| Learning in nonstationary environments: A survey G Ditzler, M Roveri, C Alippi, R Polikar IEEE Computational Intelligence Magazine 10 (4), 12-25, 2015 | 837 | 2015 |
| A robust, adaptive, solar-powered WSN framework for aquatic environmental monitoring C Alippi, R Camplani, C Galperti, M Roveri IEEE Sensors Journal 11 (1), 45-55, 2010 | 356 | 2010 |
| Energy management in wireless sensor networks with energy-hungry sensors C Alippi, G Anastasi, M Di Francesco, M Roveri IEEE Instrumentation & Measurement Magazine 12 (2), 16-23, 2009 | 308 | 2009 |
| An adaptive sampling algorithm for effective energy management in wireless sensor networks with energy-hungry sensors C Alippi, G Anastasi, M Di Francesco, M Roveri IEEE Transactions on Instrumentation and Measurement 59 (2), 335-344, 2009 | 234 | 2009 |
| Adaptive sampling for energy conservation in wireless sensor networks for snow monitoring applications C Alippi, G Anastasi, C Galperti, F Mancini, M Roveri 2007 IEEE International Conference on Mobile Adhoc and Sensor Systems, 1-6, 2007 | 186 | 2007 |
| Just-in-time classifiers for recurrent concepts C Alippi, G Boracchi, M Roveri IEEE transactions on neural networks and learning systems 24 (4), 620-634, 2013 | 181 | 2013 |
| Just-in-time adaptive classifiers—Part I: Detecting nonstationary changes C Alippi, M Roveri IEEE Transactions on Neural Networks 19 (7), 1145-1153, 2008 | 177 | 2008 |
| Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case C Alippi, S Disabato, M Roveri 2018 17th ACM/IEEE International Conference on Information Processing in …, 2018 | 159 | 2018 |
| What planner for ambient intelligence applications? F Amigoni, N Gatti, C Pinciroli, M Roveri IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2004 | 118 | 2004 |
| Just-in-time adaptive classifiers—Part II: Designing the classifier C Alippi, M Roveri IEEE Transactions on Neural Networks 19 (12), 2053-2064, 2008 | 107 | 2008 |
| Hierarchical change-detection tests C Alippi, G Boracchi, M Roveri IEEE transactions on neural networks and learning systems 28 (2), 246-258, 2016 | 98 | 2016 |
| A just-in-time adaptive classification system based on the intersection of confidence intervals rule C Alippi, G Boracchi, M Roveri Neural Networks 24 (8), 791-800, 2011 | 80 | 2011 |
| Model-free fault detection and isolation in large-scale cyber-physical systems C Alippi, S Ntalampiras, M Roveri IEEE Transactions on Emerging Topics in Computational Intelligence 1 (1), 61-71, 2016 | 67 | 2016 |
| RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization C Alippi, M Bocca, G Boracchi, N Patwari, M Roveri IEEE Transactions on Mobile Computing 15 (10), 2585-2598, 2015 | 67 | 2015 |
| A cognitive fault diagnosis system for distributed sensor networks C Alippi, S Ntalampiras, M Roveri IEEE transactions on neural networks and learning systems 24 (8), 1213-1226, 2013 | 62 | 2013 |
| An adaptive cusum-based test for signal change detection C Alippi, M Roveri 2006 IEEE international symposium on circuits and systems, 4 pp., 2006 | 61 | 2006 |
| A cloud to the ground: The new frontier of intelligent and autonomous networks of things C Alippi, R Fantacci, D Marabissi, M Roveri IEEE Communications Magazine 54 (12), 14-20, 2016 | 56 | 2016 |
| Just in time classifiers: Managing the slow drift case C Alippi, G Boracchi, M Roveri 2009 International Joint Conference on Neural Networks, 114-120, 2009 | 55 | 2009 |
| Change detection tests using the ICI rule C Alippi, G Boracchi, M Roveri The 2010 international joint conference on neural networks (IJCNN), 1-7, 2010 | 51 | 2010 |
| Incremental on-device tiny machine learning S Disabato, M Roveri Proceedings of the 2nd International workshop on challenges in artificial …, 2020 | 48 | 2020 |
