Sfoglia per Autore
Deep convolutional neural network for automatic detection of damaged photovoltaic cells
2018-01-01 Pierdicca, R.; Malinverni, E. S.; Piccinini, Fabio; Paolanti, M.; Felicetti, A.; Zingaretti, P.
Machine Learning approach for Predictive Maintenance in Industry 4.0
2018-01-01 Paolanti, M.; Romeo, L.; Felicetti, A.; Mancini, A.; Frontoni, E.; Loncarski, J.
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection
2018-01-01 Paolanti, Marina; Romeo, Luca; Liciotti, Daniele; Pietrini, Rocco; Cenci, Annalisa; Frontoni, Emanuele; Zingaretti, Primo
Pattern Recognition for challenging Computer Vision Applications
2018-03-26 Paolanti, Marina
Semantic 3D Object Maps for Everyday Robotic Retail Inspection
2019-01-01 Paolanti, M.; Pierdicca, R.; Martini, M.; Di Stefano, F.; Morbidoni, C.; Mancini, A.; Malinverni, E. S.; Frontoni, E.; Zingaretti, P.
Identifying the use of a park based on clusters of visitors' movements from mobile phone data
2019-01-01 Pierdicca, R.; Paolanti, M.; Vaira, R.; Marcheggiani, E.; Malinverni, E. S.; Frontoni, E.
People Counting in Crowded Environment and Re-identification
2019-01-01 Frontoni, Emanuele; Paolanti, Marina; Pietrini, Rocco
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment
2019-01-01 Pietrini, R.; Liciotti, D.; Paolanti, M.; Frontoni, E.; Zingaretti, P.
An event based machine learning framework for predictive maintenance in industry 4.0
2019-01-01 Calabrese, M.; Cimmino, M.; Manfrin, M.; Fiume, F.; Kapetis, D.; Mengoni, M.; Ceccacci, S.; Frontoni, E.; Paolanti, M.; Carrotta, A.; Toscano, G.
Automatic generation of point cloud synthetic dataset for historical building representation
2019-01-01 Pierdicca, R.; Mameli, Marco; Malinverni, E. S.; Paolanti, M.; Frontoni, E.
Measuring and Assessing Augmented Reality Potential for Educational Purposes: SmartMarca Project
2019-01-01 Frontoni, E.; Paolanti, M.; Puggioni, M.; Pierdicca, R.; Sasso, M.
Learning-Based Screening of Endothelial Dysfunction From Photoplethysmographic Signals
2019-01-01 Calamanti, Chiara; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Frontoni, Emanuele
IoT and engagement in the ubiquitous museum
2019-01-01 Pierdicca, R.; Marques-Pita, M.; Paolanti, M.; Malinverni, E. S.
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
2019-01-01 Romeo, L.; Loncarski, J.; Paolanti, M.; Bocchini, G.; Mancini, A.; Frontoni, E.
Robotic retail surveying by deep learning visual and textual data
2019-01-01 Paolanti, M.; Romeo, L.; Martini, M.; Mancini, A.; Frontoni, E.; Zingaretti, P.
A business application of RTLS technology in Intelligent Retail Environment: Defining the shopper's preferred path and its segmentation
2019-01-01 Ferracuti, N.; Norscini, Claudia; Frontoni, E.; Gabellini, Patrizia; Paolanti, M.; Placidi, V.
Visual and textual sentiment analysis of daily news social media images by deep learning
2019-01-01 Felicetti, A.; Martini, M.; Paolanti, M.; Pierdicca, R.; Frontoni, E.; Zingaretti, P.
DEEP LEARNING for SEMANTIC SEGMENTATION of 3D POINT CLOUD
2019-01-01 Malinverni, E. S.; Pierdicca, R.; Paolanti, M.; Martini, Massimo; Morbidoni, C.; Matrone, F.; Lingua, A.
An innovative design support system for industry 4.0 based on machine learning approaches
2019-01-01 Romeo, L.; Paolanti, M.; Bocchini, G.; Loncarski, J.; Frontoni, E.
Sharing health data among general practitioners: The Nu.Sa. project
2019-01-01 Frontoni, Emanuele; Mancini, Adriano; Baldi, Marco; Paolanti, Marina; Moccia, Sara; Zingaretti, Primo; Landro, Vincenzo; Misericordia, Paolo
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Deep convolutional neural network for automatic detection of damaged photovoltaic cells | 1-gen-2018 | Pierdicca, R.; Malinverni, E. S.; Piccinini, Fabio; Paolanti, M.; Felicetti, A.; Zingaretti, P. | |
Machine Learning approach for Predictive Maintenance in Industry 4.0 | 1-gen-2018 | Paolanti, M.; Romeo, L.; Felicetti, A.; Mancini, A.; Frontoni, E.; Loncarski, J. | |
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection | 1-gen-2018 | Paolanti, Marina; Romeo, Luca; Liciotti, Daniele; Pietrini, Rocco; Cenci, Annalisa; Frontoni, Emanuele; Zingaretti, Primo | |
Pattern Recognition for challenging Computer Vision Applications | 26-mar-2018 | Paolanti, Marina | |
Semantic 3D Object Maps for Everyday Robotic Retail Inspection | 1-gen-2019 | Paolanti, M.; Pierdicca, R.; Martini, M.; Di Stefano, F.; Morbidoni, C.; Mancini, A.; Malinverni, E. S.; Frontoni, E.; Zingaretti, P. | |
Identifying the use of a park based on clusters of visitors' movements from mobile phone data | 1-gen-2019 | Pierdicca, R.; Paolanti, M.; Vaira, R.; Marcheggiani, E.; Malinverni, E. S.; Frontoni, E. | |
People Counting in Crowded Environment and Re-identification | 1-gen-2019 | Frontoni, Emanuele; Paolanti, Marina; Pietrini, Rocco | |
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment | 1-gen-2019 | Pietrini, R.; Liciotti, D.; Paolanti, M.; Frontoni, E.; Zingaretti, P. | |
An event based machine learning framework for predictive maintenance in industry 4.0 | 1-gen-2019 | Calabrese, M.; Cimmino, M.; Manfrin, M.; Fiume, F.; Kapetis, D.; Mengoni, M.; Ceccacci, S.; Frontoni, E.; Paolanti, M.; Carrotta, A.; Toscano, G. | |
Automatic generation of point cloud synthetic dataset for historical building representation | 1-gen-2019 | Pierdicca, R.; Mameli, Marco; Malinverni, E. S.; Paolanti, M.; Frontoni, E. | |
Measuring and Assessing Augmented Reality Potential for Educational Purposes: SmartMarca Project | 1-gen-2019 | Frontoni, E.; Paolanti, M.; Puggioni, M.; Pierdicca, R.; Sasso, M. | |
Learning-Based Screening of Endothelial Dysfunction From Photoplethysmographic Signals | 1-gen-2019 | Calamanti, Chiara; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Frontoni, Emanuele | |
IoT and engagement in the ubiquitous museum | 1-gen-2019 | Pierdicca, R.; Marques-Pita, M.; Paolanti, M.; Malinverni, E. S. | |
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0 | 1-gen-2019 | Romeo, L.; Loncarski, J.; Paolanti, M.; Bocchini, G.; Mancini, A.; Frontoni, E. | |
Robotic retail surveying by deep learning visual and textual data | 1-gen-2019 | Paolanti, M.; Romeo, L.; Martini, M.; Mancini, A.; Frontoni, E.; Zingaretti, P. | |
A business application of RTLS technology in Intelligent Retail Environment: Defining the shopper's preferred path and its segmentation | 1-gen-2019 | Ferracuti, N.; Norscini, Claudia; Frontoni, E.; Gabellini, Patrizia; Paolanti, M.; Placidi, V. | |
Visual and textual sentiment analysis of daily news social media images by deep learning | 1-gen-2019 | Felicetti, A.; Martini, M.; Paolanti, M.; Pierdicca, R.; Frontoni, E.; Zingaretti, P. | |
DEEP LEARNING for SEMANTIC SEGMENTATION of 3D POINT CLOUD | 1-gen-2019 | Malinverni, E. S.; Pierdicca, R.; Paolanti, M.; Martini, Massimo; Morbidoni, C.; Matrone, F.; Lingua, A. | |
An innovative design support system for industry 4.0 based on machine learning approaches | 1-gen-2019 | Romeo, L.; Paolanti, M.; Bocchini, G.; Loncarski, J.; Frontoni, E. | |
Sharing health data among general practitioners: The Nu.Sa. project | 1-gen-2019 | Frontoni, Emanuele; Mancini, Adriano; Baldi, Marco; Paolanti, Marina; Moccia, Sara; Zingaretti, Primo; Landro, Vincenzo; Misericordia, Paolo |
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