Results 31 to 40 of about 33,619 (260)
Gene Ontology Capsule GAN: an improved architecture for protein function prediction [PDF]
PeerJ Computer Science, 2022 Proteins are the core of all functions pertaining to living things. They consist of an extended amino acid chain folding into a three-dimensional shape that dictates their behavior.
Musadaq Mansoor +3 more
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Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification
Frontiers in Computer Science, 2020 Objective: The aim of this research is to present a novel computer-aided decision support tool in analyzing, quantifying, and evaluating the retinal blood vessel structure from fluorescein angiogram (FA) videos.Methods: The proposed method consists of ...
Sumit Laha +6 more
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Remote Sensing, 2019 Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features ...
Kaiqiang Zhu +4 more
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CoRR, 2019 Capsule Networks attempt to represent patterns in images in a way that preserves hierarchical spatial relationships. Additionally, research has demonstrated that these techniques may be robust against adversarial perturbations. We present an improvement to training capsule networks with added robustness via non-parametric kernel methods.
Taylor W. Killian +3 more
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Multi-channel capsule network ensemble for plant disease detection
SN Applied Sciences, 2021 This study presents a new deep learning approach based on capsule networks and ensemble learning for the detection of plant diseases. The developed method is called as multi-channel capsule network ensemble. The main innovation behind the proposed method
Musa Peker
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Capsule Networks as Generative Models
, 2023 Accepted at the 3rd International Workshop on Active Inference, 19th Sept 2022, Grenoble; This version: added reference, corrected typographical error; final submitted ...
Alex B. Kiefer +3 more
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Hierarchical Graph Capsule Network
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data. However, existing GNNs suffer from limited capability in capturing the hierarchical graph representation which plays an important role in graph classification.
Jinyu Yang +6 more
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An Improved Capsule Network Based on Capsule Filter Routing [PDF]
IEEE Access, 2021 Capsule network (CapsNet) is a novel type of network that can retain spatial information, because each capsule can integrate more information than scalar-output features. However, the CapsNet learns all the features in the input image due to the lack of pooling operation, and there is no connection between different layers in the multi-layer network ...
Wei Wang 0329 +3 more
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Intelligent Classification of Japonica Rice Growth Duration (GD) Based on CapsNets
Plants, 2022 Rice cultivation in cold regions of China is mainly distributed in Heilongjiang Province, where the growing season of rice is susceptible to low temperature and cold damage.
Xin Zhao +5 more
doaj +1 more source
Arterial Spin Labeling Image Synthesis From Structural MRI Using Improved Capsule-Based Networks
IEEE Access, 2020 Medical image synthesis receives much popularity in recent years, and ample medical images can be synthesized by diverse deep learning models to alleviate the problem of lack of data in many medical imaging utilizations.
Wei Huang +4 more
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