Search Results - Multimodal autoencoder

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Authors: Atik Faysal Taha Boushine Mohammad Rostami et al.

Source: IEEE Communications Letters. 29:1659-1663

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2501.11538

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

Authors: Jiao Sun Ayesha A. Malik Tong Lin et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/15af55c3cabb47de8f417afb0e7892eb

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

Authors: V. Ravi A. S. Poornima

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

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

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

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

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

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

Authors: Jun-Ho Yoon Seok-Hun Choi Hae-Jung Kim et al.

Source: Journal of KIISE. 52:461-468

An Attention Fusion-Based Multimodal Autoencoder Deepfake Detection Framework

Authors: Tong Hu Wei Liu Yaqi Fan et al.

Source: 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). :1030-1034

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

Authors: Jiao Sun Ayesha A. Malik Tong Lin et al.

Source: Genome Biology, Vol 26, Iss 1, Pp 1-3 (2025)

Subject Terms: Biology (General), QH301-705.5, Genetics, QH426-470

File Description: electronic resource

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

Access URL: https://doaj.org/article/7367d2703b84420e9509980f141b1524

Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice

Authors: Bohy, Hugo Tran, Minh Haddad, Kevin El et al.

Source: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). :1-5

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2508.17502

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Authors: Faysal, Atik Boushine, Taha Rostami, Mohammad et al.

Index Terms: Computer Science - Machine Learning, text

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

Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities

Authors: Routhu Srinivasa Rao Lakshmana Rao Kalabarige M. Raviraja Holla et al.

Source: IEEE Access, Vol 12, Pp 108350-108363 (2024)

Subject Terms: PM₂.₅, AQI, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, India, imputation, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, environmental sustainability, 01 natural sciences, PM₁₀, TK1-9971, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/53c31c0181df4dbaa80a390ffb261175

A Hybrid CNN-Autoencoder-Random Forest Framework for Multimodal Plant Health Classification in Precision Agriculture.

Authors: Farhat, Shaista Anuradha, Chokka

Source: KSII Transactions on Internet & Information Systems. Aug2025, Vol. 19 Issue 8, p2413-2426. 14p.

Subject Terms: Convolutional neural networks, Random forest algorithms, Autoencoder, Data integration, Deep learning, Machine learning, Precision farming, Agricultural technology

Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series

Authors: Alfeo A. L. Cimino M. G. C. A. Gagliardi G.

Source: SN Computer Science. 5

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Contrastive learning, Data fusion, Deep feature learning, Multimodal autoencoder, Predictive maintenance, Smart manufacturing

MODE: high-resolution digital dissociation with deep multimodal autoencoder

Authors: Jiao Sun Ayesha A. Malik Tong Lin et al.

Unsupervised Convolutional Autoencoder Framework for Multimodal Medical Image Fusion in Brain Tumour Diagnosis.

Authors: Vijayan, Saravanan Subramani, Malarvizhi

Source: International Arab Journal of Information Technology (IAJIT). Sep2025, Vol. 22 Issue 5, p972-985. 14p.

Subject Terms: Image fusion, Autoencoder, Magnetic resonance imaging, Feature extraction, Cancer diagnosis, Positron emission tomography, Image quality analysis, Machine learning

Speech Synthesis from Indonesian Lip Movements Leveraging Bi-Lstm and Attention Mechanisms in Multimodal Autoencoder

Authors: Eka Rahayu Setyaningsih Anik Nur Handayani Wahyu Sakti Gunawan Irianto et al.

Deep multimodal autoencoder for crack criticality assessment

Authors: Hugo Launay David Ryckelynck Laurent Lacourt et al.

Contributors: Hugo Launay David Ryckelynck Laurent Lacourt et al.

Source: International Journal for Numerical Methods in Engineering. 123:1456-1480

Subject Terms: Digital Twin, Finite Element Method, 0202 electrical engineering, electronic engineering, information engineering, Multimodal autoencoder, Transfer Learning, 02 engineering and technology, CNN, [SPI.MAT]Engineering Sciences [physics]/Materials

A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT

Authors: Yun Li Guoen Xia Su Wang et al.

Source: Multimedia Tools and Applications. 83:89563-89589

Abstract 5010: High-resolution multi-omic dissociation of brain tumors with deep multimodal autoencoder

Authors: Jiao Sun Yue Pan Tong Lin et al.

Source: Cancer Research. 85:5010-5010

Variational autoencoders for supervision, calibration and multimodal learning

Authors: Joy, Thomas

Subject Terms: Machine Learning

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.886734

FM-AE: Frequency-masked Multimodal Autoencoder for Zinc Electrolysis Plate Contact Abnormality Detection

Authors: Zhou, Canzong Zhou, Can Zhu, Hongqiu et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, I.5.1, text

URL: http://arxiv.org/abs/2401.03806