Cargando…

Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras

Monitoring road conditions, e.g., water build-up due to intense rainfall, plays a fundamental role in ensuring road safety while increasing resilience to the effects of climate change. Distributed cameras provide an easy and affordable alternative to instrumented weather stations, enabling diffused...

Descripción completa

Detalles Bibliográficos
Autores principales:	Garcea, Fabio, Blanco, Giacomo, Croci, Alberto, Lamberti, Fabrizio, Mamone, Riccardo, Ricupero, Ruben, Morra, Lia, Allamano, Paola
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792450/ https://www.ncbi.nlm.nih.gov/pubmed/36572701 http://dx.doi.org/10.1038/s41598-022-26180-4

Ejemplares similares

Lidar–Camera Semi-Supervised Learning for Semantic Segmentation
por: Caltagirone, Luca, et al.
Publicado: (2021)

Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning
por: Chun, Chanjun, et al.
Publicado: (2019)

Multi-supervised bidirectional fusion network for road-surface condition recognition
por: Zhang, Hongbin, et al.
Publicado: (2023)

Generative Adversarial Training for Supervised and Semi-supervised Learning
por: Wang, Xianmin, et al.
Publicado: (2022)

Semi-supervised learning /
Publicado: (2010)

Supervised, semi-supervised and unsupervised inference of gene regulatory networks
por: Maetschke, Stefan R., et al.
Publicado: (2014)

Self-supervised Learning for Semi-supervised Time Series Classification
por: Jawed, Shayan, et al.
Publicado: (2020)

Direct comparison of supervised and semi-supervised retraining approaches for co-adaptive BCIs
por: Schwarz, Andreas, et al.
Publicado: (2019)

Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer
por: Al-Azzam, Nosayba, et al.
Publicado: (2021)

VTag: a semi-supervised pipeline for tracking pig activity with a single top-view camera
por: Chen, Chun-Peng J, et al.
Publicado: (2022)

Semi-supervised discovery of differential genes
por: Oba, Shigeyuki, et al.
Publicado: (2006)

Semi-supervised protein subcellular localization
por: Xu, Qian, et al.
Publicado: (2009)

Semi-supervised classifier guided by discriminator
por: Jamroziński, Sebastian, et al.
Publicado: (2022)

Semi-supervised learning in cancer diagnostics
por: Eckardt, Jan-Niklas, et al.
Publicado: (2022)

Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance
por: Smith, Leslie N., et al.
Publicado: (2022)

A Methodology of Condition Monitoring System Utilizing Supervised and Semi-Supervised Learning in Railway
por: Shim, Jaeseok, et al.
Publicado: (2023)

A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation
por: Aletti, Giacomo, et al.
Publicado: (2021)

Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks
por: Wang, Juexin, et al.
Publicado: (2020)

Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning
por: Nartey, Obed Tettey, et al.
Publicado: (2020)

Protein Ranking by Semi-Supervised Network Propagation
por: Weston, Jason, et al.
Publicado: (2006)

Semi-Supervised Morphosyntactic Classification of Old Icelandic
por: Urban, Kryztof, et al.
Publicado: (2014)

Semi-supervised method for biomedical event extraction
por: Wang, Jian, et al.
Publicado: (2013)

Semi-Supervised Fuzzy Clustering with Feature Discrimination
por: Li, Longlong, et al.
Publicado: (2015)

Variational Information Bottleneck for Semi-Supervised Classification
por: Voloshynovskiy, Slava, et al.
Publicado: (2020)

Improved semi-supervised autoencoder for deception detection
por: Fu, Hongliang, et al.
Publicado: (2019)

Simple strategies for semi-supervised feature selection
por: Sechidis, Konstantinos, et al.
Publicado: (2017)

Semi-Supervised Training for Positioning of Welding Seams
por: Zhang, Wenbin, et al.
Publicado: (2021)

Semi-Supervised Clustering for Financial Risk Analysis
por: Han, Yihan, et al.
Publicado: (2021)

Semi-supervised oblique predictive clustering trees
por: Stepišnik, Tomaž, et al.
Publicado: (2021)

Semi-supervised adversarial discriminative domain adaptation
por: Nguyen, Thai-Vu, et al.
Publicado: (2022)

Revisiting Consistency for Semi-Supervised Semantic Segmentation †
por: Grubišić, Ivan, et al.
Publicado: (2023)

Edge-Supervised Linear Object Skeletonization for High-Speed Camera
por: Wang, Taohan, et al.
Publicado: (2023)

Do speed cameras reduce road traffic collisions?
por: Graham, Daniel J., et al.
Publicado: (2019)

Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
por: Nguyen, Harrison, et al.
Publicado: (2020)

Determining Effects of Non-synonymous SNPs on Protein-Protein Interactions using Supervised and Semi-supervised Learning
por: Zhao, Nan, et al.
Publicado: (2014)

Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation
por: Zheng, Qiang, et al.
Publicado: (2018)

Identifying SME customers from click feedback on mobile banking apps: Supervised and semi-supervised approaches
por: Tungjitnob, Suchat, et al.
Publicado: (2021)

High-fidelity detection, subtyping, and localization of five skin neoplasms using supervised and semi-supervised learning
por: Requa, James, et al.
Publicado: (2022)

Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis
por: da Rosa, Tiago Gaspar, et al.
Publicado: (2022)

Driving with Binocular Visual Field Loss? A Study on a Supervised On-Road Parcours with Simultaneous Eye and Head Tracking
por: Kasneci, Enkelejda, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_but3ntat52i89qte5derm22fcu