Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-10-20
DOI
10.1111/mice.12632
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data
- (2019) Octavio Martinez Manzanera et al. International Journal of Neural Systems
- Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
- (2019) Duanshun Li et al. AUTOMATION IN CONSTRUCTION
- A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks
- (2019) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- Surface defect classification of steels with a new semi-supervised learning method
- (2019) He Di et al. OPTICS AND LASERS IN ENGINEERING
- A defect classification methodology for sewer image sets with convolutional neural networks
- (2019) Dirk Meijer et al. AUTOMATION IN CONSTRUCTION
- Multi-classifier for reinforced concrete bridge defects
- (2019) Philipp Hüthwohl et al. AUTOMATION IN CONSTRUCTION
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- (2019) Ramprasaath R. Selvaraju et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- A survey on semi-supervised learning
- (2019) Jesper E. van Engelen et al. MACHINE LEARNING
- Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network
- (2019) Yu He et al. OPTICS AND LASERS IN ENGINEERING
- A deep learning-based framework for an automated defect detection system for sewer pipes
- (2019) Xianfei Yin et al. AUTOMATION IN CONSTRUCTION
- Real‐time crack assessment using deep neural networks with wall‐climbing unmanned aerial system
- (2019) Shang Jiang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning
- (2019) Chanjun Chun et al. SENSORS
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Regional parallel structure based CNN for thermal infrared face identification
- (2018) Peng Wang et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
- (2018) Miguel A. Molina-Cabello et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction
- (2018) Yan Zhang et al. PATTERN RECOGNITION
- Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services
- (2018) Mehdi Mohammadi et al. IEEE Internet of Things Journal
- Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques
- (2018) Jack C.P. Cheng et al. AUTOMATION IN CONSTRUCTION
- A scalable approach based on deep learning for big data time series forecasting
- (2018) J.F. Torres et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes
- (2018) Mohammad Hossein Rafiei et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
- (2018) Xiao Liang COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- NEEWS: A novel earthquake early warning model using neural dynamic classification and neural dynamic optimization
- (2017) Mohammad Hossein Rafiei et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- A novel machine learning-based algorithm to detect damage in high-rise building structures
- (2017) Mohammad Hossein Rafiei et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- A New Neural Dynamic Classification Algorithm
- (2017) Mohammad Hossein Rafiei et al. IEEE Transactions on Neural Networks and Learning Systems
- Building energy modeling (BEM) using clustering algorithms and semi-supervised machine learning approaches
- (2016) Hariharan Naganathan et al. AUTOMATION IN CONSTRUCTION
- Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
- (2016) Kanghyeok Yang et al. AUTOMATION IN CONSTRUCTION
- A Perspective on Deep Imaging
- (2016) Ge Wang IEEE Access
- Semi-supervised self-training for decision tree classifiers
- (2015) Jafar Tanha et al. International Journal of Machine Learning and Cybernetics
- Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring
- (2014) Siheng Chen et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- DCPE co-training for classification
- (2012) Jin Xu et al. NEUROCOMPUTING
- Service life prediction of façade paint coatings in old buildings
- (2011) M.A. Garrido et al. CONSTRUCTION AND BUILDING MATERIALS
- Generic Method of Grading Building Defects Using FMECA to Improve Maintainability Decisions
- (2011) Sutapa Das et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More