Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture D Ienco, R Interdonato, R Gaetano, DHT Minh ISPRS Journal of Photogrammetry and Remote Sensing 158, 11-22, 2019 | 293 | 2019 |
Online popularity and topical interests through the lens of instagram E Ferrara, R Interdonato, A Tagarelli Proceedings of the 25th ACM conference on Hypertext and social media, 24-34, 2014 | 245 | 2014 |
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn R Interdonato, D Ienco, R Gaetano, K Ose ISPRS journal of photogrammetry and remote sensing 149, 91-104, 2019 | 168 | 2019 |
Community detection in multiplex networks M Magnani, O Hanteer, R Interdonato, L Rossi, A Tagarelli ACM Computing Surveys (CSUR) 54 (3), 1-35, 2021 | 99 | 2021 |
Feature-rich networks: going beyond complex network topologies R Interdonato, M Atzmueller, S Gaito, R Kanawati, C Largeron, A Sala Applied Network Science 4 (1), 4, 2019 | 87 | 2019 |
Local community detection in multilayer networks R Interdonato, A Tagarelli, D Ienco, A Sallaberry, P Poncelet Data Mining and Knowledge Discovery 31, 1444-1479, 2017 | 72 | 2017 |
Multilayer network simplification: approaches, models and methods R Interdonato, M Magnani, D Perna, A Tagarelli, D Vega Computer Science Review 36, 100246, 2020 | 65 | 2020 |
" Who's out there?" identifying and ranking lurkers in social networks A Tagarelli, R Interdonato Proceedings of the 2013 IEEE/ACM international conference on advances in …, 2013 | 59 | 2013 |
Lurking in social networks: topology-based analysis and ranking methods A Tagarelli, R Interdonato Social Network Analysis and Mining 4, 1-27, 2014 | 53 | 2014 |
Deep multivariate time series embedding clustering via attentive-gated autoencoder D Ienco, R Interdonato Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 50 | 2020 |
Time-aware analysis and ranking of lurkers in social networks A Tagarelli, R Interdonato Social Network Analysis and Mining 5, 1-23, 2015 | 48 | 2015 |
Food security prediction from heterogeneous data combining machine and deep learning methods H Deléglise, R Interdonato, A Bégué, EM d’Hôtel, M Teisseire, M Roche Expert Systems with Applications 190, 116189, 2022 | 44 | 2022 |
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships YJE Gbodjo, D Ienco, L Leroux, R Interdonato, R Gaetano, B Ndao Remote Sensing 12 (17), 2814, 2020 | 40 | 2020 |
Topology-driven diversity for targeted influence maximization with application to user engagement in social networks A Caliò, R Interdonato, C Pulice, A Tagarelli IEEE Transactions on Knowledge and Data Engineering 30 (12), 2421-2434, 2018 | 37 | 2018 |
Weakly supervised learning for land cover mapping of satellite image time series via attention-based CNN D Ienco, YJE Gbodjo, R Gaetano, R Interdonato IEEE Access 8, 179547-179560, 2020 | 34 | 2020 |
A versatile graph-based approach to package recommendation R Interdonato, S Romeo, A Tagarelli, G Karypis 2013 IEEE 25th International Conference on Tools with Artificial …, 2013 | 28 | 2013 |
Combining sentinel-1 and sentinel-2 time series via rnn for object-based land cover classification D Ienco, R Gaetano, R Interdonato, K Ose, DHT Minh IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 26 | 2019 |
Attentive spatial temporal graph CNN for land cover mapping from multi temporal remote sensing data AM Censi, D Ienco, YJE Gbodjo, RG Pensa, R Interdonato, R Gaetano IEEE Access 9, 23070-23082, 2021 | 25 | 2021 |
Identifying users with alternate behaviors of lurking and active participation in multilayer social networks D Perna, R Interdonato, A Tagarelli IEEE Transactions on Computational Social Systems 5 (1), 46-63, 2017 | 24 | 2017 |
A lightweight and multilingual framework for crisis information extraction from Twitter data R Interdonato, JL Guillaume, A Doucet Social Network Analysis and Mining 9 (1), 65, 2019 | 23 | 2019 |