| A public domain dataset for human activity recognition using smartphones. D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz Esann, 2013 | 752 | 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 | 613 | 2012 |
| Transition-aware human activity recognition using smartphones JL Reyes-Ortiz, L Oneto, A Samà, X Parra, D Anguita Neurocomputing 171, 754-767, 2016 | 297 | 2016 |
| Big data analytics in the cloud: Spark on hadoop vs mpi/openmp on beowulf. JL Reyes-Ortiz, L Oneto, D Anguita INNS Conference on Big Data 8, 121, 2015 | 166 | 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 | 143 | 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 | 107 | 2012 |
| Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis. E Fumeo, L Oneto, D Anguita INNS Conference on Big Data, 437-446, 2015 | 79 | 2015 |
| An analysis of convolutional long short-term memory recurrent neural networks for gesture recognition E Tsironi, P Barros, C Weber, S Wermter Neurocomputing 268, 76-86, 2017 | 77* | 2017 |
| 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 | 70 | 2016 |
| Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil Advances in Neural Information Processing Systems, 2791-2801, 2018 | 69 | 2018 |
| 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 | 59 | 2016 |
| The'K'in K-fold Cross Validation. D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella ESANN, 2012 | 50 | 2012 |
| 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 | 42 | 2015 |
| 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 | 40 | 2014 |
| 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 | 35 | 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 | 34 | 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 | 33 | 2018 |
| Tikhonov, Ivanov and Morozov regularization for support vector machine learning L Oneto, S Ridella, D Anguita Machine Learning 103 (1), 103-136, 2016 | 31 | 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 | 30 | 2017 |
| 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 | 28 | 2011 |
Davide AnguitaDIBRIS - University of Genova, ItalyVerified email at unige.it
