| Learning in nonstationary environments: A survey G Ditzler, M Roveri, C Alippi, R Polikar IEEE Computational intelligence magazine 10 (4), 12-25, 2015 | 1031 | 2015 |
| Credit card fraud detection: a realistic modeling and a novel learning strategy A Dal Pozzolo, G Boracchi, O Caelen, C Alippi, G Bontempi IEEE transactions on neural networks and learning systems 29 (8), 3784-3797, 2017 | 891 | 2017 |
| Graph neural networks with convolutional arma filters FM Bianchi, D Grattarola, L Livi, C Alippi IEEE transactions on pattern analysis and machine intelligence 44 (7), 3496-3507, 2021 | 695 | 2021 |
| Spectral clustering with graph neural networks for graph pooling FM Bianchi, D Grattarola, C Alippi International conference on machine learning, 874-883, 2020 | 664 | 2020 |
| An adaptive system for optimal solar energy harvesting in wireless sensor network nodes C Alippi, C Galperti IEEE Transactions on Circuits and Systems I: Regular Papers 55 (6), 1742-1750, 2008 | 609 | 2008 |
| A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection M Jin, HY Koh, Q Wen, D Zambon, C Alippi, GI Webb, I King, S Pan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 539 | 2024 |
| Genetic-algorithm programming environments JL Ribeiro Filho, PC Treleaven, C Alippi Computer 27 (6), 28-43, 1994 | 391 | 1994 |
| 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 | 380 | 2010 |
| Graph neural networks in tensorflow and keras with spektral [application notes] D Grattarola, C Alippi IEEE Computational Intelligence Magazine 16 (1), 99-106, 2021 | 374 | 2021 |
| Deep learning for time series forecasting: The electric load case A Gasparin, S Lukovic, C Alippi CAAI Transactions on Intelligence Technology 7 (1), 1-25, 2022 | 364 | 2022 |
| 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 | 321 | 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 | 263 | 2009 |
| A RSSI-based and calibrated centralized localization technique for wireless sensor networks C Alippi, G Vanini Fourth Annual IEEE International Conference on Pervasive Computing and …, 2006 | 258 | 2006 |
| Filling the g_ap_s: Multivariate time series imputation by graph neural networks A Cini, I Marisca, C Alippi arXiv preprint arXiv:2108.00298, 2021 | 250 | 2021 |
| Just-in-time adaptive classifiers—Part I: Detecting nonstationary changes C Alippi, M Roveri IEEE Transactions on Neural Networks 19 (7), 1145-1153, 2008 | 210 | 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 | 209 | 2018 |
| Explainable intelligent fault diagnosis for nonlinear dynamic systems: From unsupervised to supervised learning H Chen, Z Liu, C Alippi, B Huang, D Liu IEEE Transactions on Neural Networks and Learning Systems 35 (5), 6166-6179, 2022 | 207 | 2022 |
| Understanding pooling in graph neural networks D Grattarola, D Zambon, FM Bianchi, C Alippi IEEE transactions on neural networks and learning systems 35 (2), 2708-2718, 2022 | 205 | 2022 |
| 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 | 199 | 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 | 191 | 2013 |
Manuel RoveriPolitecnico di Milano, ItalyVerified email at elet.polimi.it
