Výsledky vyhledávání - "self-supervised autoencoder"

Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis

Autoři: Webster, Matthew B. Lee, Dongheon Lee, Joonnyong

Témata: Machine Learning, Signal Processing (eess.SP), FOS: Computer and information sciences, I.2.6, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.09132

Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysis.

Autoři: Webster MB Lee D Lee J

Zdroj: Computers in biology and medicine [Comput Biol Med] 2025 Nov 21; Vol. 199, pp. 111319. Date of Electronic Publication: 2025 Nov 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

SAGHOG: Self-supervised Autoencoder for Generating HOG Features for Writer Retrieval

Autoři: Marco Peer Florian Kleber Robert Sablatnig

Zdroj: Lecture Notes in Computer Science ISBN: 9783031705359

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2404.17221

SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval

Autoři: Peer, Marco Kleber, Florian Sablatnig, Robert

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

URL: http://arxiv.org/abs/2404.17221

Auto-Encoders Derivatives on Different Occluded Face Images: Comprehensive Review and New Results

Autoři: Azin Masoudi Majid Ahmadi

Zdroj: IEEE Access, Vol 13, Pp 195080-195103 (2025)

Témata: Convolutional autoencoder, face recognition, occluded dataset, self-supervised autoencoder, smooth autoencoder, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11241209/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/886a0b5748c344619b5011623f9db382

Neural models for detection and classification of brain states and transitions.

Autoři: Marin-Llobet, Arnau Manasanch, Arnau Dalla Porta, Leonardo a další

Zdroj: Communications Biology; 4/11/2025, Vol. 8 Issue 1, p1-10, 10p

Témata: CONVOLUTIONAL neural networks, COGNITIVE psychology, CLUSTERING algorithms, COGNITIVE neuroscience, MEDICAL sciences, WAKEFULNESS

A Practical Non-Profiled Deep-Learning-Based Power Analysis with Hybrid-Supervised Neural Networks.

Autoři: Kong, Fancong Wang, Xiaohua Pu, Kangran a další

Zdroj: Electronics (2079-9292); Aug2023, Vol. 12 Issue 15, p3361, 21p

Témata: DEEP learning, ARCHITECTURAL design, MEASURING instruments, CARDIAC pacing

Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV

Autoři: An, Haonan Fang, Zhengru Zhang, Yuang a další

Témata: Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2410.04320

Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data

Autoři: Amalanshu, Avi Sirvi, Yash Inouye, David I.

Témata: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, text

URL: http://arxiv.org/abs/2403.03871

A robust semi-supervised hybrid ensemble for Network Intrusion Detection System (NIDS).

Autoři: Fitriani, Sofy Setiarini, Siti Dwi

Zdroj: E3S Web of Conferences; 11/21/2025, Vol. 664, p1-8, 8p

EDTST: Efficient Dynamic Token Selection Transformer for Hyperspectral Image Classification.

Autoři: Hu, Xiang Zhang, Zhiwen Zhai, Jianghe a další

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 18, p3180, 30p

Témata: TRANSFORMER models, REMOTE sensing, MATHEMATICAL optimization, CLASSIFICATION, REMOTE-sensing images

BEPCD: an ensemble learning-based intrusion detection framework for in-vehicle CAN bus.

Autoři: Xu, Bocheng Cao, Fei Li, Xilong a další

Zdroj: PeerJ Computer Science; Aug2025, p1-35, 35p

Témata: INTRUSION detection systems (Computer security), ENSEMBLE learning, AUTOMOBILE security measures, FEATURE extraction, MACHINE learning, CONTROLLER area network (Computer network)

STA-3D: Combining Spatiotemporal Attention and 3D Convolutional Networks for Robust Deepfake Detection.

Autoři: Wang, Jingbo Lei, Jun Li, Shuohao a další

Zdroj: Symmetry (20738994); Jul2025, Vol. 17 Issue 7, p1037, 24p

Témata: TRUST, PYRAMIDS, ENTROPY, PERCENTILES, VIDEOS

A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision

Autoři: Qiu, Zhifeng Zeng, Wanxin Liao, Dahua a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2207.09061

Latent Image Animator: Learning to Animate Images via Latent Space Navigation

Autoři: Wang, Yaohui Yang, Di Bremond, Francois a další

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

URL: http://arxiv.org/abs/2203.09043

Graph Representation Learning Beyond Node and Homophily

Autoři: Li, You Lin, Bei Luo, Binli a další

Témata: Computer Science - Machine Learning, Computer Science - Social and Information Networks, text

URL: http://arxiv.org/abs/2203.01564

End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation

Autoři: Wang, Tianying Puang, En Yen Lee, Marcus a další

Témata: Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2202.06027

Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm

Autoři: Yaxuan Cui Leyi Wei Ruheng Wang a další

Zdroj: Current Bioinformatics. 19:765-776

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, 3. Good health

Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images.

Autoři: Tian, Huiyuan Tian, Yongshao Li, Dujuan a další

Zdroj: Frontiers in Oncology; 2025, p1-11, 11p

Témata: CANCER prognosis, ARTIFICIAL intelligence, DEEP learning, LIVER cancer, REGRESSION analysis

Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers.

Autoři: Sergouniotis, Panagiotis I Diakite, Adam Gaurav, Kumar a další

Zdroj: Bioinformatics; Jan2025, Vol. 41 Issue 1, p1-12, 12p

Témata: GENOME-wide association studies, OPTICAL coherence tomography, GENETIC variation, AUTOENCODERS, PHENOTYPES, DEEP learning