RIELA, PAOLO MARCO
RIELA, PAOLO MARCO
Istituto di Scienze del Patrimonio Culturale - ISPC - Sede Secondaria Catania
A framework for cognitive chatbots based on abductive–deductive inference
2023 Longo, C. F.; Riela, P. M.; Santamaria, D. F.; Santoro, C.; Lieto, A.
Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study
2023 Maniaci, A.; Riela, P. M.; Iannella, G.; Lechien, J. R.; La Mantia, I.; De Vincentiis, M.; Cammaroto, G.; Calvo-Henriquez, C.; Di Luca, M.; Chiesa Estomba, C.; Saibene, A. M.; Pollicina, I.; Stilo, G.; Di Mauro, P.; Cannavicci, A.; Lugo, R.; Magliulo, G.; Greco, A.; Pace, A.; Meccariello, G.; Cocuzza, S.; Vicini, C.
Varenicline and counseling for vaping cessation: a double-blind, randomized, parallel-group, placebo-controlled trial
2023 Caponnetto, P.; Campagna, D.; Ahluwalia, J. S.; Russell, C.; Maglia, M.; Riela, P. M.; Longo, C. F.; Busa, B.; Polosa, R.
Varenicline for smoking cessation in individuals who smoke cigarettes and use electronic cigarettes: a double-blind, randomised, placebo-controlled phase 3 trial
2023 Caponnetto, P.; Spicuzza, L.; Campagna, D.; Ahluwalia, J. S.; Russell, C.; Maglia, M.; Riela, P. M.; Longo, C. F.; Caci, G.; Quattropani, M. C.; Signorelli, M. S.; Polosa, R.
A machine learning approach to predict healthcare-associated infections at intensive care unit admission: findings from the SPIN-UTI project
2021 Barchitta, M.; Maugeri, A.; Favara, G.; Riela, P. M.; Gallo, G.; Mura, I.; Agodi, A.
Abstracting Stone Walls for Visualization and Analysis
2021 Gallo, G.; Buscemi, F.; Ferro, M.; Figuera, M.; Riela, PAOLO MARCO
Cluster analysis identifies patients at risk of catheter-associated urinary tract infections in intensive care units: findings from the SPIN-UTI Network
2021 Barchitta, M.; Maugeri, A.; Favara, G.; Riela, P. M.; La Mastra, C.; La Rosa, M. C.; San Lio Magnano, R.; Gallo, G.; Mura, I.; Agodi, A.; SPIN-UTI, Network
Early Prediction of Seven-Day Mortality in Intensive Care Unit Using a Machine Learning Model: Results from the SPIN-UTI Project
2021 Barchitta, M.; Maugeri, A.; Favara, G.; Riela, P.; Gallo, G.; Mura, I.; Agodi, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A framework for cognitive chatbots based on abductive–deductive inference | 1-gen-2023 | Longo, C. F.; Riela, P. M.; Santamaria, D. F.; Santoro, C.; Lieto, A. | |
| Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study | 1-gen-2023 | Maniaci, A.; Riela, P. M.; Iannella, G.; Lechien, J. R.; La Mantia, I.; De Vincentiis, M.; Cammaroto, G.; Calvo-Henriquez, C.; Di Luca, M.; Chiesa Estomba, C.; Saibene, A. M.; Pollicina, I.; Stilo, G.; Di Mauro, P.; Cannavicci, A.; Lugo, R.; Magliulo, G.; Greco, A.; Pace, A.; Meccariello, G.; Cocuzza, S.; Vicini, C. | |
| Varenicline and counseling for vaping cessation: a double-blind, randomized, parallel-group, placebo-controlled trial | 1-gen-2023 | Caponnetto, P.; Campagna, D.; Ahluwalia, J. S.; Russell, C.; Maglia, M.; Riela, P. M.; Longo, C. F.; Busa, B.; Polosa, R. | |
| Varenicline for smoking cessation in individuals who smoke cigarettes and use electronic cigarettes: a double-blind, randomised, placebo-controlled phase 3 trial | 1-gen-2023 | Caponnetto, P.; Spicuzza, L.; Campagna, D.; Ahluwalia, J. S.; Russell, C.; Maglia, M.; Riela, P. M.; Longo, C. F.; Caci, G.; Quattropani, M. C.; Signorelli, M. S.; Polosa, R. | |
| A machine learning approach to predict healthcare-associated infections at intensive care unit admission: findings from the SPIN-UTI project | 1-gen-2021 | Barchitta, M.; Maugeri, A.; Favara, G.; Riela, P. M.; Gallo, G.; Mura, I.; Agodi, A. | |
| Abstracting Stone Walls for Visualization and Analysis | 1-gen-2021 | Gallo, G.; Buscemi, F.; Ferro, M.; Figuera, M.; Riela, PAOLO MARCO | |
| Cluster analysis identifies patients at risk of catheter-associated urinary tract infections in intensive care units: findings from the SPIN-UTI Network | 1-gen-2021 | Barchitta, M.; Maugeri, A.; Favara, G.; Riela, P. M.; La Mastra, C.; La Rosa, M. C.; San Lio Magnano, R.; Gallo, G.; Mura, I.; Agodi, A.; SPIN-UTI, Network | |
| Early Prediction of Seven-Day Mortality in Intensive Care Unit Using a Machine Learning Model: Results from the SPIN-UTI Project | 1-gen-2021 | Barchitta, M.; Maugeri, A.; Favara, G.; Riela, P.; Gallo, G.; Mura, I.; Agodi, A. |