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About the database ScholarIQanswers from OpenAlex & ORCID
How has Marina Paolanti's publication output changed over time?
ScholarIQpublication output · 2018–2021
Output grew0% over the shown period — from 2 works in 2018 to 2 in 2021.
2
1
6
2
2018201920202021
What are the most-cited papers on Marina Paolanti?
ScholarIQmost cited works
Machine Learning approach for Predictive Maintenance in Industry 4.0
Marina Paolanti, Luca Romeo, Andrea Felicetti, Adriano Mancini, Emanuele Frontoni, Jelena Loncarski
2018284 Citations
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Roberto Pierdicca, Marina Paolanti, Francesca Matrone, Massimo Martini, Christian Morbidoni, Eva Savina Malinverni, Emanuele Frontoni, Andrea Maria Lingua
S43295729. 2020282 CitationsOPEN ACCESS
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
Roberto Pierdicca, Eva Savina Malinverni, F. Piccinini, Marina Paolanti, Andrea Felicetti, Primo Zingaretti
S2737215817. 2018168 CitationsOPEN ACCESS
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
Francesca Matrone, Eleonora Grilli, Massimo Martini, Marina Paolanti, Roberto Pierdicca, Fabio Remondino
S2764431341. 2020163 CitationsOPEN ACCESS
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0
M. Calabrese, Martin Cimmino, Francesca Fiume, Martina Manfrin, Luca Romeo, Silvia Ceccacci, Marina Paolanti, Giuseppe Toscano, Giovanni Ciandrini, Alberto Carrotta, Maura Mengoni, Emanuele Frontoni, Dimos Kapetis
S4210219776. 2020148 CitationsOPEN ACCESS
Related on ScholarIQ
University of Macerata
Institution
Machine Learning approach for Predictive Maintenance in Industry 4.0
Paper
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Paper
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
Paper
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
Paper
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0
Paper