Publications

645 dati « 1 di 33 »

Vargas, V. M.; Gutiérrez, P. A.; Rosati, R.; Romeo, L.; Frontoni, E.; Hervás-Martínez, C.

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment Journal Article

In: Computers in Industry, vol. 144, 2023, (cited By 0).

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Fiorentino, M. C.; Villani, F. P.; Cosmo, M. Di; Frontoni, E.; Moccia, S.

A review on deep-learning algorithms for fetal ultrasound-image analysis Journal Article

In: Medical Image Analysis, vol. 83, 2023, (cited By 0).

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Rosati, R.; Romeo, L.; Vargas, V. M.; Gutiérrez, P. A.; Hervás-Martínez, C.; Bianchini, L.; Capriotti, A.; Capparuccia, R.; Frontoni, E.

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques Journal Article

In: Lecture Notes in Networks and Systems, vol. 531 LNNS, pp. 239-249, 2023, (cited By 0).

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Tomassini, S.; Falcionelli, N.; Sernani, P.; Sbrollini, A.; Morettini, M.; Burattini, L.; Dragoni, A. F.

Cloud-YLung for Non-Small Cell Lung Cancer Histology Classification from 3D Computed Tomography Whole-Lung Scans Conference

vol. 2022-July, 2022, (cited By 0).

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Bonci, A.; Biase, A. Di; Dragoni, A. Franco; Longhi, S.; Sernani, P.; Zega, A.

Machine learning for monitoring and predictive maintenance of cutting tool wear for clean-cut machining machines Conference

vol. 2022-September, 2022, (cited By 0).

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Polenta, A.; Tomassini, S.; Falcionelli, N.; Contardo, P.; Dragoni, A. F.; Sernani, P.

A Comparison of Machine Learning Techniques for the Quality Classification of Molded Products Journal Article

In: Information (Switzerland), vol. 13, no. 6, 2022, (cited By 1).

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Tomassini, S.; Falcionelli, N.; Sernani, P.; Burattini, L.; Dragoni, A. F.

Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey Journal Article

In: Computers in Biology and Medicine, vol. 146, 2022, (cited By 1).

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Ferretti, M.; Leo, B. Di; Quattrini, R.; Vasic, I.

Creativity and Digital Transition in Central Appennine Innovative design methods and digital technologies as interactive tools to enable heritage regeneration and community engagement Conference

vol. 2, 2022, (cited By 0).

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Pierdicca, R.; Mulliri, M.; Lucesoli, M.; Piccinini, F.; Malinverni, E. S.

Geomatics Meets XR: A Brief Overview of the Synergy Between Geospatial Data and Augmented Visualization Journal Article

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13446 LNCS, pp. 224-235, 2022, (cited By 0).

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Bartolucci, A.; Marconi, M.; Magni, M.; Pierdicca, R.; Malandra, F.; Ho, T. C.; Vitali, A.; Urbinati, C.

Combining Participatory Mapping and Geospatial Analysis Techniques to Assess Wildfire Risk in Rural North Vietnam Journal Article

In: Environmental Management, vol. 69, no. 3, pp. 466-479, 2022, (cited By 1).

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Piccinini, F.; Gorreja, A.; Stefano, F. Di; Pierdicca, R.; Aparicio, L. J. Sanchez; Malinverni, E. S.

Preservation of Villages in Central Italy: Geomatic Techniques’ Integration and GIS Strategies for the Post-Earthquake Assessment Journal Article

In: ISPRS International Journal of Geo-Information, vol. 11, no. 5, 2022, (cited By 0).

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Murtiyoso, A.; Matrone, F.; Martini, M.; Lingua, A.; Grussenmeyer, P.; Pierdicca, R.

AUTOMATIC TRAINING DATA GENERATION IN DEEP LEARNING-AIDED SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS Conference

vol. 5, no. 2, 2022, (cited By 0).

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Balestra, M.; Chiappini, S.; Vitali, A.; Tonelli, E.; Malandra, F.; Galli, A.; Urbinati, C.; Malinverni, E. S.; Pierdicca, R.

INTEGRATION OF GEOMATIC TECHNIQUES FOR THE 3D REPRESENTATION AND MONITORING OF A VETERAN CHESTNUT TREE Conference

vol. 43, no. B3-2022, 2022, (cited By 0).

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Chiappini, S.; Pierdicca, R.; Malandra, F.; Tonelli, E.; Malinverni, E. S.; Urbinati, C.; Vitali, A.

Comparing Mobile Laser Scanner and manual measurements for dendrometric variables estimation in a black pine (Pinus nigra Arn.) plantation Journal Article

In: Computers and Electronics in Agriculture, vol. 198, 2022, (cited By 0).

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Pierdicca, R.; Balestra, M.; Micheletti, G.; Felicetti, A.; Toscano, G.

Semi-automatic detection and segmentation of wooden pellet size exploiting a deep learning approach Journal Article

In: Renewable Energy, vol. 197, pp. 406-416, 2022, (cited By 0).

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Colosi, F.; Malinverni, E. S.; Trujillo, F. J. Leon; Pierdicca, R.; Orazi, R.; Stefano, F. Di

Exploiting HBIM for Historical Mud Architecture: The Huaca Arco Iris in Chan Chan (Peru) Journal Article

In: Heritage, vol. 5, no. 3, pp. 2062-2082, 2022, (cited By 0).

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Romeo, L.; Cavallo, A.; Pepa, L.; Bianchi-Berthouze, N.; Pontil, M.

Multiple Instance Learning for Emotion Recognition Using Physiological Signals Journal Article

In: IEEE Transactions on Affective Computing, vol. 13, no. 1, pp. 389-407, 2022, (cited By 7).

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Ferracuti, F.; Freddi, A.; Monteriu, A.; Romeo, L.

Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection Journal Article

In: IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1997-2007, 2022, (cited By 5).

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Luca, D. De; Moccia, S.; Micera, S.

Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision Conference

2022, (cited By 1).

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Casella, A.; Moccia, S.; Cintorrino, I. A.; Paolis, G. R. De; Bicelli, A.; Paladini, D.; Momi, E. De; Mattos, L. S.

Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images Journal Article

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13374 LNCS, pp. 145-153, 2022, (cited By 0).

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645 dati « 1 di 33 »

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