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)

User-chatbot interaction: an acceptancy evaluation. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon; Riccardo Castelli (CoPDA@AVI, 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)

An Empirical Analysis of Attention Based Solution Applied to Text Summarization Task. - Simone Deola; Luca Leo Del Vescovo; Ricardo Anibal Matamoros Aragon (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)

EUD Strategy in the Education Field for Supporting Teachers in Creating Digital Courses. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon (IS-EUD, 2023)

Domain Experts' Involvement in Training Conversational Agents. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon (IS-EUD Workshops, 2023)

When Attention Turn To Be Explanation. A Case Study in Recommender Systems. - Ricardo Anibal Matamoros Aragon; Italo Zoppis; Sara Manzoni (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

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

A Teacher-Driven Framework for Reliable and Personalised AITutors. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon; Francesco Epifania (CHItaly, 2025)

Personalised AI-Driven Conversational Agents for Adaptive Self-learning. - Stefano Valtolina; Ricardo Anibal Matamoros Aragon; Francesco Epifania; Alessia Orlandi (INTERACT (1), 2025)