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Roberto Interdonato
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2020 – today
- 2025
- [j29]Cheick Tidiane Ba, Roberto Interdonato, Dino Ienco, Sabrina Gaito:
MARA: A deep learning based framework for multilayer graph simplification. Neurocomputing 612: 128712 (2025) - 2024
- [j28]Liliana Martirano, Dino Ienco, Roberto Interdonato, Andrea Tagarelli:
DyHANE: dynamic heterogeneous attributed network embedding through experience node replay. Appl. Netw. Sci. 9(1): 30 (2024) - [j27]Edmond Odhiambo Menya, Roberto Interdonato
, Dickson Owuor
Explainable epidemiological thematic features for event based disease surveillance. Expert Syst. Appl. 250: 123894 (2024) - [j26]Dino Ienco
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Neurocomputing 567: 127031 (2024) - [j25]Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d'Hôtel, Mathieu Roche, Maguelonne Teisseire:
How can text mining improve the explainability of Food security situations? J. Intell. Inf. Syst. 62(4): 971-994 (2024) - [c36]Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux:
Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS 2024: 319-323 - [c35]Bruno Bio Nikki Sarè, Raffaele Gaetano, Roberto Interdonato, Yvon Carmen Hountondji, Dino Ienco, Cássio Fraga Dantas:
Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin. IGARSS 2024: 4824-4827 - [c34]Simona Fioretto
Integrating Predictive Process Monitoring Techniques in Smart Agriculture. ISMIS 2024: 306-313 - [c33]Edmond Odhiambo Menya, Mathieu Roche
EpidGPT: A Combined Strategy to Discriminate Between Redundant and New Information for Epidemiological Surveillance Systems. NLDB (1) 2024: 439-454 - [i16]Rémy Découpes, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire, Sarah Valentin:
Evaluation of Geographical Distortions in Language Models: A Crucial Step Towards Equitable Representations. CoRR abs/2404.17401 (2024) - 2023
- [j24]Nejat Arinik
An Evaluation Framework for Comparing Epidemic Intelligence Systems. IEEE Access 11: 31880-31901 (2023) - [j23]Dino Ienco
Deep semi-supervised clustering for multi-variate time-series. Neurocomputing 516: 36-47 (2023) - [j22]Agnès Bégué
How Well Do EO-Based Food Security Warning Systems for Food Security Agree? Comparison of NDVI-Based Vegetation Anomaly Maps in West Africa. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1641-1653 (2023) - [c32]Cheick Tidiane Ba, Roberto Interdonato, Dino Ienco, Sabrina Gaito:
Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds. EGC 2023: 377-384 - [c31]Edmond Odhiambo Menya, Mathieu Roche, Roberto Interdonato, Dickson Owuor:
Extension et adaptation des modèles de langues pour la classification de corpus en santé animale. EGC 2023: 531-538 - [e5]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Grenoble, France, September 18-22, 2022. CEUR Workshop Proceedings 3343, CEUR-WS.org 2023 [contents] - [i15]Nejat Arinik, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire:
An evaluation framework for comparing epidemic intelligence systems. CoRR abs/2303.17431 (2023) - 2022
- [j21]Matteo Magnani, Obaida Hanteer, Roberto Interdonato, Luca Rossi, Andrea Tagarelli:
Community Detection in Multiplex Networks. ACM Comput. Surv. 54(3): 48:1-48:35 (2022) - [j20]Hugo Deléglise
Food security prediction from heterogeneous data combining machine and deep learning methods. Expert Syst. Appl. 190: 116189 (2022) - [j19]Cristiano Tamborrino
Sentinel-2 Satellite Image Time-Series Land Cover Classification with Bernstein Copula Approach. Remote. Sens. 14(13): 3080 (2022) - [c30]Dino Ienco, Roberto Interdonato:
Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond. EGC 2022: 225-232 - [c29]Cheick Tidiane Ba
Explaining food security warning signals with YouTube transcriptions and local news articles. GoodIT 2022: 315-322 - [c28]Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d'Hôtel, Mathieu Roche, Maguelonne Teisseire:
Mining News Articles Dealing with Food Security. ISMIS 2022: 63-73 - [c27]Edmond Odhiambo Menya, Mathieu Roche, Roberto Interdonato, Dickson Owuor:
Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification. LREC 2022: 3741-3750 - [e4]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021. CEUR Workshop Proceedings 3088, CEUR-WS.org 2022 [contents] - 2021
- [j18]Alessandro Michele Censi, Dino Ienco
Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. IEEE Access 9: 23070-23082 (2021) - [j17]Lorenzo Zangari, Roberto Interdonato, Antonio Caliò, Andrea Tagarelli
Graph convolutional and attention models for entity classification in multilayer networks. Appl. Netw. Sci. 6(1): 87 (2021) - [j16]Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai:
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1256-1258 (2021) - [c26]Ludovica Sacco, Dino Ienco, Roberto Interdonato:
A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. SEBD 2021: 83-93 - [c25]Dino Ienco, Roberto Interdonato:
Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases. SEBD 2021: iv - 2020
- [j15]Dino Ienco
Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN. IEEE Access 8: 179547-179560 (2020) - [j14]Roberto Interdonato, Matteo Magnani, Diego Perna, Andrea Tagarelli, Davide Vega
Multilayer network simplification: Approaches, models and methods. Comput. Sci. Rev. 36: 100246 (2020) - [j13]Roberto Interdonato
Extracting multilayer networks from Sentinel-2 satellite image time series. Netw. Sci. 8(S1): S26-S42 (2020) - [j12]Yawogan Jean Eudes Gbodjo
Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships. Remote. Sens. 12(17): 2814 (2020) - [c24]Dino Ienco
Supervised Level-Wise Pretraining for Sequential Data Classification. ICONIP (5) 2020: 449-457 - [c23]Jérémy Bourgoin, Quentin Grislain, Roberto Interdonato, Matteo Zignani, Sabrina Gaito:
Mining the miners: acknowledging the magnitude of mining deals through data science (extended abstract). MARAMI 2020 - [c22]Dino Ienco
Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder. PAKDD (1) 2020: 318-329 - [c21]Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d'Hôtel, Mathieu Roche, Maguelonne Teisseire
Linking Heterogeneous Data for Food Security Prediction. PKDD/ECML Workshops 2020: 335-344 - [e3]Roberto Interdonato:
Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques - The 11th Conference on Network Modeling and Analysis, Virtual Conference, October 14-15, 2020. CEUR Workshop Proceedings 2750, CEUR-WS.org 2020 [contents] - [e2]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020. CEUR Workshop Proceedings 2766, CEUR-WS.org 2020 [contents] - [i14]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano:
Fine grained classification for multi-source land cover mapping. CoRR abs/2004.01963 (2020) - [i13]Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato, Raffaele Gaetano:
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation. CoRR abs/2004.14672 (2020) - [i12]Roberto Interdonato, Matteo Magnani, Diego Perna, Andrea Tagarelli, Davide Vega:
Multilayer network simplification: approaches, models and methods. CoRR abs/2004.14808 (2020)
2010 – 2019
- 2019
- [j11]Diego Alburez-Gutierrez, Eshwar Chandrasekharan, Rumi Chunara, Sofia Gil-Clavel, Aniko Hannak, Roberto Interdonato, Kenneth Joseph, Kyriaki Kalimeri, Momin M. Malik, Katja Mayer
Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media. AI Mag. 40(4): 78-82 (2019) - [j10]Roberto Interdonato
Feature-rich networks: going beyond complex network topologies. Appl. Netw. Sci. 4(1): 4:1-4:13 (2019) - [j9]Diego Perna, Roberto Interdonato, Andrea Tagarelli:
Are you an influencer, or a lurker? why not both! understanding alternate, opposite behaviors in complex social network systems. SIGWEB Newsl. 2019(Spring): 3:1-3:8 (2019) - [j8]Roberto Interdonato
A lightweight and multilingual framework for crisis information extraction from Twitter data. Soc. Netw. Anal. Min. 9(1): 65:1-65:20 (2019) - [c20]Roberto Interdonato, Jérémy Bourgoin, Quentin Grislain, Matteo Zignani, Sabrina Gaito, Markus Giger:
Characterizing Large Scale Land Acquisitions Through Network Analysis. COMPLEX NETWORKS (2) 2019: 152-163 - [c19]Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification. IGARSS 2019: 4881-4884 - [e1]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), Würzburg, Germany, September 20, 2019. CEUR Workshop Proceedings 2466, CEUR-WS.org 2019 [contents] - [i11]Obaida Hanteer, Roberto Interdonato, Matteo Magnani, Andrea Tagarelli, Luca Rossi:
Community Detection in Multiplex Networks. CoRR abs/1910.07646 (2019) - [i10]Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. CoRR abs/1911.01071 (2019) - [i9]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao, Stéphane Dupuy:
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. CoRR abs/1911.08815 (2019) - 2018
- [b1]Andrea Tagarelli, Roberto Interdonato:
Mining Lurkers in Online Social Networks - Principles, Models, and Computational Methods. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-030-00228-2, pp. 1-93 - [j7]Diego Perna, Roberto Interdonato, Andrea Tagarelli
Learning to lurker rank: an evaluation of learning-to-rank methods for lurking behavior analysis. Soc. Netw. Anal. Min. 8(1): 39:1-39:21 (2018) - [j6]Diego Perna
Identifying Users With Alternate Behaviors of Lurking and Active Participation in Multilayer Social Networks. IEEE Trans. Comput. Soc. Syst. 5(1): 46-63 (2018) - [j5]Antonio Caliò
Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks. IEEE Trans. Knowl. Data Eng. 30(12): 2421-2434 (2018) - [c18]Roberto Interdonato, Antoine Doucet
Unsupervised Crisis Information Extraction from Twitter Data. ASONAM 2018: 579-580 - [c17]Martin Atzmueller, Sabrina Gaito, Roberto Interdonato, Rushed Kanawati, Christine Largeron, Matteo Magnani, Alessandra Sala:
International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome. WWW (Companion Volume) 2018: 1231-1233 - [i8]Antonio Caliò, Roberto Interdonato, Chiara Pulice, Andrea Tagarelli:
Topology-driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks. CoRR abs/1804.07719 (2018) - [i7]Roberto Interdonato, Dino Ienco
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. CoRR abs/1809.07589 (2018) - [i6]Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose, Dinh Ho Tong Minh:
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification. CoRR abs/1812.05530 (2018) - 2017
- [j4]Roberto Interdonato, Andrea Tagarelli
Local community detection in multilayer networks. Data Min. Knowl. Discov. 31(5): 1444-1479 (2017) - [c16]Roberto Interdonato, Chiara Pulice, Andrea Tagarelli:
An Influence Maximization based approach to the Engagement of Silent Users in Online Social Networks. SEBD 2017: 210 - [c15]Roberto Interdonato, Andrea Tagarelli:
Personalized Recommendation of Points-of-Interest Based on Multilayer Local Community Detection. SocInfo (1) 2017: 552-571 - [c14]Paolo Zicari
Controversy-Aware Hybrid Trust Inference in Online Social Networks. TrustCom/BigDataSE/ICESS 2017: 610-617 - [i5]Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry
Node-centric community detection in multilayer networks with layer-coverage diversification bias. CoRR abs/1704.03441 (2017) - 2016
- [c13]Roberto Interdonato
Community-based delurking in social networks. ASONAM 2016: 263-270 - [c12]Roberto Interdonato
Local community detection in multilayer networks. ASONAM 2016: 1382-1383 - [c11]Marco Alberto Javarone, Roberto Interdonato
Modeling Evolutionary Dynamics of Lurking in Social Networks. CompleNet 2016: 227-239 - [c10]Roberto Interdonato
To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems. NetSci-X 2016: 43-56 - [c9]Paolo Zicari
Controversy in Trust Networks. TRUST 2016: 82-100 - [i4]Marco Alberto Javarone, Roberto Interdonato, Andrea Tagarelli:
Modeling Evolutionary Dynamics of Lurking in Social Networks. CoRR abs/1605.06368 (2016) - 2015
- [j3]Andrea Tagarelli
Time-aware analysis and ranking of lurkers in social networks. Soc. Netw. Anal. Min. 5(1): 46:1-46:23 (2015) - [j2]Roberto Interdonato
Multi-relational PageRank for tree structure sense ranking. World Wide Web 18(5): 1301-1329 (2015) - [c8]Roberto Interdonato
"Got to have faith!": The DEvOTION algorithm for delurking in social networks. ASONAM 2015: 314-319 - [i3]Andrea Tagarelli, Roberto Interdonato:
Time-aware Analysis and Ranking of Lurkers in Social Networks. CoRR abs/1509.02030 (2015) - 2014
- [j1]Andrea Tagarelli
Lurking in social networks: topology-based analysis and ranking methods. Soc. Netw. Anal. Min. 4(1): 230 (2014) - [c7]Andrea Tagarelli
Understanding lurking behaviors in social networks across time. ASONAM 2014: 51-55 - [c6]Emilio Ferrara
Online popularity and topical interests through the lens of instagram. HT 2014: 24-34 - [c5]Roberto Interdonato, Salvatore Romeo, Andrea Tagarelli:
The PackRec system for travel package recommendation. SEBD 2014: 327-334 - [i2]Emilio Ferrara, Roberto Interdonato, Andrea Tagarelli:
Online Popularity and Topical Interests through the Lens of Instagram. CoRR abs/1406.7751 (2014) - [i1]Andrea Tagarelli, Roberto Interdonato:
Lurking in Social Networks: Topology-based Analysis and Ranking Methods. CoRR abs/1409.4695 (2014) - 2013
- [c4]Andrea Tagarelli
"Who's out there?": identifying and ranking lurkers in social networks. ASONAM 2013: 215-222 - [c3]Andrea Tagarelli
Ranking Vicarious Learners in Research Collaboration Networks. ICADL 2013: 93-102 - [c2]Roberto Interdonato
A Versatile Graph-Based Approach to Package Recommendation. ICTAI 2013: 857-864 - [c1]Roberto Interdonato
Multi-relational PageRank for Tree Structure Sense Ranking. WISE (1) 2013: 306-319
Coauthor Index
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