A "big data oriented" and "complex network based" model supporting the uniform investigation of heterogeneous personalized medicine data. - Paolo Lo Giudice; Domenico Ursino; Luca Virgili (BIBM, 2018)

Redefining Betweenness Centrality in a Multiple IoT Scenario. - Francesco Cauteruccio; Giorgio Terracina; Domenico Ursino; Luca Virgili (AI&IoT@AI*IA, 2019)

Investigating the Scope of a Thing in a Multiple Internet of Things Scenario. - Francesco Cauteruccio; Luca Cinelli; Giorgio Terracina; Domenico Ursino; Luca Virgili (SEBD, 2019)

A well-tailored centrality measure for evaluating patents and their citations. - Claudia Donato; Paolo Lo Giudice; Roberta Marretta; Domenico Ursino; Luca Virgili (J. Documentation, 2019)

Leveraging network analysis to support experts in their analyses of subjects with MCI and AD. - Paolo Lo Giudice; Nadia Mammone; Francesco Carlo Morabito; Rocco Giuseppe Pizzimenti; Domenico Ursino; Luca Virgili (Medical Biol. Eng. Comput., 2019)

Building Topic-Driven Virtual IoTs in a Multiple IoTs Scenario. - Paolo Lo Giudice; Antonino Nocera; Domenico Ursino; Luca Virgili (Sensors, 2019)

Co-posting Author Assortativity in Reddit. - Francesco Cauteruccio; Enrico Corradini; Giorgio Terracina; Domenico Ursino; Luca Virgili (SEBD, 2020)

OntoConnect: results for OAEI 2020. - Jaydeep Chakraborty; Beyza Yaman; Luca Virgili; Krishanu Konar; Srividya Bansal 001 (OM@ISWC, 2020)

An approach to evaluate trust and reputation of things in a Multi-IoTs scenario. - Domenico Ursino; Luca Virgili (Computing, 2020)

A privacy-preserving approach to prevent feature disclosure in an IoT scenario. - Serena Nicolazzo; Antonino Nocera; Domenico Ursino; Luca Virgili (Future Gener. Comput. Syst., 2020)

A Lightweight Approach to Extract Interschema Properties from Structured, Semi-Structured and Unstructured Sources in a Big Data Scenario. - Francesco Cauteruccio; Paolo Lo Giudice; Lorenzo Musarella; Giorgio Terracina; Domenico Ursino; Luca Virgili (Int. J. Inf. Technol. Decis. Mak., 2020)

Defining and detecting k-bridges in a social network: The Yelp case, and more. - Enrico Corradini; Antonino Nocera; Domenico Ursino; Luca Virgili (Knowl. Based Syst., 2020)

An approach to compute the scope of a social object in a Multi-IoT scenario. - Francesco Cauteruccio; Luca Cinelli; Giancarlo Fortino; Claudio Savaglio; Giorgio Terracina; Domenico Ursino; Luca Virgili (Pervasive Mob. Comput., 2020)

OntoConnect: unsupervised ontology alignment with recursive neural network. - Jaydeep Chakraborty; Srividya K. Bansal; Luca Virgili; Krishanu Konar; Beyza Yaman (SAC, 2021)

Applying Generative Adversarial Networks to perform gaze path prediction in websites (Discussion Paper). - Gianluca Bonifazi; Enrico Corradini; Gianluca Porcino; Alessandro Scopelliti; Domenico Ursino; Luca Virgili (SEBD, 2021)

An investigation on Not Safe For Work adult content in Reddit (Discussion Paper). - Francesco Cauteruccio; Enrico Corradini; Giorgio Terracina; Domenico Ursino; Luca Virgili (SEBD, 2021)

Increasing protection and autonomy in the IoT through a two-tier blockchain framework (Discussion Paper). - Enrico Corradini; Serena Nicolazzo; Antonino Nocera; Domenico Ursino; Luca Virgili (SEBD, 2021)

A framework for anomaly detection and classification in Multiple IoT scenarios. - Francesco Cauteruccio; Luca Cinelli; Enrico Corradini; Giorgio Terracina; Domenico Ursino; Luca Virgili; Claudio Savaglio; Antonio Liotta; Giancarlo Fortino (Future Gener. Comput. Syst., 2021)

Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model. - Enrico Corradini; Antonino Nocera; Domenico Ursino; Luca Virgili (Int. J. Inf. Manag., 2021)

Investigating the phenomenon of NSFW posts in Reddit. - Enrico Corradini; Antonino Nocera; Domenico Ursino; Luca Virgili (Inf. Sci., 2021)

Mapping and Compressing a Convolutional Neural Network through a Multilayer Network. - Alessia Amelio; Gianluca Bonifazi; Enrico Corradini; Michele Marchetti; Domenico Ursino; Luca Virgili (SEBD, 2022)

A Network-based Model and a Related Approach to Represent and Handle the Semantics of Comments in a Social Network. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Giorgio Terracina; Domenico Ursino; Luca Virgili (SEBD, 2022)

Defining a deep neural network ensemble for identifying fabric colors. - Alessia Amelio; Gianluca Bonifazi; Enrico Corradini; Simone Di Saverio; Michele Marchetti; Domenico Ursino; Luca Virgili (Appl. Soft Comput., 2022)

A Space-Time Framework for Sentiment Scope Analysis in Social Media. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Luigi Sciarretta; Domenico Ursino; Luca Virgili (Big Data Cogn. Comput., 2022)

A two-tier Blockchain framework to increase protection and autonomy of smart objects in the IoT. - Enrico Corradini; Serena Nicolazzo; Antonino Nocera; Domenico Ursino; Luca Virgili (Comput. Commun., 2022)

An approach to detect backbones of information diffusers among different communities of a social platform. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Alberto Pierini; Giorgio Terracina; Domenico Ursino; Luca Virgili (Data Knowl. Eng., 2022)

Extraction and analysis of text patterns from NSFW adult content in Reddit. - Francesco Cauteruccio; Enrico Corradini; Giorgio Terracina; Domenico Ursino; Luca Virgili (Data Knowl. Eng., 2022)

Fine-tuning SalGAN and PathGAN for extending saliency map and gaze path prediction from natural images to websites. - Enrico Corradini; Gianluca Porcino; Alessandro Scopelliti; Domenico Ursino; Luca Virgili (Expert Syst. Appl., 2022)

New Approaches to Extract Information From Posts on COVID-19 Published on Reddit. - Gianluca Bonifazi; Enrico Corradini; Domenico Ursino; Luca Virgili (Int. J. Inf. Technol. Decis. Mak., 2022)

Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach. - Gianluca Bonifazi; Bernardo Breve; Stefano Cirillo; Enrico Corradini; Luca Virgili (Inf. Process. Manag., 2022)

Defining user spectra to classify Ethereum users based on their behavior. - Gianluca Bonifazi; Enrico Corradini; Domenico Ursino; Luca Virgili (J. Big Data, 2022)

Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity. - Francesco Cauteruccio; Enrico Corradini; Giorgio Terracina; Domenico Ursino; Luca Virgili (J. Inf. Sci., 2022)

A machine learning based sentient multimedia framework to increase safety at work. - Gianluca Bonifazi; Enrico Corradini; Domenico Ursino; Luca Virgili; Emiliano Anceschi; Massimo Callisto De Donato (Multim. Tools Appl., 2022)

Extracting time patterns from the lifespans of TikTok challenges to characterize non-dangerous and dangerous ones. - Gianluca Bonifazi; Silvia Cecchini; Enrico Corradini; Lorenzo Giuliani; Domenico Ursino; Luca Virgili (Soc. Netw. Anal. Min., 2022)

Correction to: Extracting time patterns from the lifespans of TikTok challenges to characterize non‑dangerous and dangerous ones. - Gianluca Bonifazi; Silvia Cecchini; Enrico Corradini; Lorenzo Giuliani; Domenico Ursino; Luca Virgili (Soc. Netw. Anal. Min., 2022)

Predicting Tweet Engagement with Graph Neural Networks. - Marco Arazzi; Marco Cotogni; Antonino Nocera; Luca Virgili (ICMR, 2023)

DLE4FC: a Deep Learning Ensemble to Identify Fabric Colors. - Alessia Amelio; Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Domenico Ursino; Luca Virgili (SEBD, 2023)

NT4XAI: a Framework Exploiting Network Theory to Support XAI on Classifiers. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Giorgio Terracina; Domenico Ursino; Luca Virgili (SEBD, 2023)

An Ex-post Analysis of the Phenomenon of Wash Trading on NFTs. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Domenico Ursino; Luca Virgili (SEBD, 2023)

A Multilayer Network-Based Approach for Interpreting and Compressing Convolutional Neural Networks. - Alessia Amelio; Gianluca Bonifazi; Domenico Ursino; Luca Virgili (ERCIM News, 2023)

A Social Network Analysis-based approach to investigate user behaviour during a cryptocurrency speculative bubble. - Gianluca Bonifazi; Enrico Corradini; Domenico Ursino; Luca Virgili (J. Inf. Sci., 2023)

A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks. - Alessia Amelio; Gianluca Bonifazi; Enrico Corradini; Domenico Ursino; Luca Virgili (Cogn. Comput., 2023)

Performing Wash Trading on NFTs: Is the Game Worth the Candle? - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Daniele Montella; Simone Scarponi; Domenico Ursino; Luca Virgili (Big Data Cogn. Comput., 2023)

Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts. - Gianluca Bonifazi; Enrico Corradini; Domenico Ursino; Luca Virgili (Big Data Cogn. Comput., 2023)

Representation and compression of Residual Neural Networks through a multilayer network based approach. - Alessia Amelio; Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Domenico Ursino; Luca Virgili (Expert Syst. Appl., 2023)

A framework for investigating the dynamics of user and community sentiments in a social platform. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Giorgio Terracina; Domenico Ursino; Luca Virgili (Data Knowl. Eng., 2023)

Speeding up Vision Transformers Through Reinforcement Learning. - Francesco Cauteruccio; Michele Marchetti; Davide Traini; Domenico Ursino; Luca Virgili (SEBD, 2024)

Characterizing Information Shared by Participants to Coding Challenges: The Case of Advent of Code. - Francesco Cauteruccio; Enrico Corradini; Luca Virgili (CoRR, 2024)

A model-agnostic, network theory-based framework for supporting XAI on classifiers. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Giorgio Terracina; Domenico Ursino; Luca Virgili (Expert Syst. Appl., 2024)

Investigating community evolutions in TikTok dangerous and non-dangerous challenges. - Gianluca Bonifazi; Silvia Cecchini; Enrico Corradini; Lorenzo Giuliani; Domenico Ursino; Luca Virgili (J. Inf. Sci., 2024)

Representation, detection and usage of the content semantics of comments in a social platform. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Giorgio Terracina; Domenico Ursino; Luca Virgili (J. Inf. Sci., 2024)

A network analysis-based framework to understand the representation dynamics of graph neural networks. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Domenico Ursino; Luca Virgili (Neural Comput. Appl., 2024)

A deep learning approach to classify country and value of modern coins. - Stefano Cirillo; Giandomenico Solimando; Luca Virgili (Neural Comput. Appl., 2024)

A multilayer network-based framework for investigating the evolution and resilience of multimodal social networks. - Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Edoardo Giannelli; Michele Marchetti; Domenico Ursino; Luca Virgili (Soc. Netw. Anal. Min., 2024)

A fine-grained approach for visual interpretability of convolutional neural networks. - Alessia Amelio; Gianluca Bonifazi; Francesco Cauteruccio; Enrico Corradini; Michele Marchetti; Domenico Ursino; Luca Virgili (Appl. Soft Comput., 2025)

Efficient token pruning in Vision Transformers using an attention-based Multilayer Network. - Michele Marchetti; Davide Traini; Domenico Ursino; Luca Virgili (Expert Syst. Appl., 2025)

Adaptive patch selection to improve Vision Transformers through Reinforcement Learning. - Francesco Cauteruccio; Michele Marchetti; Davide Traini; Domenico Ursino; Luca Virgili (Appl. Intell., 2025)