Výsledky vyhledávání - Denoising sequence autoencoder

Conditioned fully convolutional denoising autoencoder for multi-target NILM

Autoři: García, Diego Pérez, Daniel Papapetrou, Panagiotis a další

Zdroj: Neural Computing & Applications. 37(17):10491-10505

Témata: Non-intrusive Load Monitoring, Energy Efficiency, Deep Convolutional Neural Networks, Interpretability, Multi-target NILM models, data- och systemvetenskap, Computer and Systems Sciences

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-237967
https://doi.org/10.1007/s00521-024-10552-0

A deep learning adversarial autoencoder with dynamic batching displays high performance in denoising and ordering scRNA-seq data

Autoři: Kyung Dae Ko Vittorio Sartorelli

Zdroj: iScience, Vol 27, Iss 3, Pp 109027- (2024)

Témata: Natural sciences, Biological sciences, Molecular biology, Bioinformatics, Sequence analysis, Omics, Science

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004224002487; https://doaj.org/toc/2589-0042

Přístupová URL adresa: https://doaj.org/article/1bbdb0d37484453488b337a8873b35c4

Accurate estimation of state of charge and state of health of electric vehicle power batteries based on dynamic channel pruning informer-stacked denoising autoencoder model.

Autoři: Peng, Ziran Wang, Shunhao Zhang, Shengchun a další

Zdroj: Electrical Engineering. Jan2026, Vol. 108 Issue 1, p1-19. 19p.

Financial Volatility Prediction Model Based On Denoising Autoencoder and Unstable Attention Mechanism.

Autoři: Fan, Yijiao¹ (AUTHOR) yijiaofanedit@outlook.com

Zdroj: Procedia Computer Science. 2025, Vol. 261, p45-52. 8p.

Témata: Information technology, Noise control, Economies of scale, Investors, Autoencoder, Bees algorithm, Feature selection

DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection

Autoři: Xigang Zhao Peng Liu Saïd Mahmoudi a další

Zdroj: Alexandria Engineering Journal, Vol 108, Iss , Pp 436-444 (2024)

Témata: Anomaly detection, Normalizing flow, Time series, Autoencoder, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016824007348; https://doaj.org/toc/1110-0168

Přístupová URL adresa: https://doaj.org/article/e210902e3c384e91a1fcd8c59dbacd0b

Generative AI Models for the Protein Scaffold Filling Problem.

Autoři: Qingge, Letu Badal, Kushal Annan, Richard a další

Zdroj: Journal of Computational Biology. Feb2025, Vol. 32 Issue 2, p127-142. 16p.

Témata: *GENERATIVE artificial intelligence, *AMINO acid sequence, *SCAFFOLD proteins, *DRUG discovery, *AUTOENCODERS, *TANDEM mass spectrometry

Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.

Autoři: García-González, Jorge Ortiz-de-Lazcano-Lobato, Juan M. Luque-Baena, Rafael M. a další

Zdroj: Pattern Recognition Letters. Jul2019, Vol. 125, p481-487. 7p.

Témata: *GAUSSIAN distribution, *FEATURE extraction

DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection.

Autoři: Zhao, Xigang Liu, Peng Mahmoudi, Saïd a další

Zdroj: Alexandria Engineering Journal. Dec2024, Vol. 108, p436-444. 9p.

Témata: Machine learning, Infrastructure (Economics), Time series analysis, Water purification, Space exploration

A Deep Learning Model to Predict the ncRNA-Protein Interactions Based on Sequences Information Only.

Autoři: Sewailem, Maha FM Arif, Muhammad Alam, Tanvir

Zdroj: Bioinformatics & Biology Insights. 11/10/2025, Vol. 19, p1-12. 12p.

Clarity-Optimized Wavelet With Autoencoder- ReliefF Ranking for Enhanced UHF PD Signal Feature Extraction

Autoři: Dhruba Kumar S. M. Kayser Azam Wong Jee Keen Raymond a další

Zdroj: IEEE Access, Vol 13, Pp 182444-182457 (2025)

Témata: Autoencoders, denoising, feature extraction, UHF sensor, partial discharge, wavelet transform, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11197474/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/5ddb293fe0a646ccb8820a0a4441ccb2

An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders.

Autoři: Albu, Alexandra-Ioana¹ (AUTHOR) alexandra.albu@ubbcluj.ro

Zdroj: Procedia Computer Science. 2022, Vol. 207, p2023-2032. 10p.

Témata: Protein-protein interactions, Amino acid sequence, Computational biology, Performance standards, Machine learning, Supervised learning

Mystical Tutor: A Magic: The Gathering Design Assistant via Denoising Sequence-to-Sequence Learning

Autoři: Adam Summerville Michael Mateas

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12:86-92

Témata: 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 02 engineering and technology

Infrared Dim and Small Target Detection Based on Denoising Autoencoder Network.

Autoři: Shi, Manshu Wang, Huan

Zdroj: Mobile Networks & Applications. Aug2020, Vol. 25 Issue 4, p1469-1483. 15p.

Témata: *IMAGE denoising, *CONVOLUTIONAL neural networks, *INFRARED technology, *INFRARED imaging, *RECEIVER operating characteristic curves

Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders

Autoři: Weichao Dong Hexu Sun Zheng Li a další

Zdroj: IEEE Access, Vol 8, Pp 146901-146914 (2020)

Témata: K-means clustering, multiscale mathematical morphological decomposition, short-term wind-speed forecasting, stacked denoising autoencoders, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9163090/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/080a81e4e4bd4b88a6dd0f8a63710a2d

Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation

Autoři: Virpioja, Sami Kurimo Mikko a další

Přispěvatelé: Virpioja, Sami Kurimo Mikko a další

Zdroj: Machine Translation

Témata: ta113, FOS: Computer and information sciences, Computer and information sciences, Computer Science - Computation and Language, Multilingual machine translation, 02 engineering and technology, Low-resource languages, 01 natural sciences, Transfer learning, Denoising sequence autoencoder, Multi-task learning, Subword segmentation, Languages, 0202 electrical engineering, electronic engineering, information engineering, Computation and Language (cs.CL), 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://helda.helsinki.fi/bitstream/10138/330171/1/2004.04002.pdf
http://arxiv.org/abs/2004.04002
http://juuli.fi/Record/0374141320
https://doi.org/10.1007/s1059002009253x
https://helda.helsinki.fi/handle/10138/330171
https://dblp.uni-trier.de/db/journals/corr/corr2004.html#abs-2004-04002
https://link.springer.com/article/10.1007/s10590-020-09253-x
http://hdl.handle.net/10138/330171
https://aaltodoc.aalto.fi/handle/123456789/102739

Enhancing neural signal quality: a spike-denoising model with BiLSTM and attention mechanism.

Autoři: Xu, Xinyu Chen, Nian Deng, Yuhao a další

Zdroj: Brain Informatics; 10/11/2025, Vol. 12 Issue 1, p1-17, 17p

Témata: SIGNAL denoising, LONG short-term memory, MACHINE learning, DATA quality, MICROELECTRODES, ACTION potentials, DEEP learning

Deinterleaving of Pulse Streams With Denoising Autoencoders.

Autoři: Li, Xueqiong Liu, Zhangmeng Huang, Zhitao

Zdroj: IEEE Transactions on Aerospace & Electronic Systems. Dec2020, Vol. 56 Issue 6, p4767-4778. 12p.

Témata: *RIVERS, *RADAR, *NOISE control, *IMAGE denoising, *TASK analysis

Efficient protein structure generation with sparse denoising models.

Autoři: Jendrusch, Michael Korbel, Jan O.

Zdroj: Nature Machine Intelligence; Sep2025, Vol. 7 Issue 9, p1429-1445, 17p

Mask-prior-guided denoising diffusion improves inverse protein folding.

Autoři: Bai, Peizhen Miljković, Filip Liu, Xianyuan a další

Zdroj: Nature Machine Intelligence; Jun2025, Vol. 7 Issue 6, p876-888, 13p

基于序列到序列模型的无监督文本简化方法.

Alternate Title: Unsupervised text simplification with sequence-to-sequence model.

Autoři: 李天宇 李　云 钱镇宇

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu. Jan2021, Vol. 38 Issue 1, p93-100. 5p.

Témata: *CORPORA, *SARIS, *ALGORITHMS, *TASKS, *LABELS