Design and development of multimedia interactive systems for digital learning. - Francesco Epifania (DMS, 2011)

Cloud design for learning and mobility services. - Giorgio Valle; Bruno Apolloni; Francesco Epifania (DMS, 2011)

User profiling vs. accuracy in recommender system user experience. - Paolo Cremonesi; Francesco Epifania; Franca Garzotto (AVI, 2012)

User-Centered Evaluation of Recommender Systems with Comparison between Short and Long Profile. - Francesco Epifania; Paolo Cremonesi (CISIS, 2012)

Blended learning in Continuing Medical Education. - Francesco Epifania (DMS, 2012)

Socializing Entrepreneurship. - Bruno Apolloni; G. Galliani; C. Zizzo; Francesco Epifania; L. Crosta; I. Cesareo (KES, 2013)

e-Teaching Assistant - A Social Intelligent Platform Supporting Teachers in the Collaborative Creation of Courses. - Marco Mesiti; Stefano Valtolina; Simone Bassis; Francesco Epifania; Bruno Apolloni (CSEDU (1), 2014)

Towards a social e-learning platform for demanding users. - Stefano Valtolina; Marco Mesiti; Francesco Epifania; Bruno Apolloni (EDUCON, 2014)

Evaluation of Requirements Collection Strategies for a Constraint-based Recommender System in a Social e-Learning Platform. - Francesco Epifania; Riccardo Porrini (CSEDU (1), 2016)

A Rule Based Recommender System. - Bruno Apolloni; Simone Bassis; Marco Mesiti; Stefano Valtolina; Francesco Epifania (Advances in Neural Networks, 2016)

Optimized Social Explanation for Educational Platforms. - Italo Zoppis; Riccardo Dondi; Sara Manzoni; Giancarlo Mauri; Luca Marconi; Francesco Epifania (CSEDU (1), 2019)

Approaching Explainable Recommendations for Personalized Social Learning: the Current Stage in the Educational Platform "WhoTeach". - Luca Marconi; Ricardo Anibal Matamoros Aragon; Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Francesco Epifania (XAI.it@AI*IA, 2020)

Explainable Attentional Neural Recommendations for Personalized Social Learning. - Luca Marconi; Ricardo Anibal Matamoros Aragon; Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Francesco Epifania (AI*IA, 2020)

Attentional Neural Mechanisms for Social Recommendations in Educational Platforms. - Italo Zoppis; Sara Manzoni; Giancarlo Mauri; Ricardo Anibal Matamoros Aragon; Luca Marconi; Francesco Epifania (CSEDU (1), 2020)

Recognition of Skin Diseases and Exanthema with Deep Learning Techniques (short). - Antonio Crinieri; Luca Terzi; Francesco Ruggeri; Ricardo A. Matamoros A.; Francesco Epifania; Luca Marconi (AIABI@AI*IA, 2021)

KCRS: KClustering Recommender System for Component Configuration. - Maurizio Monticelli; Ricardo A. Matamoros A.; Francesco Epifania; Luca Marconi; Antonio De Simone (AIABI@AI*IA, 2021)

CMS Optimisation with Deep Learning Techniques. - Alberto Schiaffino; Matteo Reina; Ricardo Anibal Matamoros Aragon; Francesco Epifania; Francesco Ruggeri; Ignazio Maria Castrignano; Luca Marconi (AIABI@AI*IA, 2021)

A Modified CNN for Age and Gender Prediction (short paper). - Danish Ali; Francesco Epifania; Naeem Ahmed; Bilal Khan; Luca Marconi; Ricardo A. Matamoros A. (AIABI@AI*IA, 2022)

Discovering the Unknown Suggestion: a Short Review on Explainability for Recommender Systems. - Luca Marconi; Ricardo A. Matamoros A.; Francesco Epifania (AIABI@AI*IA, 2022)

Extended UTAUT model to analyze the acceptance of virtual assistant's recommendations using interactive visualisations. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon; Elia Musiu; Francesco Epifania; Mattia Villa (AVI, 2022)

Enhancing Online Educational Resource Security with BiGRU Attention Models (short paper). - Ricardo Anibal Matamoros Aragon; Alessandro Solinas; Simone Re; Matteo Oliveri; Francesco Epifania (AIABI@AI*IA, 2023)

The Use of Impressions in Recommender Systems: Improving Complete and Semi Cold-Start (short paper). - Matteo Garavaglia; Alessandro Solinas; Ricardo Anibal Matamoros Aragon; Stefania Bandini; Francesco Epifania (AIABI@AI*IA, 2023)

Detecting Zero-Day Vulnerabilities in CMS Platforms: An In-depth Analysis Using DeepLog. - Alberto Schiaffino; Matteo Reina; Ricardo Anibal Matamoros Aragon; Alessandro Solinas; Francesco Epifania (AIABI@AI*IA, 2023)

Methods for Evaluating Conversational Agents' Communicability, Acceptability and Accessibility Degree. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon; Francesco Epifania (INTERACT (2), 2023)

Fine-Tuning of Distil-BERT for Continual Learning in Text Classification: An Experimental Analysis. - Sahar Shah; Sara Lucia Manzoni; Farooq Zaman; Fatima Es-Sabery; Francesco Epifania; Italo Francesco Zoppis (IEEE Access, 2024)

Design of a conversational recommender system in education. - Stefano Valtolina; Ricardo A. Matamoros A.; Francesco Epifania (User Model. User Adapt. Interact., 2024)