Andrea Cadeddu

According to our database, Andrea Cadeddu authored at least 9 papers between 2014 and 2025.

Collaborative distances:

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

2025

Polarity Detection of Sustainable Detection Goals in News Text.

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

CoRR, September, 2025

A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals.

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

IEEE Access, 2025

Benchmarking Large Language Models for Sustainable Development Goals Classification: Evaluating In-Context Learning and Fine-Tuning Strategies.

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

Proceedings of the Third International Workshop on Semantic Technologies and Deep Learning Models for Scientific, 2025

2024

Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies.

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

Inf., July, 2024

A comparative analysis of knowledge injection strategies for large language models in the scholarly domain.

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

Eng. Appl. Artif. Intell., 2024

2023

Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models.

Vincenzo De Leo, Andrea Cadeddu, Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023), 2023

Enhancing Large Language Models with Knowledge Graphs for Classification Tasks in the Tourism Domain.

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023), 2023

2015

Flexible Actuator for Biomorphic Applications: Performances and Energy Consumption Evaluation.

Andrea Manuello Bertetto, Carlo Ferraresi, Luigi Antonio Besalduch, Roberto Ricciu, Andrea Cadeddu

Proceedings of the Advances in Robot Design and Intelligent Control, 2015

2014

Home automation systems and PMV classification for moderate confined environments.

Andrea Manuello Bertetto, Andrea Cadeddu, Gianni Niccolini, Lorenza Di Pilla, Roberto Ricciu

Proceedings of the 23rd International Conference on Robotics in Alpe-Adria-Danube Region, 2014