Mark David Jenkins
Orcid: 0000-0001-9717-8523
According to our database1,
Mark David Jenkins
authored at least 16 papers
between 2016 and 2023.
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Bibliography
2023
Lay Text Summarisation Using Natural Language Processing: A Narrative Literature Review.
CoRR, 2023
2022
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels Using Localization With a Classifier and Thresholding.
IEEE Trans. Intell. Transp. Syst., 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification.
CoRR, 2022
2021
An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods.
Expert Syst. Appl., 2021
Digit. Signal Process., 2021
A Weakly-Supervised Surface Crack Segmentation Method using Localisation with a Classifier and Thresholding.
CoRR, 2021
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021
An Enhanced Photorealistic Immersive System using Augmented Situated Visualization within Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021
2020
Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020
2019
A Convolutional Neural Network for Pavement Surface Crack Segmentation Using Residual Connections and Attention Gating.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Deep Complex Neural Network Learning for High-Voltage Insulation Fault Classification from Complex Bispectrum Representation.
Proceedings of the 27th European Signal Processing Conference, 2019
Segmentation of Surface Cracks Based on a Fully Convolutional Neural Network and Gated Scale Pooling.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration.
IEEE Trans. Cybern., 2018
Deep Residual Neural Network for EMI Event Classification Using Bispectrum Representations.
Proceedings of the 26th European Signal Processing Conference, 2018
A Deep Convolutional Neural Network for Semantic Pixel-Wise Segmentation of Road and Pavement Surface Cracks.
Proceedings of the 26th European Signal Processing Conference, 2018
2016
Extended fast compressive tracking with weighted multi-frame template matching for fast motion tracking.
Pattern Recognit. Lett., 2016