Výsledky vyhľadávania - "Variational encoder–decoder"

Sparse and Contractive Graph-Based Variational Encoder-Decoder with Multihead Attention for Robust Spatiotemporal Activity Recognition

Autori: Mohsen Saffari Yash Pratap Singh Mahdi Khodayar

Zdroj: 2025 IEEE International Conference on Electro Information Technology (eIT). :109-114

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder

Autori: Zhu, Shenghao Chen, Yifei Jiang, Shuo a ďalší

Zdroj: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-5

Predmety: 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

Prístupová URL adresa: http://arxiv.org/abs/2412.07804

ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs

Autori: Long Chen Zheheng Jiang Joseph Barker a ďalší

Zdroj: IEEE Transactions on Biomedical Engineering. 71:2143-2153

Predmety: Electrocardiography, Deep Learning, Databases, Factual, Humans, Signal Processing, Computer-Assisted, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38319768

Variational encoder-decoder architecture for charge and energy transport in disordered materials

Autori: Fatemehsadat Mousavi Mehdi Ansari-Rad Sergei D. Baranovskii

Zdroj: Physical Review B. 111

A variational encoder–decoder approach to precise spectroscopic age estimation for large Galactic surveys

Autori: Henry W Leung Jo Bovy J Ted Mackereth a ďalší

Zdroj: Monthly Notices of the Royal Astronomical Society

Predmety: 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

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2302.05479
https://hdl.handle.net/11585/960708
https://academic.oup.com/mnras/article/522/3/4577/7146226
https://doi.org/10.1093/mnras/stad1272

Non‐Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models

Autori: Behrens, Gunnar Beucler, Tom Gentine, Pierre a ďalší

Zdroj: Journal of Advances in Modeling Earth Systems. 14(8)

Predmety: Earth Sciences, Atmospheric Sciences, Climate Action, convection, dimensionality reduction, explainable artificial intelligence, generative deep learning, machine learning, parameterization, Atmospheric sciences, Geoinformatics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/0pc9j5gr
https://escholarship.org/content/qt0pc9j5gr/qt0pc9j5gr.pdf

ECGVEDNET : A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs

Autori: Chen, Long Jiang, Zheheng Barker, Joseph a ďalší

Témy: Journal Article, PeerReviewed

URL: https://eprints.lancs.ac.uk/id/eprint/227347/
https://eprints.lancs.ac.uk/id/eprint/227347

Uncertainty quantification for goal-oriented inverse problems via variational encoder-decoder networks

Autori: Afkham, Babak Maboudi Chung, Julianne Chung, Matthias

Zdroj: 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 .

Témy: Deep learning, Regularization, Encoder-decoder networks, Uncertainty quantification, Quantity of interest, Hyperparameter selection, article

URL: https://orbit.dtu.dk/en/publications/d759a427-2040-4cd4-8531-bc8e03343f0b
https://doi.org/10.1088/1361-6420/ad5373
https://backend.orbit.dtu.dk/ws/files/364393872/Afkham_2024_Inverse_Problems_40_075010.pdf

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

Autori: Czerkawski, Mikolaj Ilioudis, Christos Clemente, Carmine a ďalší

Zdroj: 2021 IEEE Radar Conference (RadarConf21). :1-6

Predmety: 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

Popis súboru: application/pdf; text

Prístupová URL adresa: 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

Appraisal of Resistivity Inversion Models With Convolutional Variational Encoder–Decoder Network

Autori: Bibin Wilson Anand Singh Amit Sethi

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 60:1-10

Predmety: 01 natural sciences, 0105 earth and related environmental sciences

De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation

Autori: Yaohui Jin Wenqing Chen Jidong Tian a ďalší

Zdroj: 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

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://aclanthology.org/2021.acl-long.430.pdf
https://dblp.uni-trier.de/db/conf/acl/acl2021-1.html#ChenTL0J20
https://aclanthology.org/2021.acl-long.430/
https://2021.aclweb.org/program/accept/#290

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder

Autori: Zhu, Shenghao Chen, Yifei Jiang, Shuo a ďalší

Témy: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2412.07804

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

Autori: Czerkawski, Mikolaj Ilioudis, Christos Clemente, Carmine a ďalší

Témy: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2404.08298

Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing Modalities

Autori: Seung-wan Jeong Hwan-ho Cho Junmo Kwon a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783031263507

A variational encoder-decoder approach to precise spectroscopic age estimation for large Galactic surveys

Autori: Leung, Henry W. Bovy, Jo Mackereth, J. Ted a ďalší

Témy: Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics, text

URL: http://arxiv.org/abs/2302.05479

Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks

Autori: Afkham, Babak Maboudi Chung, Julianne Chung, Matthias

Témy: Mathematics - Numerical Analysis, Computer Science - Machine Learning, 15A29, 6208, 68U07, text

URL: http://arxiv.org/abs/2304.08324

A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction

Autori: Hongyi Liu Yaosi Hu Zhibin Zhang a ďalší

Zdroj: Proceedings of The Web Conference 2020. :2542-2548

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/www/www2020.html#XieZZPYHLC20
https://dl.acm.org/doi/pdf/10.1145/3366423.3380004

A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation

Autori: Liqiang Xiao Wenqing Chen Hao He a ďalší

Zdroj: Proceedings of the 28th International Conference on Computational Linguistics. :1186-1198

Prístupová URL adresa: https://www.aclweb.org/anthology/2020.coling-main.102.pdf
https://aclanthology.org/2020.coling-main.102/
https://dblp.uni-trier.de/db/conf/coling/coling2020.html#ChenTXHJ20
https://www.aclweb.org/anthology/2020.coling-main.102/

Uncertainty quantification for goal-oriented inverse problems via variational encoder-decoder networks

Autori: Babak Maboudi Afkham Julianne Chung Matthias Chung

Zdroj: 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

Predmety: Quantity of interest, Regularization, Deep learning, 0101 mathematics, Encoder-decoder networks, 01 natural sciences, Uncertainty quantification, Hyperparameter selection

Popis súboru: application/pdf

Prístupová URL adresa: https://orbit.dtu.dk/en/publications/d759a427-2040-4cd4-8531-bc8e03343f0b

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment

Autori: Stuart H. Rubin Lydia Bouzar-Benlabiod Kahina Belaidi a ďalší

Zdroj: 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI). :75-82

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/iri/iri2019.html#Bouzar-Benlabiod19