| A cloud-to-edge approach to support predictive analytics in robotics industry S Panicucci, N Nikolakis, T Cerquitelli, F Ventura, S Proto, E Macii, ... Electronics 9 (3), 492, 2020 | 50 | 2020 |
| REDTag: a predictive maintenance framework for parcel delivery services S Proto, E Di Corso, D Apiletti, L Cagliero, T Cerquitelli, G Malnati, ... IEEE Access 8, 14953-14964, 2020 | 40 | 2020 |
| PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes S Proto, F Ventura, D Apiletti, T Cerquitelli, E Baralis, E Macii, A Macii 2019 IEEE international congress on big data (bigDataCongress), 139-143, 2019 | 28 | 2019 |
| Towards a real-time unsupervised estimation of predictive model degradation T Cerquitelli, S Proto, F Ventura, D Apiletti, E Baralis Proceedings of real-time business intelligence and analytics, 1-6, 2019 | 21 | 2019 |
| A new unsupervised predictive-model self-assessment approach that SCALEs F Ventura, S Proto, D Apiletti, T Cerquitelli, S Panicucci, E Baralis, E Macii, ... 2019 IEEE International Congress on Big Data (BigDataCongress), 144-148, 2019 | 20 | 2019 |
| Exploring energy performance certificates through visualization. T Cerquitelli, E Di Corso, S Proto, A Capozzoli, F Bellotti, MG Cassese, ... EDBT/ICDT Workshops, 2019 | 15 | 2019 |
| Useful ToPIC: Self-tuning strategies to enhance latent Dirichlet allocation S Proto, E Di Corso, F Ventura, T Cerquitelli 2018 IEEE International Congress on Big Data (BigData Congress), 33-40, 2018 | 14 | 2018 |
| A data-driven energy platform: from energy performance certificates to human-readable knowledge through dynamic high-resolution geospatial maps T Cerquitelli, E Di Corso, S Proto, P Bethaz, D Mazzarelli, A Capozzoli, ... Electronics 9 (12), 2132, 2020 | 10 | 2020 |
| Automating concept-drift detection by self-evaluating predictive model degradation T Cerquitelli, S Proto, F Ventura, D Apiletti, E Baralis arXiv preprint arXiv:1907.08120, 2019 | 9 | 2019 |
| Towards automated visualisation of scientific literature E Di Corso, S Proto, T Cerquitelli, S Chiusano New Trends in Databases and Information Systems: ADBIS 2019 Short Papers …, 2019 | 9 | 2019 |
| Simplifying text mining activities: scalable and self-tuning methodology for topic detection and characterization E Di Corso, S Proto, B Vacchetti, P Bethaz, T Cerquitelli Applied Sciences 12 (10), 5125, 2022 | 6 | 2022 |
| Visualising high-resolution energy maps through the exploratory analysis of energy performance certificates T Cerquitelli, E Di Corso, S Proto, A Capozzoli, D Mazzarelli, A Nasso, ... 2019 International Conference on Smart Energy Systems and Technologies (SEST …, 2019 | 2 | 2019 |
| Enhancing topic modeling through Latent Dirichlet Allocation with self-tuning strategies S Proto Politecnico di Torino, 2018 | | 2018 |
Francesco VenturaPhD, Politecnico di TorinoVerified email at polito.it
