Giovanni Lonia

According to our database, Giovanni Lonia authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Data Fusion in Tele-Rehabilitation: Combining Cognitive and Motor Datasets to Train a Machine Learning Model for Assessing Patients' Outcomes.

Giovanni Lonia, Davide Ciraolo, Mirjam Bonanno, Rocco Salvatore Calabrò, Fabrizio Celesti, Maria Fazio, Massimo Villari, Antonio Celesti

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2025

Bi-view Embedding Fusion: A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data.

Rosario Napoli, Giovanni Lonia, Antonio Celesti, Massimo Villari, Maria Fazio

Proceedings of the Knowledge Graphs - 14th International Joint Conference, 2025

From Scratch to Large Pre-Trained Models: a Comparative Study for Medical Image Classification.

Giovanni Lonia, Davide Ciraolo, Fabrizio Celesti, Maria Fazio, Antonio Celesti

Proceedings of the 4th Italian Conference on Big Data and Data Science, 2025

Improving Public Transport Reliability with Multivariate LSTM-Based Delay Prediction.

Giovanni Lonia, Armando Ruggeri, Annamaria Ficara, Massimo Villari

Proceedings of the IEEE Symposium on Computers and Communications, 2025

Analysis on Parameters Influencing Non-Immersive Virtual Reality-Based Tele-Rehabilitation in Parkinson's Disease: an Exploratory Study.

Giovanni Lonia, Mirjam Bonanno, Rocco Salvatore Calabrò, Daniele Ravì, Maria Fazio, Massimo Villari, Antonio Celesti

Proceedings of the IEEE Symposium on Computers and Communications, 2025

2024

Comparing CNNs and ViTs for Medical Image Classification Leveraging Transfer Learning.

Giovanni Lonia, Davide Ciraolo, Maria Fazio, Massimo Villari, Antonio Celesti

Proceedings of the IEEE Symposium on Computers and Communications, 2024

Comparing CNN and ViT in both Centralised and Federated Learning Scenarios: a Pneumonia Diagnosis Case Study.

Giovanni Lonia, Davide Ciraolo, Maria Fazio, Fabrizio Celesti, Paolo Ruggeri, Massimo Villari, Antonio Celesti

Proceedings of the IEEE Symposium on Computers and Communications, 2024

Leveraging Audio Biomarkers for Enriching the Tele-Monitoring of Patients.

Antonio Celesti, Marco Dell'Acqua, Giovanni Lonia, Davide Ciraolo, Fabrizio Celesti, Maria Fazio, Massimo Villari, Mirjam Bonanno, Rocco Salvatore Calabrò

Proceedings of the IEEE Symposium on Computers and Communications, 2024