Marina Paolanti
Marina Paolanti
Assistant Professor, University of Macerata, VRAI Lab
Email verificata su - Home page
Citata da
Citata da
Machine learning approach for predictive maintenance in industry 4.0
M Paolanti, L Romeo, A Felicetti, A Mancini, E Frontoni, J Loncarski
2018 14th IEEE/ASME International Conference on Mechatronic and Embeddedá…, 2018
R Pierdicca, ES Malinverni, F Piccinini, M Paolanti, A Felicetti, P Zingaretti
International Archives of the Photogrammetry, Remote Sensing & Spatialá…, 2018
Point cloud semantic segmentation using a deep learning framework for cultural heritage
R Pierdicca, M Paolanti, F Matrone, M Martini, C Morbidoni, ES Malinverni, ...
Remote Sensing 12 (6), 1005, 2020
eTourism: ICT and its role for tourism management
R Pierdicca, M Paolanti, E Frontoni
Journal of Hospitality and Tourism Technology, 2019
Person re-identification dataset with rgb-d camera in a top-view configuration
D Liciotti, M Paolanti, E Frontoni, A Mancini, P Zingaretti
Video Analytics. Face and Facial Expression Recognition and Audienceá…, 2016
Automatic analysis of eye-tracking data for augmented reality applications: A prospective outlook
S Naspetti, R Pierdicca, S Mandolesi, M Paolanti, E Frontoni, R Zanoli
International Conference on Augmented Reality, Virtual Reality and Computerá…, 2016
Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning
M Paolanti, M Sturari, A Mancini, P Zingaretti, E Frontoni
2017 European Conference on Mobile Robots (ECMR), 1-6, 2017
Convolutional networks for semantic heads segmentation using top-view depth data in crowded environment
D Liciotti, M Paolanti, R Pietrini, E Frontoni, P Zingaretti
2018 24th international conference on pattern recognition (ICPR), 1384-1389, 2018
Modelling and forecasting customer navigation in intelligent retail environments
M Paolanti, D Liciotti, R Pietrini, A Mancini, E Frontoni
Journal of Intelligent & Robotic Systems 91 (2), 165-180, 2018
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
L Romeo, J Loncarski, M Paolanti, G Bocchini, A Mancini, E Frontoni
Expert Systems with Applications 140, 112869, 2020
A business application of RTLS technology in Intelligent Retail Environment: Defining the shopper's preferred path and its segmentation
N Ferracuti, C Norscini, E Frontoni, P Gabellini, M Paolanti, V Placidi
Journal of Retailing and Consumer Services 47, 184-194, 2019
Robotic retail surveying by deep learning visual and textual data
M Paolanti, L Romeo, M Martini, A Mancini, E Frontoni, P Zingaretti
Robotics and Autonomous Systems 118, 179-188, 2019
People detection and tracking from an RGB-D camera in top-view configuration: review of challenges and applications
D Liciotti, M Paolanti, E Frontoni, P Zingaretti
International Conference on Image Analysis and Processing, 207-218, 2017
Deep learning for semantic segmentation of 3D point cloud.
ES Malinverni, R Pierdicca, M Paolanti, M Martini, C Morbidoni, F Matrone, ...
International Archives of the Photogrammetry, Remote Sensing & Spatialá…, 2019
SOPHIA: An event-based IoT and machine learning architecture for predictive maintenance in industry 4.0
M Calabrese, M Cimmino, F Fiume, M Manfrin, L Romeo, S Ceccacci, ...
Information 11 (4), 202, 2020
Visual and textual sentiment analysis of brand-related social media pictures using deep convolutional neural networks
M Paolanti, C Kaiser, R Schallner, E Frontoni, P Zingaretti
International conference on image analysis and processing, 402-413, 2017
Multidisciplinary pattern recognition applications: A review
M Paolanti, E Frontoni
Computer Science Review 37, 100276, 2020
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection
M Paolanti, L Romeo, D Liciotti, R Pietrini, A Cenci, E Frontoni, ...
Sensors 18 (10), 3471, 2018
Comparing machine and deep learning methods for large 3D heritage semantic segmentation
F Matrone, E Grilli, M Martini, M Paolanti, R Pierdicca, F Remondino
ISPRS International Journal of Geo-Information 9 (9), 535, 2020
A benchmark for large-scale heritage point cloud semantic segmentation
F Matrone, A Lingua, R Pierdicca, ES Malinverni, M Paolanti, E Grilli, ...
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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