| 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 | 3395 | 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 | 1375 | 2012 |
| Transition-aware human activity recognition using smartphones JL Reyes-Ortiz, L Oneto, A Samà, X Parra, D Anguita Neurocomputing 171, 754-767, 2016 | 934 | 2016 |
| The'K'in K-fold Cross Validation. D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella Esann 102, 441-446, 2012 | 676 | 2012 |
| Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil Advances in neural information processing systems 31, 2018 | 632 | 2018 |
| 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 | 388 | 2019 |
| Data-driven ship digital twin for estimating the speed loss caused by the marine fouling A Coraddu, L Oneto, F Baldi, F Cipollini, M Atlar, S Savio Ocean Engineering 186, 106063, 2019 | 305 | 2019 |
| 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 | 284 | 2015 |
| 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 | 272 | 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 | 265 | 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 | 251 | 2017 |
| Human activity recognition using smartphones J Reyes-Ortiz, D Anguita, A Ghio, L Oneto, X Parra UCI Machine Learning Repository 4, 2, 2012 | 235 | 2012 |
| Fairness in machine learning L Oneto, S Chiappa Recent trends in learning from data: Tutorials from the inns big data and …, 2020 | 220 | 2020 |
| 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 | 212 | 2015 |
| Fair regression with wasserstein barycenters E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil Advances in Neural Information Processing Systems 33, 7321-7331, 2020 | 183 | 2020 |
| 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 | 164 | 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 | 151 | 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 | 147 | 2012 |
| Leveraging labeled and unlabeled data for consistent fair binary classification E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil Advances in Neural Information Processing Systems 32, 2019 | 138 | 2019 |
| 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 | 131 | 2016 |
Davide AnguitaDIBRIS - University of Genova, ItalyVerified email at unige.it
