| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 897 | 2022 |
| Real-time analysis of physiological data to support medical applications D Apiletti, E Baralis, G Bruno, T Cerquitelli IEEE transactions on information technology in biomedicine 13 (3), 313-321, 2009 | 124 | 2009 |
| Frequent itemsets mining for big data: a comparative analysis D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, L Venturini Big data research 9, 67-83, 2017 | 80 | 2017 |
| Characterizing network traffic by means of the NetMine framework D Apiletti, E Baralis, T Cerquitelli, V D’Elia Computer Networks 53 (6), 774-789, 2009 | 59 | 2009 |
| Energy signature analysis: Knowledge at your fingertips A Acquaviva, D Apiletti, A Attanasio, E Baralis, L Bottaccioli, ... 2015 IEEE International Congress on Big Data, 543-550, 2015 | 42 | 2015 |
| istep, an integrated self-tuning engine for predictive maintenance in industry 4.0 D Apiletti, C Barberis, T Cerquitelli, A Macii, E Macii, M Poncino, F Ventura 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018 | 41 | 2018 |
| 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 | 38 | 2020 |
| Searum: A cloud-based service for association rule mining D Apiletti, E Baralis, T Cerquitelli, S Chiusano, L Grimaudo 2013 12th IEEE International Conference on Trust, Security and Privacy in …, 2013 | 36 | 2013 |
| SeLINA: A self-learning insightful network analyzer D Apiletti, E Baralis, T Cerquitelli, P Garza, D Giordano, M Mellia, ... IEEE Transactions on Network and Service Management 13 (3), 696-710, 2016 | 35 | 2016 |
| Energy-saving models for wireless sensor networks D Apiletti, E Baralis, T Cerquitelli Knowledge and Information Systems 28, 615-644, 2011 | 35 | 2011 |
| Data cleaning and semantic improvement in biological databases D Apiletti, G Bruno, E Ficarra, E Baralis Journal of Integrative Bioinformatics 3 (2), 219-229, 2006 | 34 | 2006 |
| A parallel mapreduce algorithm to efficiently support itemset mining on high dimensional data D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, P Michiardi Big Data Research 10, 53-69, 2017 | 32 | 2017 |
| 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 |
| Attention to fires: Multi-channel deep learning models for wildfire severity prediction S Monaco, S Greco, A Farasin, L Colomba, D Apiletti, P Garza, ... Applied Sciences 11 (22), 11060, 2021 | 26 | 2021 |
| Training physics-informed neural networks: One learning to rule them all? S Monaco, D Apiletti Results in Engineering 18, 101023, 2023 | 24 | 2023 |
| Correlating espresso quality with coffee-machine parameters by means of association rule mining D Apiletti, E Pastor Electronics 9 (1), 100, 2020 | 21 | 2020 |
| Metatech: Meteorological data analysis for thermal energy characterization by means of self-learning transparent models E Di Corso, T Cerquitelli, D Apiletti Energies 11 (6), 1336, 2018 | 21 | 2018 |
| Pampa-HD: A parallel MapReduce-based frequent pattern miner for high-dimensional data D Apiletti, E Baralis, T Cerquitelli, P Garza, P Michiardi, F Pulvirenti 2015 IEEE international conference on data mining workshop (ICDMW), 839-846, 2015 | 21 | 2015 |
| 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 | 20 | 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 | 19 | 2019 |
Tania CerquitelliFull Professor, Dept. of Control and Computer Engineering,Politecnico di TorinoZweryfikowany adres z polito.it
