Luca Molinaro

According to our database, Luca Molinaro authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Comparison of Machine Learning Algorithms Fed with Mobility-Related and Baropodometric Measurements to Identify Temporomandibular Disorders.

Juri Taborri, Luca Molinaro, Luca Russo, Valerio Palmerini, Alin Larion, Stefano Rossi

Sensors, June, 2024

Say My Name: a Model's Bias Discovery Framework.

Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione

CoRR, 2024

2023

Measuring the Immediate Effects of High-Intensity Functional Training on Motor, Cognitive and Physiological Parameters in Well-Trained Adults.

Luca Molinaro, Juri Taborri, Denis Pauletto, Valentina Guerra, Damiano Molinaro, Giovanni Sicari, Antonello Regina, Enrico Guerra, Stefano Rossi

Sensors, 2023

Assessment of cognitive skills in karatekas pre-post technical training.

Luca Molinaro, Juri Taborri, Massimo Montecchiani, Stefano Rossi

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

Reliability analysis of an innovative technology for the assessment of spinal abnormalities.

Luca Molinaro, Luca Russo, Francesco Cubelli, Juri Taborri, Stefano Rossi

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

DelBERTo: A Deep Lightweight Transformer for Sentiment Analysis.

Luca Molinaro, Rosalia Tatano, Enrico Busto, Attilio Fiandrotti, Valerio Basile, Viviana Patti

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021

A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players.

Juri Taborri, Luca Molinaro, Adriano Santospagnuolo, Mario Vetrano, Maria Chiara Vulpiani, Stefano Rossi

Sensors, 2021

Sensor-Based Indices for the Prediction and Monitoring of Anterior Cruciate Ligament Injury: Reliability Analysis and a Case Study in Basketball.

Luca Molinaro, Juri Taborri, Adriano Santospagnuolo, Mario Vetrano, Maria Chiara Vulpiani, Stefano Rossi

Sensors, 2021

Automated assessment of glomerulosclerosis and tubular atrophy using deep learning.

Massimo Salvi, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Antonella Barreca, Mauro Papotti, Filippo Molinari

Comput. Medical Imaging Graph., 2021

A hybrid deep learning approach for gland segmentation in prostate histopathological images.

Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari

Artif. Intell. Medicine, 2021

Baropodometric analysis in different feet positions: reliability and repeatability evaluation.

Luca Molinaro, Juri Taborri, Stefano Rossi

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

2020

Assessing the Effects of Kata and Kumite Techniques on Physical Performance in Elite Karatekas.

Luca Molinaro, Juri Taborri, Massimo Montecchiani, Stefano Rossi

Sensors, 2020

Fully automated quantitative assessment of hepatic steatosis in liver transplants.

Massimo Salvi, Luca Molinaro, Jasna Metovic, Damiano Patrono, Renato Romagnoli, Mauro Papotti, Filippo Molinari

Comput. Biol. Medicine, 2020

Can the measurements of leg stability during jump landing predict and monitor anterior cruciate ligament injury? A case report of basketball player.

Luca Molinaro, Adriano Santospagnuolo, Maria Chiara Vulpiani, Juri Taborri, Mario Vetrano, Stefano Rossi

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020