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ORCIDRicardo Anibal Matamoros Aragon
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2020 – today
- 2024
[j1]Stefano Valtolina
, Ricardo A. Matamoros A., Francesco Epifania:
Design of a conversational recommender system in education. User Model. User Adapt. Interact. 34(5): 1613-1641 (2024)- [e2]Francesco Epifania, Ricardo A. Matamoros A., Simone Deola, Matteo Garavaglia, Emanuele Frontoni:
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), Rome, Italy, November 9th, 2023. CEUR Workshop Proceedings 3650, CEUR-WS.org 2024 [contents] - 2023
- [c18]Ricardo Anibal Matamoros Aragon, Alessandro Solinas, Simone Re, Matteo Oliveri, Francesco Epifania:
Enhancing Online Educational Resource Security with BiGRU Attention Models (short paper). AIABI@AI*IA 2023 - [c17]Simone Deola, Luca Leo Del Vescovo, Ricardo Anibal Matamoros Aragon:
An Empirical Analysis of Attention Based Solution Applied to Text Summarization Task. AIABI@AI*IA 2023 - [c16]Matteo Garavaglia, Alessandro Solinas, Ricardo Anibal Matamoros Aragon, Stefania Bandini, Francesco Epifania:
The Use of Impressions in Recommender Systems: Improving Complete and Semi Cold-Start (short paper). AIABI@AI*IA 2023 - [c15]Alberto Schiaffino, Matteo Reina, Ricardo Anibal Matamoros Aragon, Alessandro Solinas, Francesco Epifania:
Detecting Zero-Day Vulnerabilities in CMS Platforms: An In-depth Analysis Using DeepLog. AIABI@AI*IA 2023 - [c14]Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Francesco Epifania:
Methods for Evaluating Conversational Agents' Communicability, Acceptability and Accessibility Degree. INTERACT (2) 2023: 372-382 - [c13]Stefano Valtolina, Ricardo Anibal Matamoros Aragon:
EUD Strategy in the Education Field for Supporting Teachers in Creating Digital Courses. IS-EUD 2023: 250-267 - [c12]Stefano Valtolina, Ricardo Anibal Matamoros Aragon:
Domain Experts' Involvement in Training Conversational Agents. IS-EUD Workshops 2023 - [c11]Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni:
When Attention Turn To Be Explanation. A Case Study in Recommender Systems. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 129-134 - [e1]Francesco Epifania, Luca Marconi, Ricardo A. Matamoros A., Riccardo Rosati, Emanuele Frontoni, Luca Romeo:
Proceedings of the 2nd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2022) co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Online, originally held in Milan, Italy, December 2nd, 2022. CEUR Workshop Proceedings 3463, CEUR-WS.org 2023 [contents] - 2022
- [c10]Danish Ali, Francesco Epifania, Naeem Ahmed, Bilal Khan, Luca Marconi, Ricardo A. Matamoros A.:
A Modified CNN for Age and Gender Prediction (short paper). AIABI@AI*IA 2022 - [c9]Luca Marconi, Ricardo A. Matamoros A., Francesco Epifania:
Discovering the Unknown Suggestion: a Short Review on Explainability for Recommender Systems. AIABI@AI*IA 2022 - [c8]Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Elia Musiu, Francesco Epifania, Mattia Villa:
Extended UTAUT model to analyze the acceptance of virtual assistant's recommendations using interactive visualisations. AVI 2022: 8:1-8:5 - [c7]Stefano Valtolina, Ricardo Anibal Matamoros Aragon, Riccardo Castelli:
User-chatbot interaction: an acceptancy evaluation. CoPDA@AVI 2022: 60-65 - 2021
- [c6]Antonio Crinieri, Luca Terzi, Francesco Ruggeri, Ricardo A. Matamoros A., Francesco Epifania, Luca Marconi:
Recognition of Skin Diseases and Exanthema with Deep Learning Techniques (short). AIABI@AI*IA 2021 - [c5]Maurizio Monticelli, Ricardo A. Matamoros A., Francesco Epifania, Luca Marconi, Antonio De Simone:
KCRS: KClustering Recommender System for Component Configuration. AIABI@AI*IA 2021 - [c4]Alberto Schiaffino, Matteo Reina, Ricardo Anibal Matamoros Aragon, Francesco Epifania, Francesco Ruggeri, Ignazio Maria Castrignano, Luca Marconi:
CMS Optimisation with Deep Learning Techniques. AIABI@AI*IA 2021 - 2020
- [c3]Luca Marconi, Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Francesco Epifania:
Explainable Attentional Neural Recommendations for Personalized Social Learning. AI*IA 2020: 67-79 - [c2]Luca Marconi, Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Francesco Epifania:
Approaching Explainable Recommendations for Personalized Social Learning: the Current Stage in the Educational Platform "WhoTeach". XAI.it@AI*IA 2020: 104-111 - [c1]Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Ricardo Anibal Matamoros Aragon, Luca Marconi, Francesco Epifania:
Attentional Neural Mechanisms for Social Recommendations in Educational Platforms. CSEDU (1) 2020: 111-117
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