Context-Aware Design of Semantic Web Services to Improve the Precision of Compositions. - Angelo Furno; Eugenio Zimeo (ICCASA, 2012)

Efficient Cooperative Discovery of Service Compositions in Unstructured P2P Networks. - Angelo Furno; Eugenio Zimeo (PDP, 2013)

Towards Effective Event-Driven SOA in Enterprise Systems. - Quirino Zagarese; Angelo Furno; Gerardo Canfora; Eugenio Zimeo (SMC, 2013)

Gossip Strategies for Service Composition. - Angelo Furno; Eugenio Zimeo (PDP, 2014)

Self-scaling cooperative discovery of service compositions in unstructured P2P networks. - Angelo Furno; Eugenio Zimeo (J. Parallel Distributed Comput., 2014)

Context-aware Composition of Semantic Web Services. - Angelo Furno; Eugenio Zimeo (Mob. Networks Appl., 2014)

A Comparative Evaluation of Urban Fabric Detection Techniques Based on Mobile Traffic Data. - Angelo Furno; Razvan Stanica; Marco Fiore 001 (ASONAM, 2015)

Two-level clustering fast betweenness centrality computation for requirement-driven approximation. - Angelo Furno; Nour-Eddin El Faouzi; Rajesh Sharma 002; Eugenio Zimeo (IEEE BigData, 2017)

Reducing Pivots of Approximated Betweenness Computation by Hierarchically Clustering Complex Networks. - Angelo Furno; Nour-Eddin El Faouzi; Rajesh Sharma 002; Eugenio Zimeo (COMPLEX NETWORKS, 2017)

Joint spatial and temporal classification of mobile traffic demands. - Angelo Furno; Marco Fiore 001; Razvan Stanica (INFOCOM, 2017)

Fusing GPS probe and mobile phone data for enhanced land-use detection. - Angelo Furno; Nour-Eddin El Faouzi; Marco Fiore 001; Razvan Stanica (MT-ITS, 2017)

A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas. - Angelo Furno; Marco Fiore 001; Razvan Stanica; Cezary Ziemlicki; Zbigniew Smoreda (IEEE Trans. Mob. Comput., 2017)

Mobile Demand Profiling for Cellular Cognitive Networking. - Angelo Furno; Diala Naboulsi; Razvan Stanica; Marco Fiore 001 (IEEE Trans. Mob. Comput., 2017)

Scalability Analysis of Cluster-based Betweenness Computation in Large Weighted Graphs. - Andrea Castiello; Gianmarco Fucci; Angelo Furno; Eugenio Zimeo (IEEE BigData, 2018)

Fast Approximated Betweenness Centrality of Directed and Weighted Graphs. - Angelo Furno; Nour-Eddin El Faouzi; Rajesh Sharma 002; Eugenio Zimeo (COMPLEX NETWORKS (1), 2018)

Prescriptive Analytics for MEC Orchestration. - Alberto Ceselli; Marco Fiore 001; Angelo Furno; Marco Premoli; Stefano Secci; Razvan Stanica (Networking, 2018)

A Graph-Based Framework for Real-Time Vulnerability Assessment of Road Networks. - Angelo Furno; Nour-Eddin El Faouzi; Rajesh Sharma 002; Valerio Cammarota; Eugenio Zimeo (SMARTCOMP, 2018)

Cluster-based Computation of Exact Betweenness Centrality in Large Undirected Graphs. - Cecile Daniel; Angelo Furno; Eugenio Zimeo (IEEE BigData, 2019)

A Microservices Platform for Monitoring and Analysis of IoT Traffic Data in Smart Cities. - Antonio De Iasio; Angelo Furno; Lorenzo Goglia; Eugenio Zimeo (IEEE BigData, 2019)

Spatio-temporal Correlations of Betweenness Centrality and Traffic Metrics. - Elise Henry; Loïc Bonnetain; Angelo Furno; Nour-Eddin El Faouzi; Eugenio Zimeo (MT-ITS, 2019)

Characterizing and Removing Oscillations in Mobile Phone Location Data. - Panagiota Katsikouli; Marco Fiore 001; Angelo Furno; Razvan Stanica (WOWMOM, 2019)

Quick Sub-optimal Augmentation of Large Scale Multi-modal Transport Networks. - Elise Henry; Mathieu Petit; Angelo Furno; Nour-Eddin El Faouzi (COMPLEX NETWORKS (2), 2020)

Traffic speed prediction in the Lyon area using DCRNN (extended abstract). - Fabio Mensi; Angelo Furno; Rémy Cazabet (MARAMI, 2020)

Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series. - Evelyne Akopyan; Angelo Furno; Nour-Eddin El Faouzi; Eric Gaume (ESANN, 2021)

A Lightweight Approach for Origin-Destination Matrix Anonymization. - Benoit Matet; Etienne Côme; Angelo Furno; Loïc Bonnetain; Latifa Oukhellou; Nour-Eddin El Faouzi (ESANN, 2021)

REINFORCE: rapid augmentation of large-scale multi-modal transport networks for resilience enhancement. - Elise Henry; Angelo Furno; Nour-Eddin El Faouzi (Appl. Netw. Sci., 2021)

Optimal Subgraph on Disturbed Network. - Matthieu Guillot; El-Houssaine Aghezzaf; Nour-Eddin El Faouzi; Angelo Furno (CoRR, 2021)

Fast cluster-based computation of exact betweenness centrality in large graphs. - Cecile Daniel; Angelo Furno; Lorenzo Goglia; Eugenio Zimeo (J. Big Data, 2021)

Mobility-based SIR model for complex networks: with case study Of COVID-19. - Rahul Goel; Loïc Bonnetain; Rajesh Sharma 002; Angelo Furno (Soc. Netw. Anal. Min., 2021)

GLOVE: Towards Privacy-Preserving Publishing of Record-Level-Truthful Mobile Phone Trajectories. - Marco Gramaglia; Marco Fiore 001; Angelo Furno; Razvan Stanica (Trans. Data Sci., 2021)

PROMENADE: A big data platform for handling city complex networks with dynamic graphs. - Carmine Colarusso; Antonio De Iasio; Angelo Furno; Lorenzo Goglia; Mohammed Amine Merzoug; Eugenio Zimeo (Future Gener. Comput. Syst., 2022)

Data-driven Approaches for Enhancing Resilience in Large-scale Transport Networks: A journey through data analysis, traffic modelling, complex networks and flexible software architectures for resilient and sustainable cities. - Angelo Furno (2023)

Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions. - Romain Rochas; Angelo Furno; Nour-Eddin El Faouzi (ITSC, 2023)

A Signature-based Approach for Data-driven Analysis of the Inter-modal Demand Dynamics. - Ali Shateri Benam; Angelo Furno; Nour-Eddin El Faouzi (MT-ITS, 2023)

Predicting Socio-Economic Well-being Using Mobile Apps Data: A Case Study of France. - Rahul Goel; Angelo Furno; Rajesh Sharma 002 (CoRR, 2023)

Exploring the Multi-modal Demand Dynamics During Transport System Disruptions. - Ali Shateri Benam; Angelo Furno; Nour-Eddin El Faouzi (CoRR, 2023)

Early Detection of Critical Urban Events using Mobile Phone Network Data. - Pierre Lemaire 004; Angelo Furno; Stefania Rubrichi; Alexis Bondu; Zbigniew Smoreda; Cezary Ziemlicki; Nour-Eddin El Faouzi; Eric Gaume (CoRR, 2024)

Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting. - Thien Pham; Angelo Furno; Faïcel Chamroukhi; Latifa Oukhellou (CoRR, 2025)