Towards a Conceptual Framework for UML to Hardware Description Language Mappings. - Ian Oliver; Michele Marchetti (FDL, 2003)

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)

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)

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)

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)

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)

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)

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 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)