CESARELLI, Mario
CESARELLI, Mario
DIPARTIMENTO DI INGEGNERIA
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks
2022-01-01 Donisi, L.; Cesarelli, G.; Capodaglio, E.; Panigazzi, M.; D'Addio, G.; Cesarelli, M.; Amato, F.
A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients
2022-01-01 Adamo, S.; Ambrosino, P.; Ricciardi, C.; Accardo, M.; Mosella, M.; Cesarelli, M.; D'Addio, G.; Maniscalco, M.
A Managerial Approach to Investigate Fall Risk in a Rehabilitation Hospital
2023-01-01 Cesarelli, G.; Petrelli, R.; Adamo, S.; Monce, O.; Ricciardi, C.; Cristallo, E.; Ruccia, M.; Cesarelli, M.
A Method for Ocular Disease Diagnosis through Visual Prediction Explainability
2024-01-01 Santone, A.; Cesarelli, M.; Colasuonno, E.; Bevilacqua, V.; Mercaldo., F.
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy
2023-01-01 Ricciardi, C.; Pisani, N.; Donisi, L.; Abate, F.; Amboni, M.; Barone, P.; Picillo, M.; Cesarelli, M.; Amato, F.
Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks
2024-01-01 Mercaldo, F.; Di Giammarco, M.; Ravelli, F.; Martinelli, F.; Santone, A.; Cesarelli, M.
An Explainable Method for Lung Cancer Detection and Localisation from Tissue Images through Convolutional Neural Networks
2024-01-01 Mercaldo, F.; Tibaldi, M. G.; Lombardi, L.; Brunese, L.; Santone, A.; Cesarelli, M.
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center
2020-01-01 Ricciardi, C.; Cantoni, V.; Improta, G.; Iuppariello, L.; Latessa, I.; Cesarelli, M.; Triassi, M.; Cuocolo, A.
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors
2024-01-01 Prisco, G.; Romano, M.; Esposito, F.; Cesarelli, M.; Santone, A.; Donisi, L.; Amato, F.
Colon cancer diagnosis by means of explainable deep learning
2024-01-01 Di Giammarco, M.; Martinelli, F.; Santone, A.; Cesarelli, M.; Mercaldo, F.
Design and validation of an e-textile-based wearable system for remote health monitoring
2021-01-01 Coccia, A.; Amitrano, F.; Donisi, L.; Cesarelli, G.; Pagano, G.; Cesarelli, M.; D'Addio, G.
Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks
2023-01-01 Mercaldo, F.; Di Giammarco, M.; Apicella, A.; Di Iadarola, G.; Cesarelli, M.; Martinelli, F.; Santone, A.
Effects of the school backpack on the kinematics of walking: Is a mechanical overload potentially causing musculoskeletal disorders in developmental age?
2020-01-01 D'Addio, G.; Donisi, L.; Pagano, G.; Mercogliano, L.; Cesarelli, M.; Cesarelli, G.
Evaluating Deep Learning Resilience in Retinal Fundus Classification with Generative Adversarial Networks Generated Images
2024-01-01 Di Giammarco, M.; Santone, A.; Cesarelli, M.; Martinelli, F.; Mercaldo, F.
Experimenting with Extreme Learning Machine for Biomedical Image Classification
2023-01-01 Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M.
Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation
2023-01-01 Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M.
Explainable Deep Learning for Face Mask Detection
2023-01-01 Cesarelli, M.; Iadarola, G.; Martinelli, F.; Mercaldo, F.; Santone, A.
Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study
2024-01-01 Mercaldo, F.; Brunese, L.; Santone, A.; Martinelli, F.; Cesarelli, M.
Fast track surgery for knee replacement surgery: a lean six sigma approach
2020-01-01 Ricciardi, C.; Balato, G.; Romano, M.; Santalucia, I.; Cesarelli, M.; Improta, G.
Gait Analysis in Progressive Supranuclear Palsy Phenotypes
2021-01-01 Picillo, M.; Ricciardi, C.; Tepedino, M. F.; Abate, F.; Cuoco, S.; Carotenuto, I.; Erro, R.; Ricciardelli, G.; Russo, M.; Cesarelli, M.; Barone, P.; Amboni, M.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks | 1-gen-2022 | Donisi, L.; Cesarelli, G.; Capodaglio, E.; Panigazzi, M.; D'Addio, G.; Cesarelli, M.; Amato, F. | |
A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients | 1-gen-2022 | Adamo, S.; Ambrosino, P.; Ricciardi, C.; Accardo, M.; Mosella, M.; Cesarelli, M.; D'Addio, G.; Maniscalco, M. | |
A Managerial Approach to Investigate Fall Risk in a Rehabilitation Hospital | 1-gen-2023 | Cesarelli, G.; Petrelli, R.; Adamo, S.; Monce, O.; Ricciardi, C.; Cristallo, E.; Ruccia, M.; Cesarelli, M. | |
A Method for Ocular Disease Diagnosis through Visual Prediction Explainability | 1-gen-2024 | Santone, A.; Cesarelli, M.; Colasuonno, E.; Bevilacqua, V.; Mercaldo., F. | |
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy | 1-gen-2023 | Ricciardi, C.; Pisani, N.; Donisi, L.; Abate, F.; Amboni, M.; Barone, P.; Picillo, M.; Cesarelli, M.; Amato, F. | |
Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks | 1-gen-2024 | Mercaldo, F.; Di Giammarco, M.; Ravelli, F.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
An Explainable Method for Lung Cancer Detection and Localisation from Tissue Images through Convolutional Neural Networks | 1-gen-2024 | Mercaldo, F.; Tibaldi, M. G.; Lombardi, L.; Brunese, L.; Santone, A.; Cesarelli, M. | |
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center | 1-gen-2020 | Ricciardi, C.; Cantoni, V.; Improta, G.; Iuppariello, L.; Latessa, I.; Cesarelli, M.; Triassi, M.; Cuocolo, A. | |
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors | 1-gen-2024 | Prisco, G.; Romano, M.; Esposito, F.; Cesarelli, M.; Santone, A.; Donisi, L.; Amato, F. | |
Colon cancer diagnosis by means of explainable deep learning | 1-gen-2024 | Di Giammarco, M.; Martinelli, F.; Santone, A.; Cesarelli, M.; Mercaldo, F. | |
Design and validation of an e-textile-based wearable system for remote health monitoring | 1-gen-2021 | Coccia, A.; Amitrano, F.; Donisi, L.; Cesarelli, G.; Pagano, G.; Cesarelli, M.; D'Addio, G. | |
Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks | 1-gen-2023 | Mercaldo, F.; Di Giammarco, M.; Apicella, A.; Di Iadarola, G.; Cesarelli, M.; Martinelli, F.; Santone, A. | |
Effects of the school backpack on the kinematics of walking: Is a mechanical overload potentially causing musculoskeletal disorders in developmental age? | 1-gen-2020 | D'Addio, G.; Donisi, L.; Pagano, G.; Mercogliano, L.; Cesarelli, M.; Cesarelli, G. | |
Evaluating Deep Learning Resilience in Retinal Fundus Classification with Generative Adversarial Networks Generated Images | 1-gen-2024 | Di Giammarco, M.; Santone, A.; Cesarelli, M.; Martinelli, F.; Mercaldo, F. | |
Experimenting with Extreme Learning Machine for Biomedical Image Classification | 1-gen-2023 | Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation | 1-gen-2023 | Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
Explainable Deep Learning for Face Mask Detection | 1-gen-2023 | Cesarelli, M.; Iadarola, G.; Martinelli, F.; Mercaldo, F.; Santone, A. | |
Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study | 1-gen-2024 | Mercaldo, F.; Brunese, L.; Santone, A.; Martinelli, F.; Cesarelli, M. | |
Fast track surgery for knee replacement surgery: a lean six sigma approach | 1-gen-2020 | Ricciardi, C.; Balato, G.; Romano, M.; Santalucia, I.; Cesarelli, M.; Improta, G. | |
Gait Analysis in Progressive Supranuclear Palsy Phenotypes | 1-gen-2021 | Picillo, M.; Ricciardi, C.; Tepedino, M. F.; Abate, F.; Cuoco, S.; Carotenuto, I.; Erro, R.; Ricciardelli, G.; Russo, M.; Cesarelli, M.; Barone, P.; Amboni, M. |