition using smartphones. D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz Esann 3, 3, 2013 | 1109 | 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 | 770 | 2012 |
| Transition-aware human activity recognition using smartphones JL Reyes-Ortiz, L Oneto, A Samà, X Parra, D Anguita Neurocomputing 171, 754-767, 2016 | 418 | 2016 |
| 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 | 203 | 2015 |
| 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 | 175 | 2013 |
| Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, J Shawe-Taylor, M Pontil arXiv preprint arXiv:1802.08626, 2018 | 165 | 2018 |
| 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 | 116 | 2012 |
| 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 | 111 | 2016 |
| 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 | 107 | 2015 |
| The'K'in K-fold Cross Validation. D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella ESANN, 441-446, 2012 | 89 | 2012 |
| 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 | 79 | 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 | 63 | 2017 |
| Technical analysis and sentiment embeddings for market trend prediction A Picasso, S Merello, Y Ma, L Oneto, E Cambria Expert Systems with Applications 135, 60-70, 2019 | 56 | 2019 |
| 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 | 53 | 2014 |
| 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 | 51 | 2018 |
| A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator M Vahdat, L Oneto, D Anguita, M Funk, M Rauterberg Design for teaching and learning in a networked world, 352-366, 2015 | 51 | 2015 |
| 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 | 49 | 2010 |
| 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 | 48 | 2015 |
| Tikhonov, Ivanov and Morozov regularization for support vector machine learning L Oneto, S Ridella, D Anguita Machine Learning 103 (1), 103-136, 2016 | 47 | 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 | 43 | 2017 |
Davide AnguitaDIBRIS - University of Genova, ItalyVerified email at unige.it
