FENU, GIANNI
FENU, GIANNI
DIPARTIMENTO DI MATEMATICA ED INFORMATICA
Classification of Pear Leaf Diseases Based on Ensemble Convolutional Neural Networks
2023-01-01 Fenu, G.; Malloci, F. M.
Consumer Fairness Benchmark in Recommendation
2023-01-01 Boratto, L.; Fenu, G.; Marras, M.; Medda, G.
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
2023-01-01 Boratto, L.; Fabbri, F.; Fenu, G.; Marras, M.; Medda, G.
Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain
2023-01-01 Chessa, A.; Fenu, G.; Motta, E.; Osborne, F.; Reforgiato Recupero, D.; Salatino, A.; Secchi, L.
Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models
2023-01-01 Cadeddu, A.; Chessa, A.; De Leo, V.; Fenu, G.; Motta, E.; Osborne, F.; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Salatino, A.; Secchi, L.
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research
2023-01-01 Saia, R.; Carta, S.; Fenu, G.; Pompianu, L.
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
2023-01-01 Balloccu, G.; Boratto, L.; Cancedda, C.; Fenu, G.; Marras, M.
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods
2023-01-01 Balloccu, G.; Boratto, L.; Cancedda, C.; Fenu, G.; Marras, M.
Leveraging Knowledge Graphs with Large Language Models for Classification Tasks in the Tourism Domain
2023-01-01 Cadeddu, A.; Chessa, A.; De Leo, V.; Fenu, G.; Motta, E.; Osborne, F.; reforgiato recupero, Diego.; Salatino, A.; Secchi, L.
Leveraging the Training Data Partitioning to Improve Events Characterization in Intrusion Detection Systems
2023-01-01 Saia, R.; Carta, S.; Fenu, G.; Pompianu, L.
Practical perspectives of consumer fairness in recommendation
2023-01-01 Boratto, L.; Fenu, G.; Marras, M.; Medda, G.
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality
2023-01-01 Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Towards Explainable Educational Recommendation through Path Reasoning Methods
2023-01-01 Afreen, N.; Balloccu, G.; Boratto, L.; Fenu, G.; Marras, M.
Towards Self-Explaining Sequence-Aware Recommendation
2023-01-01 Ariza-Casabona, A.; Salamo, M.; Boratto, L.; Fenu, G.
A Region-based Training Data Segmentation Strategy to Credit Scoring
2022-01-01 Saia, R.; Carta, S.; Fenu, G.; Pompianu, L.
Brain Waves and Evoked Potentials as Biometric User Identification Strategy: An Affordable Low-cost Approach
2022-01-01 Saia, R.; Carta, S.; Fenu, G.; Pompianu, L.
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations
2022-01-01 Boratto, L.; Fenu, G.; Medda, G.; Marras, M.
Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems
2022-01-01 Fenu, G.; Marras, M.
Enriching Data Lakes with Knowledge Graphs
2022-01-01 Chessa, Alessandro; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Salatino, Angelo; Secchi, Luca
Evaluating Impacts between Laboratory and Field-Collected Datasets for Plant Disease Classification
2022-01-01 Fenu, G.; Malloci, F. M.