Sfoglia per ???browse.type.metadata.subjectIsicrui???
M2M communications for intraoral sensors: A wireless communications perspective
2015-01-01 Sannino, G; Cianca, E; Hamitouche, C; Ruggieri, M
Machine learning and reduced order modelling for the simulation of braided stent deployment
2023-01-01 Bisighini, B; Aguirre, M; Biancolini, Me; Trovalusci, F; Perrin, D; Avril, S; Pierrat, B
A machine learning approach for forecasting hierarchical time series
2021-01-01 Mancuso, P; Piccialli, V; Sudoso, A
Machine learning based voice analysis in spasmodic dysphonia: an investigation of most relevant features from specific vocal tasks
2021-01-01 Costantini, G; Leo, Pd; Asci, F; Zarezadeh, Z; Marsili, L; Errico, V; Suppa, A; Saggio, G
Machine learning discriminates voice tremor in essential tremor and dysphonia
2021-01-01 Asci, F; Di Leo, P; Ruoppolo, G; Saggio, G; Costantini, G; Berardelli, A; Suppa, A
Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud
2015-06-01 Di Sanzo, P; Pellegrini, A; Avresky, Dr
Machine learning microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for red blood cell plasticity evaluation in Pyruvate Kinase Disease monitoring
2023-01-01 Mencattini, A; Rizzuto, V; Antonelli, G; Di Giuseppe, D; D'Orazio, M; Filippi, J; Comes, Mc; Casti, P; Vives Corrons, Jl; Garcia-Bravo, M; Segovia, Jc; del Mar Manu-Pereira, M; Lopez-Martinez, Mj; Samitier, J; Martinelli, E
Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response
2022-01-01 D'Orazio, M; Murdocca, M; Mencattini, A; Casti, P; Filippi, J; Antonelli, G; Di Giuseppe, D; Comes, Mc; Di Natale, C; Sangiuolo, F; Martinelli, E
Machine learning technologies for the requirements analysis in complex systems
2012-07-01 Nardini, M; Ciambra, F; Garzoli, F; Croce, D; DE CAO, D; Basili, R
Machine Learning with Wearable RFID Grid for Monitoring Fetal Movements
2023-01-01 Bianco, Gm; Bedotti, V; Amendola, S; Marrocco, G; Occhiuzzi, C
Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey.
2023-01-01 Amato, F; Saggio, G; Cesarini, V; Olmo, G; Costantini, G
Machine Learning-based Elastic Cloud Resource Provisioning in the Solvency II Framework
2016-06-01 La Rizza, A; Casarano, G; Castellani, G; Ciciani, B; Passalacqua, L; Pellegrini, A
A Machine Learning-based Framework for Building Application Failure Prediction Models
2015-05-01 Pellegrini, A; Di Sanzo, P; Avresky, Dr
Machine learning-based management of cloud applications in hybrid clouds: A Hadoop case study
2017-10-01 Avresky, Dr; Pellegrini, A; Di Sanzo, P
Machine Learning-based Study of Dysphonic Voices for the Identification and Differentiation of Vocal Cord Paralysis and Vocal Nodules
2022-01-01 Cesarini, V; Robotti, C; Piromalli, Y; Mozzanica, F; Schindler, A; Saggio, G; Costantini, G
Machine learning-based thread-parallelism regulation in software transactional memory
2017-01-01 Rughetti, D; Disanzo, P; Ciciani, B; Quaglia, F
A machine learning-based voice analysis for the detection of dysphagia biomarkers
2021-01-01 Cesarini, V; Casiddu, N; Porfirione, C; Massazza, G; Saggio, G; Costantini, G
Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients
2021-01-01 Robotti, C; Costantini, G; Saggio, G; Cesarini, V; Calastri, A; Maiorano, E; Piloni, D; Perrone, T; Sabatini, U; Ferretti, Vv; Cassaniti, I; Baldanti, F; Gravina, A; Sakib, A; Alessi, E; Pascucci, M; Casali, D; Zarezadeh, Z; Zoppo, Vd; Pisani, A; Benazzo, M
Machine learning-enabled high-speed impedance cytometry
2020-01-01 Caselli, F; de Ninno, A; Reale, R; Businaro, L; Bisegna, P
Machine-learning analysis of voice samples recorded through smartphones: the combined effect of ageing and gender
2020-01-01 Asci, F; Costantini, G; Di Leo, P; Zampogna, A; Ruoppolo, G; Berardelli, A; Saggio, G; Suppa, A
Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
---|---|---|---|---|
1-gen-2015 | M2M communications for intraoral sensors: A wireless communications perspective | Sannino, G; Cianca, E; Hamitouche, C; Ruggieri, M | Contributo in libro | |
1-gen-2023 | Machine learning and reduced order modelling for the simulation of braided stent deployment | Bisighini, B; Aguirre, M; Biancolini, Me; Trovalusci, F; Perrin, D; Avril, S; Pierrat, B | Articolo su rivista | |
1-gen-2021 | A machine learning approach for forecasting hierarchical time series | Mancuso, P; Piccialli, V; Sudoso, A | Articolo su rivista | |
1-gen-2021 | Machine learning based voice analysis in spasmodic dysphonia: an investigation of most relevant features from specific vocal tasks | Costantini, G; Leo, Pd; Asci, F; Zarezadeh, Z; Marsili, L; Errico, V; Suppa, A; Saggio, G | Intervento a convegno | |
1-gen-2021 | Machine learning discriminates voice tremor in essential tremor and dysphonia | Asci, F; Di Leo, P; Ruoppolo, G; Saggio, G; Costantini, G; Berardelli, A; Suppa, A | Articolo su rivista | |
1-giu-2015 | Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud | Di Sanzo, P; Pellegrini, A; Avresky, Dr | Intervento a convegno | |
1-gen-2023 | Machine learning microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for red blood cell plasticity evaluation in Pyruvate Kinase Disease monitoring | Mencattini, A; Rizzuto, V; Antonelli, G; Di Giuseppe, D; D'Orazio, M; Filippi, J; Comes, Mc; Casti, P; Vives Corrons, Jl; Garcia-Bravo, M; Segovia, Jc; del Mar Manu-Pereira, M; Lopez-Martinez, Mj; Samitier, J; Martinelli, E | Articolo su rivista | |
1-gen-2022 | Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response | D'Orazio, M; Murdocca, M; Mencattini, A; Casti, P; Filippi, J; Antonelli, G; Di Giuseppe, D; Comes, Mc; Di Natale, C; Sangiuolo, F; Martinelli, E | Articolo su rivista | |
1-lug-2012 | Machine learning technologies for the requirements analysis in complex systems | Nardini, M; Ciambra, F; Garzoli, F; Croce, D; DE CAO, D; Basili, R | Intervento a convegno | |
1-gen-2023 | Machine Learning with Wearable RFID Grid for Monitoring Fetal Movements | Bianco, Gm; Bedotti, V; Amendola, S; Marrocco, G; Occhiuzzi, C | Intervento a convegno | |
1-gen-2023 | Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey. | Amato, F; Saggio, G; Cesarini, V; Olmo, G; Costantini, G | Articolo su rivista | |
1-giu-2016 | Machine Learning-based Elastic Cloud Resource Provisioning in the Solvency II Framework | La Rizza, A; Casarano, G; Castellani, G; Ciciani, B; Passalacqua, L; Pellegrini, A | Intervento a convegno | |
1-mag-2015 | A Machine Learning-based Framework for Building Application Failure Prediction Models | Pellegrini, A; Di Sanzo, P; Avresky, Dr | Intervento a convegno | |
1-ott-2017 | Machine learning-based management of cloud applications in hybrid clouds: A Hadoop case study | Avresky, Dr; Pellegrini, A; Di Sanzo, P | Intervento a convegno | |
1-gen-2022 | Machine Learning-based Study of Dysphonic Voices for the Identification and Differentiation of Vocal Cord Paralysis and Vocal Nodules | Cesarini, V; Robotti, C; Piromalli, Y; Mozzanica, F; Schindler, A; Saggio, G; Costantini, G | Intervento a convegno | |
1-gen-2017 | Machine learning-based thread-parallelism regulation in software transactional memory | Rughetti, D; Disanzo, P; Ciciani, B; Quaglia, F | Articolo su rivista | |
1-gen-2021 | A machine learning-based voice analysis for the detection of dysphagia biomarkers | Cesarini, V; Casiddu, N; Porfirione, C; Massazza, G; Saggio, G; Costantini, G | Intervento a convegno | |
1-gen-2021 | Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients | Robotti, C; Costantini, G; Saggio, G; Cesarini, V; Calastri, A; Maiorano, E; Piloni, D; Perrone, T; Sabatini, U; Ferretti, Vv; Cassaniti, I; Baldanti, F; Gravina, A; Sakib, A; Alessi, E; Pascucci, M; Casali, D; Zarezadeh, Z; Zoppo, Vd; Pisani, A; Benazzo, M | Articolo su rivista | |
1-gen-2020 | Machine learning-enabled high-speed impedance cytometry | Caselli, F; de Ninno, A; Reale, R; Businaro, L; Bisegna, P | Intervento a convegno | |
1-gen-2020 | Machine-learning analysis of voice samples recorded through smartphones: the combined effect of ageing and gender | Asci, F; Costantini, G; Di Leo, P; Zampogna, A; Ruoppolo, G; Berardelli, A; Saggio, G; Suppa, A | Articolo su rivista |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile