Sfoglia per Titolo
Machine Learning for Detection of Muscular Activity from Surface EMG Signals
2022-01-01 Di Nardo, Francesco; Nocera, Antonio; Cucchiarelli, Alessandro; Fioretti, Sandro; Morbidoni, Christian
Machine learning for predicting levetiracetam treatment response in temporal lobe epilepsy
2021-01-01 Croce, P.; Ricci, L.; Pulitano, P.; Boscarino, M.; Zappasodi, F.; Lanzone, J.; Narducci, F.; Mecarelli, O.; Di Lazzaro, V.; Tombini, M.; Assenza, G.
Machine learning identifies phenotypic profile alterations of human dopaminergic neurons exposed to bisphenols and perfluoroalkyls
2023-01-01 Di Credico, Andrea; Weiss, Amélie; Corsini, Massimo; Gaggi, Giulia; Ghinassi, Barbara; Wilbertz, Johannes H; Di Baldassarre, Angela
Machine learning improves mortality risk prediction after cardiac surgery: systematic review and meta-analysis
2022-01-01 Benedetto, Umberto; Dimagli, Arnaldo; Sinha, Shubhra; Cocomello, Lucia; Gibbison, Ben; Caputo, Massimo; Gaunt, Tom; Lyon, Matt; Holmes, Chris; (Gianni D), Angelini
Machine learning in clinical and epidemiological research: Isn't it time for biostatisticians to work on it?
2019-01-01 Azzolina, D.; Baldi, I.; Barbati, G.; Berchialla, P.; Bottigliengo, D.; Bucci, A.; Calza, S.; Dolce, P.; Edefonti, V.; Faragalli, A.; Fiorito, G.; Gandin, I.; Giudici, F.; Gregori, D.; Gregorio, C.; Ieva, F.; Lanera, C.; Lorenzoni, G.; Marchioni, M.; Milanese, A.; Ricotti, A.; Sciannameo, V.; Solinas, G.; Vezzoli, M.
Machine learning item selection for short scale construction: A proof-of-concept using the SIMS
2022-01-01 Orrù, Graziella; De Marchi, Barbara; Sartori, Giuseppe; Gemignani, Angelo; Scarpazza, Cristina; Monaro, Merylin; Mazza, Cristina; Roma, Paolo
Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage
2022-01-01 Trevisi, G.; Caccavella, V. M.; Scerrati, A.; Signorelli, F.; Salamone, G. G.; Orsini, K.; Fasciani, C.; D'Arrigo, S.; Auricchio, A. M.; D'Onofrio, G.; Salomi, F.; Albanese, A.; De Bonis, P.; Mangiola, A.; Sturiale, C. L.
Machine learning models for ecological footprint prediction based on energy parameters
2021-01-01 Jankovic, R.; Mihajlovic, I.; Strbac, N.; Amelio, A.
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
2021-01-01 Mamandipoor, Behrooz; Frutos-Vivar, Fernando; Peñuelas, Oscar; Rezar, Richard; Raymondos, Konstantinos; Muriel, Alfonso; Du, Bin; Thille, Arnaud W; Ríos, Fernando; González, Marco; Del-Sorbo, Lorenzo; Del Carmen Marín, Maria; Pinheiro, Bruno Valle; Soares, Marco Antonio; Nin, Nicolas; Maggiore, Salvatore M; Bersten, Andrew; Kelm, Malte; Bruno, Raphael Romano; Amin, Pravin; Cakar, Nahit; Suh, Gee Young; Abroug, Fekri; Jibaja, Manuel; Matamis, Dimitros; Zeggwagh, Amine Ali; Sutherasan, Yuda; Anzueto, Antonio; Wernly, Bernhard; Esteban, Andrés; Jung, Christian; Osmani, Venet
Machine Learning Techniques on X-ray Images for Covid-19 Classification
2022-01-01 Caroprese, L.; Vocaturo, E.; Zumpano, E.
Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson’s Disease: A Study on Speaker Diarization and Classification Techniques
2024-01-01 Di Cesare, M. G.; Perpetuini, D.; Cardone, D.; Merla, A.
A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer's Disease Spectrum
2021-01-01 Massetti, Noemi; Russo, Mirella; Franciotti, Raffaella; Nardini, Davide; Mandolini, Giorgio; Granzotto, Alberto; Bomba, Manuela; Delli Pizzi, Stefano; Mosca, Alessandra; Scherer, Reinhold; Onofrj, Marco; Sensi, Stefano L
Machine-Learning-Based Prediction of Gait Events From EMG in Cerebral Palsy Children
2021-01-01 Morbidoni, C.; Cucchiarelli, A.; Agostini, V.; Knaflitz, M.; Fioretti, S.; Di Nardo, F.
Machined and sandblasted human dental implants retrieved after 5 years: a histologic and histomorphometric analysis of three cases
2012-01-01 Iezzi, Giovanna; Vantaggiato, G; Shibli, Ja; Fiera, E; Falco, A; Piattelli, Adriano; Perrotti, Vittoria
The MaChro Form: a new automatic tool for the survey and seismic vulnerability assessment of churches
2017-01-01 DE MATTEIS, Gianfranco; Brando, Giuseppe; Cianhino, Giorgia; Corlito, Valentina; Criber, Emanuela
MacIntyre: Thomistic Aristotelianism or Aristotelian Thomism?
2014-01-01 DELLA PELLE, Piergiorgio
Maciste non è un travoltino: attori e personaggi cinematografici nelle formazioni deonimiche
2008-01-01 Picchiorri, Emiliano
Macrinum
2018-01-01 Menozzi, Oliva
Macro e micro mutamenti sociali
2014-01-01 Fornari, Fabrizio
Macro- and meso-scale structural criteria for identifying pre-thrusting normal faults within foreland fold-and-thrust belts: Insights from the Central-Northern Apennines (Italy)
2018-01-01 Calamita, Fernando; Di Domenica, Alessandra; Pace, Paolo
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Machine Learning for Detection of Muscular Activity from Surface EMG Signals | 2022 | Di Nardo, Francesco; Nocera, Antonio; Cucchiarelli, Alessandro; Fioretti, Sandro; Morbidoni, Christian | |
Machine learning for predicting levetiracetam treatment response in temporal lobe epilepsy | 2021 | Croce, P.; Ricci, L.; Pulitano, P.; Boscarino, M.; Zappasodi, F.; Lanzone, J.; Narducci, F.; Mecarelli, O.; Di Lazzaro, V.; Tombini, M.; Assenza, G. | |
Machine learning identifies phenotypic profile alterations of human dopaminergic neurons exposed to bisphenols and perfluoroalkyls | 2023 | Di Credico, Andrea; Weiss, Amélie; Corsini, Massimo; Gaggi, Giulia; Ghinassi, Barbara; Wilbertz, Johannes H; Di Baldassarre, Angela | |
Machine learning improves mortality risk prediction after cardiac surgery: systematic review and meta-analysis | 2022 | Benedetto, Umberto; Dimagli, Arnaldo; Sinha, Shubhra; Cocomello, Lucia; Gibbison, Ben; Caputo, Massimo; Gaunt, Tom; Lyon, Matt; Holmes, Chris; (Gianni D), Angelini | |
Machine learning in clinical and epidemiological research: Isn't it time for biostatisticians to work on it? | 2019 | Azzolina, D.; Baldi, I.; Barbati, G.; Berchialla, P.; Bottigliengo, D.; Bucci, A.; Calza, S.; Dolce, P.; Edefonti, V.; Faragalli, A.; Fiorito, G.; Gandin, I.; Giudici, F.; Gregori, D.; Gregorio, C.; Ieva, F.; Lanera, C.; Lorenzoni, G.; Marchioni, M.; Milanese, A.; Ricotti, A.; Sciannameo, V.; Solinas, G.; Vezzoli, M. | |
Machine learning item selection for short scale construction: A proof-of-concept using the SIMS | 2022 | Orrù, Graziella; De Marchi, Barbara; Sartori, Giuseppe; Gemignani, Angelo; Scarpazza, Cristina; Monaro, Merylin; Mazza, Cristina; Roma, Paolo | |
Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage | 2022 | Trevisi, G.; Caccavella, V. M.; Scerrati, A.; Signorelli, F.; Salamone, G. G.; Orsini, K.; Fasciani, C.; D'Arrigo, S.; Auricchio, A. M.; D'Onofrio, G.; Salomi, F.; Albanese, A.; De Bonis, P.; Mangiola, A.; Sturiale, C. L. | |
Machine learning models for ecological footprint prediction based on energy parameters | 2021 | Jankovic, R.; Mihajlovic, I.; Strbac, N.; Amelio, A. | |
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation | 2021 | Mamandipoor, Behrooz; Frutos-Vivar, Fernando; Peñuelas, Oscar; Rezar, Richard; Raymondos, Konstantinos; Muriel, Alfonso; Du, Bin; Thille, Arnaud W; Ríos, Fernando; González, Marco; Del-Sorbo, Lorenzo; Del Carmen Marín, Maria; Pinheiro, Bruno Valle; Soares, Marco Antonio; Nin, Nicolas; Maggiore, Salvatore M; Bersten, Andrew; Kelm, Malte; Bruno, Raphael Romano; Amin, Pravin; Cakar, Nahit; Suh, Gee Young; Abroug, Fekri; Jibaja, Manuel; Matamis, Dimitros; Zeggwagh, Amine Ali; Sutherasan, Yuda; Anzueto, Antonio; Wernly, Bernhard; Esteban, Andrés; Jung, Christian; Osmani, Venet | |
Machine Learning Techniques on X-ray Images for Covid-19 Classification | 2022 | Caroprese, L.; Vocaturo, E.; Zumpano, E. | |
Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson’s Disease: A Study on Speaker Diarization and Classification Techniques | 2024 | Di Cesare, M. G.; Perpetuini, D.; Cardone, D.; Merla, A. | |
A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer's Disease Spectrum | 2021 | Massetti, Noemi; Russo, Mirella; Franciotti, Raffaella; Nardini, Davide; Mandolini, Giorgio; Granzotto, Alberto; Bomba, Manuela; Delli Pizzi, Stefano; Mosca, Alessandra; Scherer, Reinhold; Onofrj, Marco; Sensi, Stefano L | |
Machine-Learning-Based Prediction of Gait Events From EMG in Cerebral Palsy Children | 2021 | Morbidoni, C.; Cucchiarelli, A.; Agostini, V.; Knaflitz, M.; Fioretti, S.; Di Nardo, F. | |
Machined and sandblasted human dental implants retrieved after 5 years: a histologic and histomorphometric analysis of three cases | 2012 | Iezzi, Giovanna; Vantaggiato, G; Shibli, Ja; Fiera, E; Falco, A; Piattelli, Adriano; Perrotti, Vittoria | |
The MaChro Form: a new automatic tool for the survey and seismic vulnerability assessment of churches | 2017 | DE MATTEIS, Gianfranco; Brando, Giuseppe; Cianhino, Giorgia; Corlito, Valentina; Criber, Emanuela | |
MacIntyre: Thomistic Aristotelianism or Aristotelian Thomism? | 2014 | DELLA PELLE, Piergiorgio | |
Maciste non è un travoltino: attori e personaggi cinematografici nelle formazioni deonimiche | 2008 | Picchiorri, Emiliano | |
Macrinum | 2018 | Menozzi, Oliva | |
Macro e micro mutamenti sociali | 2014 | Fornari, Fabrizio | |
Macro- and meso-scale structural criteria for identifying pre-thrusting normal faults within foreland fold-and-thrust belts: Insights from the Central-Northern Apennines (Italy) | 2018 | Calamita, Fernando; Di Domenica, Alessandra; Pace, Paolo |
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