Ricardo Anibal Matamoros Aragon

17 papers B 1Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
A Teacher-Driven Framework for Reliable and Personalised AITutors.
CHItaly
Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Francesco Epifania
2025 — conf
Personalised AI-Driven Conversational Agents for Adaptive Self-learning.
INTERACT (1)
Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Francesco Epifania, Alessia Orlandi
2024 — —
Explainable Recommender System Based on Attentional Mechanism for E-learning Domain.
Ricardo Anibal Matamoros Aragon
2023 — conf
An Empirical Analysis of Attention Based Solution Applied to Text Summarization Task.
AIABI@AI*IA
Simone Deola, Luca Leo Del Vescovo, Ricardo Anibal Matamoros Aragon
2023 — conf
Detecting Zero-Day Vulnerabilities in CMS Platforms: An In-depth Analysis Using DeepLog.
AIABI@AI*IA
Alberto Schiaffino, Matteo Reina, Ricardo Anibal Matamoros Aragon, Alessandro Solinas, Francesco Epifania
2023 — conf
Domain Experts' Involvement in Training Conversational Agents.
IS-EUD Workshops
Stefano Valtolina, Ricardo Anibal Matamoros Aragon
2023 — conf
EUD Strategy in the Education Field for Supporting Teachers in Creating Digital Courses.
IS-EUD
Stefano Valtolina, Ricardo Anibal Matamoros Aragon
2023 — conf
Enhancing Online Educational Resource Security with BiGRU Attention Models (short paper).
AIABI@AI*IA
Ricardo Anibal Matamoros Aragon, Alessandro Solinas, Simone Re, Matteo Oliveri, Francesco Epifania
2023 — conf
Methods for Evaluating Conversational Agents' Communicability, Acceptability and Accessibility Degree.
INTERACT (2)
Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Francesco Epifania
2023 — conf
The Use of Impressions in Recommender Systems: Improving Complete and Semi Cold-Start (short paper).
AIABI@AI*IA
Matteo Garavaglia, Alessandro Solinas, Ricardo Anibal Matamoros Aragon, Stefania Bandini, Francesco Epifania
2023 — conf
When Attention Turn To Be Explanation. A Case Study in Recommender Systems.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni
2022 B conf
Extended UTAUT model to analyze the acceptance of virtual assistant's recommendations using interactive visualisations.
AVI
Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Elia Musiu, Francesco Epifania, Mattia Villa
2022 — conf
User-chatbot interaction: an acceptancy evaluation.
CoPDA@AVI
Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Riccardo Castelli
2021 — conf
CMS Optimisation with Deep Learning Techniques.
AIABI@AI*IA
Alberto Schiaffino, Matteo Reina, Ricardo Anibal Matamoros Aragon, Francesco Epifania, Francesco Ruggeri, Ignazio Maria Castrignano, Luca Marconi
2020 — conf
Approaching Explainable Recommendations for Personalized Social Learning: the Current Stage in the Educational Platform "WhoTeach".
XAI.it@AI*IA
Luca Marconi, Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Francesco Epifania
2020 — conf
Attentional Neural Mechanisms for Social Recommendations in Educational Platforms.
CSEDU (1)
Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Ricardo Anibal Matamoros Aragon, Luca Marconi, Francesco Epifania
2020 — conf
Explainable Attentional Neural Recommendations for Personalized Social Learning.
AI*IA
Luca Marconi, Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Francesco Epifania