Erasmo Purificato
Orcid: 0000-0002-5506-3020
According to our database1,
Erasmo Purificato authored at least 39 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
From Modeling and Profiling to Auditing: the Evolving Role of the User in Recommender System Research.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026
With a Little Help From My Friends: Collective Manipulation in Risk-Controlling Recommender Systems.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026
2025
IEEE Trans. Vis. Comput. Graph., October, 2025
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation.
CoRR, February, 2025
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025
Data Access under the EU Digital Services Act and its Impact on User Modelling Research.
Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025
Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
Inside the Frame: A Plan for Audio-Visual Feature Analysis of Video Recommendations for Children.
Proceedings of the DaQuaMRec 2025 Workshop on Data Quality-Aware Multimodal Recommendation co-located with RecSys 2025, 2025
2024
Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks.
Minds Mach., September, 2024
Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024.
SIGIR Forum, June, 2024
PhD thesis, 2024
ExplainBattery: Enhancing Battery Capacity Estimation with an Efficient LSTM Model and Explainability Features.
Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024
Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024
Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024
First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024).
Proceedings of the Advances in Information Retrieval, 2024
2023
The Use of Responsible Artificial Intelligence Techniques in the Context of Loan Approval Processes.
Int. J. Hum. Comput. Interact., April, 2023
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the HCI International 2023 Posters, 2023
Usability Studies in Times of Pandemic: Different Solutions for the Remote Usability Tests of Research Digital Tools.
Proceedings of the HCI International 2023 Posters, 2023
Proceedings of the Advances in Information Retrieval, 2023
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U).
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023
What Are We Missing in Algorithmic Fairness? Discussing Open Challenges for Fairness Analysis in User Profiling with Graph Neural Networks.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023
Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks.
Proceedings of the Discussion Papers, 2023
2022
Multim. Tools Appl., 2022
Beyond-Accuracy Perspectives on Graph Neural Network-Based Models for Behavioural User Profiling.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022).
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Tell Me Why It's Fake: Developing an Explainable User Interface for a Fake News Detection System.
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022
2021
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021
2018
Multimedia and geographic data integration for cultural heritage information retrieval.
Multim. Tools Appl., 2018
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018