Improving Fairness in Speaker Recognition. - Gianni Fenu; Giacomo Medda; Mirko Marras; Giacomo Meloni (ESSE, 2020)

Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition. - Gianni Fenu; Mirko Marras; Giacomo Medda; Giacomo Meloni (Interspeech, 2021)

Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (ECIR (1), 2022)

How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment. - Vivek Kumar 007; Giacomo Medda; Diego Reforgiato Recupero; Daniele Riboni; Rim Helaoui; Gianni Fenu (BIAS, 2023)

Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (CIKM, 2023)

Consumer Fairness Benchmark in Recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (IIR, 2023)

Practical perspectives of consumer fairness in recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (Inf. Process. Manag., 2023)

Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems. - Gianni Fenu; Mirko Marras; Giacomo Medda; Giacomo Meloni (Pattern Recognit. Lett., 2023)

Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (ECIR (3), 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 (ECIR (5), 2024)

Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (IIR, 2024)

Fair Augmentation for Graph Collaborative Filtering. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (RecSys, 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)

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health. - Vivek Kumar 007; Eirini Ntoutsi; Pushpraj Singh Rajawat; Giacomo Medda; Diego Reforgiato Recupero (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)

Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism. - Ludovico Boratto; Federica Cena; Mirko Marras; Noemi Mauro; Giacomo Medda (SIGIR, 2025)

GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. - Giacomo Medda; Francesco Fabbri; Mirko Marras; Ludovico Boratto; Gianni Fenu (ACM Trans. Intell. Syst. Technol., 2025)