Výsledky vyhledávání - Multimodal autoencoder*

Improving News Recommendation Accuracy Through Multimodal Variational Autoencoder and Adversarial Training

Autoři: Pei Tang Shuo Zhu Bilal Alatas

Zdroj: IEEE Access, Vol 13, Pp 85269-85278 (2025)

Témata: multi-head attention mechanismmeta-learning, convolutional neural networks, deep learning, Variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, multimodal recommender systems, TK1-9971

Přístupová URL adresa: https://doaj.org/article/f4499787f0d249e18df95bcecd7a8942

Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection.

Autoři: Moslemi A Osapoetra LO Safakish A a další

Zdroj: Medical physics [Med Phys] 2025 Oct; Vol. 52 (10), pp. e70026.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

Výrazy ze slovníku MeSH: Head and Neck Neoplasms*/radiotherapy , Head and Neck Neoplasms*/diagnostic imaging , Multimodal Imaging* , Image Processing, Computer-Assisted*/methods, Humans ; Treatment Outcome ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed ; Female ; Male ; Autoencoder

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Autoři: Atik Faysal Taha Boushine Mohammad Rostami a další

Zdroj: IEEE Communications Letters. 29:1659-1663

Témata: Computer Science - Machine Learning

Přístupová URL adresa: http://arxiv.org/abs/2501.11538

Perceptual Compression of Multimodal Tactile Signals with an Attention-Enhanced Autoencoder and Cross-Modal Psychohaptic Loss Function

Autoři: Wenxuan Wei Xiao Xu Lars Nockenberg a další

Zdroj: 2025 IEEE World Haptics Conference (WHC). :147-153

Multimodal Variational Autoencoder: A Barycentric View

Autoři: Qiu, Peijie Zhu, Wenhui Kumar, Sayantan a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 39:20060-20068

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2412.20487

MOADE: a multimodal autoencoder for dissociating bulk multi-omics data

Autoři: Jiao Sun Ayesha A. Malik Tong Lin a další

Zdroj: Genome Biology, Vol 26, Iss 1, Pp 1-28 (2025)

Témata: Multimodal, Autoencoder, High-resolution purification, Origin cell mapping, Tumor microenvironment, Biology (General), QH301-705.5, Genetics, QH426-470

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1474-760X

Přístupová URL adresa: https://doaj.org/article/15af55c3cabb47de8f417afb0e7892eb

SecMa: A Novel Multimodal Autoencoder Framework for Encrypted IoT Traffic Analysis and Attack Detection

Autoři: V. Ravi A. S. Poornima

Zdroj: Engineering, Technology & Applied Science Research. 15:23020-23026

Cross-Attention-Enhanced Multimodal Fake News Detection using Autoencoder-based Fusion and Transformer-based models.

Autoři: Ghorbel, Rahma Ameur, Hanen Ayed, Yassine Ben

Zdroj: Procedia Computer Science. 2025, Vol. 270, p4044-4053. 10p.

Témata: Autoencoders, Transformer models, Credibility of the press, Multimodal user interfaces, Deep learning, Classification, Feature extraction

Multimodal medical image-to-image translation via variational autoencoder latent space mapping.

Autoři: Liang Z Cheng M Ma J a další

Zdroj: Medical physics [Med Phys] 2025 Jul; Vol. 52 (7), pp. e17912. Date of Electronic Publication: 2025 May 29.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

Výrazy ze slovníku MeSH: Image Processing, Computer-Assisted*/methods , Multimodal Imaging*/methods, Humans ; Magnetic Resonance Imaging ; Head and Neck Neoplasms/diagnostic imaging ; Cone-Beam Computed Tomography ; Autoencoder

SmartBio: An AI-Enabled Smart Medical Device for Early Cancer Detection using Variational Autoencoders and Multimodal Sensor Integration

Autoři: Reetha Vadakke Kara

Zdroj: Journal of Modern Technology. 2:292-301

Phishing Webpage Detection using URL and HTML Graphs based on a Multimodal AutoEncoder Ensemble

Autoři: Jun-Ho Yoon Seok-Hun Choi Hae-Jung Kim a další

Zdroj: Journal of KIISE. 52:461-468

Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder

Autoři: Junjie Zhou Jiao Tang Yingli Zuo a další

Zdroj: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :10384-10393

Sentiment Analysis and Evolutionary Multimodal Autoencoders for Enhanced Stock Market Volatility Prediction Using Macroeconomic Indicators

Autoři: Lakshmi Sagar Pulabaigari Sivakumar C

Zdroj: International Journal of Engineering Trends and Technology. 73:56-69

MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification

Autoři: Zongqin Yue Jindong Xu Ziyi Li a další

Zdroj: International Journal of Remote Sensing. 46:4215-4240

Research on Emotion Classification Supported by Multimodal Adversarial Autoencoder

Autoři: Jing Yu

Zdroj: Journal of Electronic Research and Application. 9:270-275

Convolutional autoencoder-based multimodal one-class classification

Autoři: Laakom, Firas Sohrab, Fahad Raitoharju, Jenni a další

Zdroj: 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media Companion (CISM Companion). :1-5

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

Přístupová URL adresa: http://arxiv.org/abs/2309.14090

AEKAN: Exploring Superpixel-Based AutoEncoder Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection

Autoři: Tongfei Liu Jianjian Xu Tao Lei a další

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 63:1-14

Témata: Earth sciences, Engineering

Implicit smartphone authentication via multimodal data and transfer autoencoders

Autoři: XU Zi’ang

Zdroj: 物联网学报, Vol 9, Pp 93-103 (2025)

Témata: implicit authentication, autoencoder, transfer learning, pattern unlock, privacy protection, Information technology, T58.5-58.64, Management information systems, T58.6-58.62

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2096-3750

Přístupová URL adresa: https://doaj.org/article/28cd8bc56371483faad5012f05bad2b8

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets

Autoři: Zihao Wang Zeyu Wu Minghua Deng

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-13 (2025)

Témata: Mosaic intergrate, Single-cell multimodal, Batch effect, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/9eed07cdc94c4fa59f1c4d923d16f811

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images

Autoři: Luigi Tommaso Luppino Mads Adrian Hansen Michael Kampffmeyer a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 35:60-72

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Affinity matrix, aligned autoencoders, Codes, Decoding, Deep learning, deep learning, heterogeneous data, image regression, multimodal image analysis, Remote sensing, Synthetic aperture radar, Tensors, Training, unsupervised change detection (CD), 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35552141
http://arxiv.org/abs/2004.07011