Erasmo Purificato

According to our database, Erasmo Purificato authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

Minds Mach., September, 2024

Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024.

Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato

SIGIR Forum, June, 2024

How Fair is Your Diffusion Recommender Model?

Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Ludovico Boratto, Fragkiskos D. Malliaros, Mirko Marras, Ernesto William De Luca

CoRR, 2024

User Modeling and User Profiling: A Comprehensive Survey.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

CoRR, 2024

ExplainBattery: Enhancing Battery Capacity Estimation with an Efficient LSTM Model and Explainability Features.

Leonardo Dal Ronco, Erasmo Purificato

Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024

XAI.it 2024: An Overview on the Future of AI in the Era of Large Language Models.

Marco Polignano, Cataldo Musto, Roberto Pellungrini, Erasmo Purificato, Giovanni Semeraro, Mattia Setzu

Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024

A Comprehensive Strategy to Bias and Mitigation in Human Resource Decision Systems.

Silvia D'Amicantonio, Mishal Kizhakkam Kulangara, Het Darshan Mehta, Shalini Pal, Marco Levantesi, Marco Polignano, Erasmo Purificato, Ernesto William De Luca

Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024

Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

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).

Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato

Proceedings of the Advances in Information Retrieval, 2024

2023

The Use of Responsible Artificial Intelligence Techniques in the Context of Loan Approval Processes.

Erasmo Purificato, Flavio Lorenzo, Francesca Fallucchi, Ernesto William De Luca

Int. J. Hum. Comput. Interact., April, 2023

Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

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.

Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Usability Study of a Research Institute Website with Eye-Tracking Devices.

Sabine Wehnert, Erasmo Purificato, Ernesto William De Luca

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.

Erasmo Purificato, Sabine Wehnert, Ernesto William De Luca

Proceedings of the HCI International 2023 Posters, 2023

FACADE: Fake Articles Classification and Decision Explanation.

Erasmo Purificato, Saijal Shahania, Marcus Thiel, Ernesto William De Luca

Proceedings of the Advances in Information Retrieval, 2023

Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U).

Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone

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.

Erasmo Purificato, Ernesto William De Luca

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.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

Proceedings of the Discussion Papers, 2023

2022

Enriching videos with automatic place recognition in google maps.

Francesca Fallucchi, Rosario Di Stabile, Erasmo Purificato, Romeo Giuliano, Ernesto William De Luca

Multim. Tools Appl., 2022

Beyond-Accuracy Perspectives on Graph Neural Network-Based Models for Behavioural User Profiling.

Erasmo Purificato

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).

Erasmo Purificato, Cataldo Musto, Pasquale Lops, Ernesto William De Luca

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.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca

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.

Erasmo Purificato, Saijal Shahania, Ernesto William De Luca

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

Dynamic Privacy-Preserving Recommendations on Academic Graph Data.

Erasmo Purificato, Sabine Wehnert, Ernesto William De Luca

Comput., 2021

Evaluating Explainable Interfaces for a Knowledge Graph-Based Recommender System.

Erasmo Purificato, Baalakrishnan Aiyer Manikandan, Prasanth Vaidya Karanam, Mahantesh Vishvanath Pattadkal, Ernesto William De Luca

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.

Erasmo Purificato, Antonio M. Rinaldi

Multim. Tools Appl., 2018

A Multimodal Approach for Cultural Heritage Information Retrieval.

Erasmo Purificato, Antonio M. Rinaldi

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018