Search Results - Variational Encoder-Decoder
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Authors: et al.
Source: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-5
Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing
Access URL: http://arxiv.org/abs/2412.07804
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Source: 2025 IEEE International Conference on Electro Information Technology (eIT). :109-114
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Subject Terms: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Computation and Language (cs.CL)
Access URL: http://arxiv.org/abs/2505.09407
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4
Authors: et al.
Source: IEEE Transactions on Biomedical Engineering. 71:2143-2153
Subject Terms: Electrocardiography, Deep Learning, Databases, Factual, Humans, Signal Processing, Computer-Assisted, Algorithms
Access URL: https://pubmed.ncbi.nlm.nih.gov/38319768
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Source: Physical Review B. 111
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Authors: et al.
Source: Earth Science Informatics. 18
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Authors: et al.
Source: Monthly Notices of the Royal Astronomical Society
Subject Terms: methods: data analysis — stars: fundamental parameters— techniques: spectroscopic, Astrophysics of Galaxies (astro-ph.GA), 0202 electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, 02 engineering and technology, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Astrophysics of Galaxies, 01 natural sciences, Instrumentation and Methods for Astrophysics (astro-ph.IM), 0105 earth and related environmental sciences
File Description: application/pdf
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Authors: et al.
Source: Journal of Advances in Modeling Earth Systems. 14(8)
Subject Terms: Earth Sciences, Atmospheric Sciences, Climate Action, convection, dimensionality reduction, explainable artificial intelligence, generative deep learning, machine learning, parameterization, Atmospheric sciences, Geoinformatics
File Description: application/pdf
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Source: Afkham , B M , Chung , J & Chung , M 2024 , ' Uncertainty quantification for goal-oriented inverse problems via variational encoder-decoder networks ' , Inverse Problems , vol. 40 , no. 7 , 075010 .
Index Terms: Deep learning, Regularization, Encoder-decoder networks, Uncertainty quantification, Quantity of interest, Hyperparameter selection, article
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Authors: et al.
Index Terms: Journal Article, PeerReviewed
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Authors: et al.
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14
Authors: et al.
Source: 2021 IEEE Radar Conference (RadarConf21). :1-6
Subject Terms: FOS: Computer and information sciences, Electrical engineering. Electronics Nuclear engineering, TK, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
File Description: application/pdf; text
Access URL: https://strathprints.strath.ac.uk/75252/1/Czerkawski_etal_IEEE_RadarConf2021_Interference_motion_removal_for_Doppler_radar_vital_sign_detection.pdf
http://arxiv.org/abs/2404.08298
https://strathprints.strath.ac.uk/75252/
https://pureportal.strath.ac.uk/en/publications/interference-motion-removal-for-doppler-radar-vital-sign-detectio -
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Source: IEEE Transactions on Geoscience and Remote Sensing. 60:1-10
Subject Terms: 01 natural sciences, 0105 earth and related environmental sciences
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Authors: et al.
Source: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). :5532-5542
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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17
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Source: Afkham, B M, Chung, J & Chung, M 2024, ' Uncertainty quantification for goal-oriented inverse problems via variational encoder-decoder networks ', Inverse Problems, vol. 40, no. 7, 075010 . https://doi.org/10.1088/1361-6420/ad5373
Subject Terms: Quantity of interest, Regularization, Deep learning, 0101 mathematics, Encoder-decoder networks, 01 natural sciences, Uncertainty quantification, Hyperparameter selection
File Description: application/pdf
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Authors: et al.
Source: Lecture Notes in Computer Science ISBN: 9783031263507
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Authors: et al.
Source: Proceedings of the 28th International Conference on Computational Linguistics. :1186-1198
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Authors: et al.
Source: Proceedings of The Web Conference 2020. :2542-2548
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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