"Who's out there?": identifying and ranking lurkers in social networks. - Andrea Tagarelli; Roberto Interdonato (ASONAM, 2013)

Ranking Vicarious Learners in Research Collaboration Networks. - Andrea Tagarelli; Roberto Interdonato (ICADL, 2013)

A Versatile Graph-Based Approach to Package Recommendation. - Roberto Interdonato; Salvatore Romeo; Andrea Tagarelli; George Karypis (ICTAI, 2013)

Understanding lurking behaviors in social networks across time. - Andrea Tagarelli; Roberto Interdonato (ASONAM, 2014)

Online popularity and topical interests through the lens of instagram. - Emilio Ferrara; Roberto Interdonato; Andrea Tagarelli (HT, 2014)

The PackRec system for travel package recommendation. - Roberto Interdonato; Salvatore Romeo; Andrea Tagarelli (SEBD, 2014)

Lurking in social networks: topology-based analysis and ranking methods. - Andrea Tagarelli; Roberto Interdonato (Soc. Netw. Anal. Min., 2014)

"Got to have faith!": The DEvOTION algorithm for delurking in social networks. - Roberto Interdonato; Chiara Pulice; Andrea Tagarelli (ASONAM, 2015)

Time-aware analysis and ranking of lurkers in social networks. - Andrea Tagarelli; Roberto Interdonato (Soc. Netw. Anal. Min., 2015)

Multi-relational PageRank for tree structure sense ranking. - Roberto Interdonato; Andrea Tagarelli (World Wide Web, 2015)

Community-based delurking in social networks. - Roberto Interdonato; Chiara Pulice; Andrea Tagarelli (ASONAM, 2016)

Modeling Evolutionary Dynamics of Lurking in Social Networks. - Marco Alberto Javarone; Roberto Interdonato; Andrea Tagarelli (CompleNet, 2016)

To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems. - Roberto Interdonato; Andrea Tagarelli (NetSci-X, 2016)

Controversy in Trust Networks. - Paolo Zicari; Roberto Interdonato; Diego Perna; Andrea Tagarelli; Sergio Greco (TRUST, 2016)

An Influence Maximization based approach to the Engagement of Silent Users in Online Social Networks. - Roberto Interdonato; Chiara Pulice; Andrea Tagarelli (SEBD, 2017)

Personalized Recommendation of Points-of-Interest Based on Multilayer Local Community Detection. - Roberto Interdonato; Andrea Tagarelli (SocInfo (1), 2017)

Controversy-Aware Hybrid Trust Inference in Online Social Networks. - Paolo Zicari; Roberto Interdonato; Andrea Tagarelli; Sergio Greco (TrustCom/BigDataSE/ICESS, 2017)

Node-centric community detection in multilayer networks with layer-coverage diversification bias. - Roberto Interdonato; Andrea Tagarelli; Dino Ienco; Arnaud Sallaberry; Pascal Poncelet (CoRR, 2017)

Local community detection in multilayer networks. - Roberto Interdonato; Andrea Tagarelli; Dino Ienco; Arnaud Sallaberry; Pascal Poncelet (Data Min. Knowl. Discov., 2017)

Unsupervised Crisis Information Extraction from Twitter Data. - Roberto Interdonato; Antoine Doucet; Jean-Loup Guillaume (ASONAM, 2018)

International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome. - Martin Atzmueller; Sabrina Gaito; Roberto Interdonato; Rushed Kanawati; Christine Largeron; Matteo Magnani; Alessandra Sala (WWW (Companion Volume), 2018)

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. - Roberto Interdonato; Dino Ienco; Raffaele Gaetano; Kenji Ose (CoRR, 2018)

Learning to lurker rank: an evaluation of learning-to-rank methods for lurking behavior analysis. - Diego Perna; Roberto Interdonato; Andrea Tagarelli (Soc. Netw. Anal. Min., 2018)

Identifying Users With Alternate Behaviors of Lurking and Active Participation in Multilayer Social Networks. - Diego Perna; Roberto Interdonato; Andrea Tagarelli (IEEE Trans. Comput. Soc. Syst., 2018)

Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks. - Antonio Caliò; Roberto Interdonato; Chiara Pulice; Andrea Tagarelli (IEEE Trans. Knowl. Data Eng., 2018)

Mining Lurkers in Online Social Networks - Principles, Models, and Computational Methods - Andrea Tagarelli; Roberto Interdonato (Springer, 2018)

Characterizing Large Scale Land Acquisitions Through Network Analysis. - Roberto Interdonato; Jérémy Bourgoin; Quentin Grislain; Matteo Zignani; Sabrina Gaito; Markus Giger (COMPLEX NETWORKS (2), 2019)

Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification. - Dino Ienco; Raffaele Gaetano; Roberto Interdonato; Kenji Ose; Dinh Ho Tong Minh (IGARSS, 2019)

Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media. - Diego Alburez-Gutierrez; Eshwar Chandrasekharan; Rumi Chunara; Sofia Gil-Clavel; Aniko Hannak; Roberto Interdonato; Kenneth Joseph; Kyriaki Kalimeri; Momin M. Malik; Katja Mayer; Yelena Mejova; Daniela Paolotti; et al. (AI Mag., 2019)

Feature-rich networks: going beyond complex network topologies. - Roberto Interdonato; Martin Atzmueller; Sabrina Gaito; Rushed Kanawati; Christine Largeron; Alessandra Sala (Appl. Netw. Sci., 2019)

Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. - Dino Ienco; Roberto Interdonato; Raffaele Gaetano (CoRR, 2019)

Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. - Yawogan Jean Eudes Gbodjo; Dino Ienco; Louise Leroux; Roberto Interdonato; Raffaele Gaetano; Babacar Ndao; Stéphane Dupuy (CoRR, 2019)

Are you an influencer, or a lurker? why not both! understanding alternate, opposite behaviors in complex social network systems. - Diego Perna; Roberto Interdonato; Andrea Tagarelli (SIGWEB Newsl., 2019)

A lightweight and multilingual framework for crisis information extraction from Twitter data. - Roberto Interdonato; Jean-Loup Guillaume; Antoine Doucet (Soc. Netw. Anal. Min., 2019)

Supervised Level-Wise Pretraining for Sequential Data Classification. - Dino Ienco; Roberto Interdonato; Raffaele Gaetano (ICONIP (5), 2020)

Mining the miners: acknowledging the magnitude of mining deals through data science (extended abstract). - Jérémy Bourgoin; Quentin Grislain; Roberto Interdonato; Matteo Zignani; Sabrina Gaito (MARAMI, 2020)

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder. - Dino Ienco; Roberto Interdonato (PAKDD (1), 2020)

Linking Heterogeneous Data for Food Security Prediction. - Hugo Deléglise; Agnès Bégué; Roberto Interdonato; Elodie Maître d'Hôtel; Mathieu Roche; Maguelonne Teisseire (PKDD/ECML Workshops, 2020)

Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN. - Dino Ienco; Yawogan Jean Eudes Gbodjo; Raffaele Gaetano; Roberto Interdonato (IEEE Access, 2020)

Fine grained classification for multi-source land cover mapping. - Yawogan Jean Eudes Gbodjo; Dino Ienco; Louise Leroux; Roberto Interdonato; Raffaele Gaetano (CoRR, 2020)

Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation. - Dino Ienco; Yawogan Jean Eudes Gbodjo; Roberto Interdonato; Raffaele Gaetano (CoRR, 2020)

Multilayer network simplification: Approaches, models and methods. - Roberto Interdonato; Matteo Magnani; Diego Perna; Andrea Tagarelli; Davide Vega (Comput. Sci. Rev., 2020)

Extracting multilayer networks from Sentinel-2 satellite image time series. - Roberto Interdonato; Raffaele Gaetano; Danny Lo Seen; Mathieu Roche; Giuseppe Scarpa (Netw. Sci., 2020)

Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships. - Yawogan Jean Eudes Gbodjo; Dino Ienco; Louise Leroux; Roberto Interdonato; Raffaele Gaetano; Babacar Ndao (Remote. Sens., 2020)

Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases. - Dino Ienco; Roberto Interdonato (SEBD, 2021)

A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. - Ludovica Sacco; Dino Ienco; Roberto Interdonato (SEBD, 2021)

Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. - Alessandro Michele Censi; Dino Ienco; Yawogan Jean Eudes Gbodjo; Ruggero Gaetano Pensa; Roberto Interdonato; Raffaele Gaetano (IEEE Access, 2021)

Graph convolutional and attention models for entity classification in multilayer networks. - Lorenzo Zangari; Roberto Interdonato; Antonio Caliò; Andrea Tagarelli (Appl. Netw. Sci., 2021)

Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks. - Andrea Tagarelli; Sabrina Gaito; Roberto Interdonato; Tsuyoshi Murata; Alessandra Sala; My T. Thai (IEEE Trans. Netw. Sci. Eng., 2021)

Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond. - Dino Ienco; Roberto Interdonato (EGC, 2022)

Explaining food security warning signals with YouTube transcriptions and local news articles. - Cheick Tidiane Ba; Chloé Choquet; Roberto Interdonato; Mathieu Roche (GoodIT, 2022)

Mining News Articles Dealing with Food Security. - Hugo Deléglise; Agnès Bégué; Roberto Interdonato; Elodie Maître d'Hôtel; Mathieu Roche; Maguelonne Teisseire (ISMIS, 2022)

Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification. - Edmond Odhiambo Menya; Mathieu Roche; Roberto Interdonato; Dickson Owuor (LREC, 2022)

Community Detection in Multiplex Networks. - Matteo Magnani; Obaida Hanteer; Roberto Interdonato; Luca Rossi 003; Andrea Tagarelli (ACM Comput. Surv., 2022)

Food security prediction from heterogeneous data combining machine and deep learning methods. - Hugo Deléglise; Roberto Interdonato; Agnès Bégué; Elodie Maître d'Hôtel; Maguelonne Teisseire; Mathieu Roche (Expert Syst. Appl., 2022)

Sentinel-2 Satellite Image Time-Series Land Cover Classification with Bernstein Copula Approach. - Cristiano Tamborrino; Roberto Interdonato; Maguelonne Teisseire (Remote. Sens., 2022)

Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds. - Cheick Tidiane Ba; Roberto Interdonato; Dino Ienco; Sabrina Gaito (EGC, 2023)

Extension et adaptation des modèles de langues pour la classification de corpus en santé animale. - Edmond Odhiambo Menya; Mathieu Roche; Roberto Interdonato; Dickson Owuor (EGC, 2023)

An Evaluation Framework for Comparing Epidemic Intelligence Systems. - Nejat Arinik; Roberto Interdonato; Mathieu Roche; Maguelonne Teisseire (IEEE Access, 2023)

Deep semi-supervised clustering for multi-variate time-series. - Dino Ienco; Roberto Interdonato (Neurocomputing, 2023)

How Well Do EO-Based Food Security Warning Systems for Food Security Agree? Comparison of NDVI-Based Vegetation Anomaly Maps in West Africa. - Agnès Bégué; Simon Madec; Louise Lemettais; Louise Leroux; Roberto Interdonato; Inbal Becker-Reshef; Brian Barker; Christina Justice; Hervé Kerdiles; Michele Meroni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Evaluation of Geographical Distortions in Language Models. - Rémy Decoupes; Roberto Interdonato; Mathieu Roche; Maguelonne Teisseire; Sarah Valentin (DS (1), 2024)

Integrating textual data for enhanced explanation of food crises at subnational scale. - Sarah Valentin; Edmond Odhiambo Menya; Roberto Interdonato; Mathieu Roche; Dickson Owuor (DS (LB), 2024)

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Aayush Dhakal; Nathan Jacobs; Tristan Berchoux (IGARSS, 2024)

Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin. - Bruno Bio Nikki Sarè; Raffaele Gaetano; Roberto Interdonato; Yvon Carmen Hountondji; Dino Ienco; Cássio Fraga Dantas (IGARSS, 2024)

Integrating Predictive Process Monitoring Techniques in Smart Agriculture. - Simona Fioretto; Dino Ienco; Roberto Interdonato; Elio Masciari (ISMIS, 2024)

EpidGPT: A Combined Strategy to Discriminate Between Redundant and New Information for Epidemiological Surveillance Systems. - Edmond Odhiambo Menya; Mathieu Roche; Roberto Interdonato; Dickson Owuor (NLDB (1), 2024)

Evaluation of Geographical Distortions in Language Models: A Crucial Step Towards Equitable Representations. - Rémy Decoupes; Roberto Interdonato; Mathieu Roche; Maguelonne Teisseire; Sarah Valentin (CoRR, 2024)

Agro-STAY : Collecte de données et analyse des informations en agriculture alternative issues de YouTube. - Laura Maxim; Julien Rabatel; Jean-Marc Douguet; Natalia Grabar; Roberto Interdonato; Sébastien Loustau; Mathieu Roche; Maguelonne Teisseire (CoRR, 2024)

Adaptations of AI models for querying the LandMatrix database in natural language. - Fatiha Ait Kbir; Jérémy Bourgoin; Rémy Decoupes; Marie Gradeler; Roberto Interdonato (CoRR, 2024)

Explainable epidemiological thematic features for event based disease surveillance. - Edmond Odhiambo Menya; Roberto Interdonato; Dickson Owuor; Mathieu Roche (Expert Syst. Appl., 2024)

A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. - Dino Ienco; Raffaele Gaetano; Roberto Interdonato (Neurocomputing, 2024)

How can text mining improve the explainability of Food security situations? - Hugo Deléglise; Agnès Bégué; Roberto Interdonato; Elodie Maître d'Hôtel; Mathieu Roche; Maguelonne Teisseire (J. Intell. Inf. Syst., 2024)

DyHANE: dynamic heterogeneous attributed network embedding through experience node replay. - Liliana Martirano; Dino Ienco; Roberto Interdonato; Andrea Tagarelli (Appl. Netw. Sci., 2024)

Adaptations des modèles IA pour interroger en langage naturel la base de données LandMatrix. - Fatiha Ait Kbir; Jérémy Bourgoin; Rémy Decoupes; Marie Gradeler; Roberto Interdonato (EGC, 2025)

Transfer Land Cover Maps Across Years: A Time Series-based Semantic Segmentation Approach. - Christopher Jabea; Roberto Interdonato; Cássio F. Dantas; Dino Ienco; Flavie Cernesson; Eric Barbe; Nadia Guiffant; Christiane Weber (JURSE, 2025)

SenCLIP: Enhancing Zero-Shot Land-Use Mapping for Sentinel-2 with Ground-Level Prompting. - Pallavi Jain 004; Dino Ienco; Roberto Interdonato; Tristan Berchoux; Diego Marcos (WACV, 2025)

Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation. - Francisco Alejandro Mena; Dino Ienco; Cássio F. Dantas; Roberto Interdonato; Andreas Dengel 001 (IEEE Access, 2025)

MARA: A deep learning based framework for multilayer graph simplification. - Cheick Tidiane Ba; Roberto Interdonato; Dino Ienco; Sabrina Gaito (Neurocomputing, 2025)

Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars. - Hugo Riffaud de Turckheim; Sylvain Lobry; Roberto Interdonato; Diego Marcos (CoRR, 2025)