| On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario S De Vito, E Massera, M Piga, L Martinotto, G Di Francia Sensors and Actuators B: Chemical 129 (2), 750-757, 2008 | 637 | 2008 |
| Assessment of air quality microsensors versus reference methods: The EuNetAir joint exercise C Borrego, AM Costa, J Ginja, M Amorim, M Coutinho, K Karatzas, ... Atmospheric Environment 147, 246-263, 2016 | 280 | 2016 |
| CO, NO2 and NOx urban pollution monitoring with on-field calibrated electronic nose by automatic bayesian regularization S De Vito, M Piga, L Martinotto, G Di Francia Sensors and Actuators B: Chemical 143 (1), 182-191, 2009 | 226 | 2009 |
| A Review of Low-Cost Particulate Matter Sensors from the Developers’ Perspectives B Alfano, L Barretta, A Del Giudice, S De Vito, G Di Francia, E Esposito, ... Sensors 20 (6819), 2020 | 180 | 2020 |
| Dynamic neural network architectures for on field stochastic calibration of indicative low cost air quality sensing systems E Esposito, S De Vito, M Salvato, V Bright, RL Jones, O Popoola Sensors and Actuators B: Chemical 231, 701-713, 2016 | 148 | 2016 |
| Semi-Supervised Learning Techniques in Artificial Olfaction: A Novel Approach to Classification Problems and Drift Counteraction S De Vito, G Fattoruso, M Pardo, F Tortorella, G Di Francia IEEE, 2012 | 123 | 2012 |
| Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise–Part II C Borrego, J Ginja, M Coutinho, C Ribeiro, K Karatzas, T Sioumis, ... Atmospheric Environment 193, 127-142, 2018 | 120 | 2018 |
| Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative machine learning approaches S De Vito, E Esposito, M Salvato, O Popoola, F Formisano, R Jones, ... Sensors and Actuators B: Chemical 255, 1191-1210, 2018 | 120 | 2018 |
| A state-of-art-review on machine-learning based methods for PV GM Tina, C Ventura, S Ferlito, S De Vito Applied Sciences 11 (16), 7550, 2021 | 106 | 2021 |
| On the Robustness of Field calibration for Smart air quality monitors S De Vito, E Esposito, N Castell, P Schneider, A Bartonova Sensors and Actuators, B Chemical 310 (127869), 2020 | 74 | 2020 |
| Predictive models for building's energy consumption: An Artificial Neural Network (ANN) approach S Ferlito, M Atrigna, G Graditi, S De Vito, M Salvato, A Buonanno, ... 2015 xviii aisem annual conference, 1-4, 2015 | 71 | 2015 |
| An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation E Martinelli, G Magna, S De Vito, R Di Fuccio, G Di Francia, A Vergara, ... Sensors and Actuators B: Chemical 177, 1017-1026, 2013 | 63 | 2013 |
| Gas concentration estimation in ternary mixtures with room temperature operating sensor array using tapped delay architectures S De Vito, A Castaldo, F Loffredo, E Massera, T Polichetti, I Nasti, P Vacca, ... Sensors and Actuators B: Chemical 124 (2), 309-316, 2007 | 63 | 2007 |
| Wireless sensor networks for distributed chemical sensing: Addressing power consumption limits with on-board intelligence S De Vito, P Di Palma, C Ambrosino, E Massera, G Burrasca, ML Miglietta, ... IEEE Sensors journal 11 (4), 947-955, 2010 | 61 | 2010 |
| Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices S De Vito, G Di Francia, E Esposito, S Ferlito, F Formisano, E Massera Pattern Recognition Letters 136, 264-271, 2020 | 50 | 2020 |
| Combining Real Time Classifiers for Fast and Reliable Electronic Nose Response Analysis for Aerospace NDTs M Salvato, S De Vito, E Massera, A Buonanno, M Miglietta, G Fattoruso, ... Procedia Engineering 87, 859-862, 2014 | 42 | 2014 |
| A maker friendly mobile and social sensing approach to urban air quality monitoring L Capezzuto, L Abbamonte, S De Vito, E Massera, F Formisano, ... IEEE Sensors Conference, 12-16, 2014 | 40 | 2014 |
| Crowdsensing IoT architecture for pervasive air quality and exposome monitoring: Design, development, calibration, and long-term validation S De Vito, E Esposito, E Massera, F Formisano, G Fattoruso, S Ferlito, ... Sensors 21 (15), 5219, 2021 | 34 | 2021 |
| An ontology framework for flooding forecasting A Agresta, G Fattoruso, M Pollino, F Pasanisi, C Tebano, S De Vito, ... Computational Science and Its Applications–ICCSA 2014: 14th International …, 2014 | 34 | 2014 |
| Cooperative 3D air quality assessment with wireless chemical sensing networks S De Vito, G Fattoruso, R Liguoro, A Oliviero, E Massera, C Sansone, ... Procedia Engineering 25, 84-87, 2011 | 33 | 2011 |
ettore masseraRicercatore di III livello ENEABestätigte E-Mail-Adresse bei enea.it