Roberto Interdonato
Roberto Interdonato
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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
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
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
Community detection in multiplex networks
M Magnani, O Hanteer, R Interdonato, L Rossi, A Tagarelli
ACM Computing Surveys (CSUR) 54 (3), 1-35, 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
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
" 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
Multilayer network simplification: approaches, models and methods
R Interdonato, M Magnani, D Perna, A Tagarelli, D Vega
Computer Science Review 36, 100246, 2020
Lurking in social networks: topology-based analysis and ranking methods
A Tagarelli, R Interdonato
Social Network Analysis and Mining 4, 1-27, 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
Time-aware analysis and ranking of lurkers in social networks
A Tagarelli, R Interdonato
Social Network Analysis and Mining 5, 1-23, 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
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
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
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
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
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
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
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
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
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