Roberto Interdonato

Orcid: 0000-0002-0536-6277

According to our database1, Roberto Interdonato authored at least 71 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
MARA: A deep learning based framework for multilayer graph simplification.
Neurocomputing, 2025

2024
DyHANE: dynamic heterogeneous attributed network embedding through experience node replay.
Appl. Netw. Sci., December, 2024

How can text mining improve the explainability of Food security situations?
J. Intell. Inf. Syst., August, 2024

A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels.
Neurocomputing, January, 2024

Explainable epidemiological thematic features for event based disease surveillance.
Expert Syst. Appl., 2024

Evaluation of Geographical Distortions in Language Models: A Crucial Step Towards Equitable Representations.
CoRR, 2024

EpidGPT: A Combined Strategy to Discriminate Between Redundant and New Information for Epidemiological Surveillance Systems.
Proceedings of the Natural Language Processing and Information Systems, 2024

Integrating Predictive Process Monitoring Techniques in Smart Agriculture.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024

Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin.
Proceedings of the IGARSS 2024, 2024

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification.
Proceedings of the IGARSS 2024, 2024

2023
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., 2023

Deep semi-supervised clustering for multi-variate time-series.
Neurocomputing, 2023

An Evaluation Framework for Comparing Epidemic Intelligence Systems.
IEEE Access, 2023

Extension et adaptation des modèles de langues pour la classification de corpus en santé animale.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds.
Proceedings of the Extraction et Gestion des Connaissances, 2023

2022
Sentinel-2 Satellite Image Time-Series Land Cover Classification with Bernstein Copula Approach.
Remote. Sens., 2022

Food security prediction from heterogeneous data combining machine and deep learning methods.
Expert Syst. Appl., 2022

Community Detection in Multiplex Networks.
ACM Comput. Surv., 2022

Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Mining News Articles Dealing with Food Security.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Explaining food security warning signals with YouTube transcriptions and local news articles.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Graph convolutional and attention models for entity classification in multilayer networks.
Appl. Netw. Sci., 2021

Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data.
IEEE Access, 2021

A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

2020
Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships.
Remote. Sens., 2020

Extracting multilayer networks from Sentinel-2 satellite image time series.
Netw. Sci., 2020

Multilayer network simplification: Approaches, models and methods.
Comput. Sci. Rev., 2020

Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation.
CoRR, 2020

Fine grained classification for multi-source land cover mapping.
CoRR, 2020

Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN.
IEEE Access, 2020

Linking Heterogeneous Data for Food Security Prediction.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Mining the miners: acknowledging the magnitude of mining deals through data science (extended abstract).
Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques, 2020

Supervised Level-Wise Pretraining for Sequential Data Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
A lightweight and multilingual framework for crisis information extraction from Twitter data.
Soc. Netw. Anal. Min., 2019

Are you an influencer, or a lurker? why not both! understanding alternate, opposite behaviors in complex social network systems.
SIGWEB Newsl., 2019

Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships.
CoRR, 2019

Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification.
CoRR, 2019

Feature-rich networks: going beyond complex network topologies.
Appl. Netw. Sci., 2019

Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media.
AI Mag., 2019

Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Characterizing Large Scale Land Acquisitions Through Network Analysis.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Mining Lurkers in Online Social Networks - Principles, Models, and Computational Methods
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-00228-2, 2018

Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks.
IEEE Trans. Knowl. Data Eng., 2018

Identifying Users With Alternate Behaviors of Lurking and Active Participation in Multilayer Social Networks.
IEEE Trans. Comput. Soc. Syst., 2018

Learning to lurker rank: an evaluation of learning-to-rank methods for lurking behavior analysis.
Soc. Netw. Anal. Min., 2018

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn.
CoRR, 2018

International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Unsupervised Crisis Information Extraction from Twitter Data.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Local community detection in multilayer networks.
Data Min. Knowl. Discov., 2017

Node-centric community detection in multilayer networks with layer-coverage diversification bias.
CoRR, 2017

Controversy-Aware Hybrid Trust Inference in Online Social Networks.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Personalized Recommendation of Points-of-Interest Based on Multilayer Local Community Detection.
Proceedings of the Social Informatics, 2017

An Influence Maximization based approach to the Engagement of Silent Users in Online Social Networks.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2016
Controversy in Trust Networks.
Proceedings of the Trust and Trustworthy Computing - 9th International Conference, 2016

To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems.
Proceedings of the Advances in Network Science, 2016

Modeling Evolutionary Dynamics of Lurking in Social Networks.
Proceedings of the Complex Networks VII, 2016

Community-based delurking in social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Multi-relational PageRank for tree structure sense ranking.
World Wide Web, 2015

Time-aware analysis and ranking of lurkers in social networks.
Soc. Netw. Anal. Min., 2015

"Got to have faith!": The DEvOTION algorithm for delurking in social networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Lurking in social networks: topology-based analysis and ranking methods.
Soc. Netw. Anal. Min., 2014

The PackRec system for travel package recommendation.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Online popularity and topical interests through the lens of instagram.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Understanding lurking behaviors in social networks across time.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
A Versatile Graph-Based Approach to Package Recommendation.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Ranking Vicarious Learners in Research Collaboration Networks.
Proceedings of the Digital Libraries: Social Media and Community Networks, 2013

"Who's out there?": identifying and ranking lurkers in social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013


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