A Multimodal Approach for Cultural Heritage Information Retrieval. - Erasmo Purificato; Antonio M. Rinaldi (ICCSA (1), 2018)

Multimedia and geographic data integration for cultural heritage information retrieval. - Erasmo Purificato; Antonio M. Rinaldi (Multim. Tools Appl., 2018)

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 (IntRS@RecSys, 2021)

Dynamic Privacy-Preserving Recommendations on Academic Graph Data. - Erasmo Purificato; Sabine Wehnert; Ernesto William De Luca (Comput., 2021)

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 (XAI.it@AI*IA, 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 (CIKM, 2022)

First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022). - Erasmo Purificato; Cataldo Musto; Pasquale Lops; Ernesto William De Luca (IUI Companion, 2022)

Beyond-Accuracy Perspectives on Graph Neural Network-Based Models for Behavioural User Profiling. - Erasmo Purificato (UMAP, 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)

Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (DP@AI*IA, 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 (BIAS, 2023)

First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U). - Ernesto William De Luca; Erasmo Purificato; Ludovico Boratto; Stefano Marrone 002; Carlo Sansone (CHItaly, 2023)

Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (CIKM, 2023)

FACADE: Fake Articles Classification and Decision Explanation. - Erasmo Purificato; Saijal Shahania; Marcus Thiel; Ernesto William De Luca (ECIR (3), 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 (HCI (43), 2023)

A Usability Study of a Research Institute Website with Eye-Tracking Devices. - Sabine Wehnert; Erasmo Purificato; Ernesto William De Luca (HCI (43), 2023)

FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. - Mohamed Abdelrazek 003; Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (SIGIR, 2023)

Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (UMAP, 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., 2023)

First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (ECIR (5), 2024)

Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (UMAP (Adjunct Publication), 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 (XAI.it@AI*IA, 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 (XAI.it@AI*IA, 2024)

ExplainBattery: Enhancing Battery Capacity Estimation with an Efficient LSTM Model and Explainability Features. - Leonardo Dal Ronco; Erasmo Purificato (XAI.it@AI*IA, 2024)

User Modeling and User Profiling: A Comprehensive Survey. - Erasmo Purificato; Ludovico Boratto; Ernesto William De Luca (CoRR, 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)

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, 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., 2024)

Data Access under the EU Digital Services Act and its Impact on User Modelling Research. - Erasmo Purificato; Ludovico Boratto; João Vinagre (UMAP (Adjunct Publication), 2025)

GNN's FAME: Fairness-Aware MEssages for Graph Neural Networks. - Erasmo Purificato; Hannan Javed Mahadik; Ludovico Boratto; Ernesto William De Luca (UMAP, 2025)

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation. - Maria Eriksson; Erasmo Purificato; Arman Noroozian; João Vinagre; Guillaume Chaslot; Emilia Gómez; David Fernández Llorca (CoRR, 2025)

You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control. - Giovanni De Toni; Erasmo Purificato; Emilia Gómez; Bruno Lepri; Andrea Passerini; Cristian Consonni (CoRR, 2025)