Search Results - "multi-modal variational autoencoder"

MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagnosed multiple myeloma

Authors: Jia Geng Chang Jianbin Chen Guo-Liang Chew et al.

Source: BMC Artificial Intelligence. 1

Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection

Authors: Ying Guo Shuting Hu Yao Li et al.

Source: Pattern Analysis and Applications. 28

Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder

Authors: Hyeonwoo Yu Jean Oh

Source: IEEE Robotics and Automation Letters. 7:2162-2169

Subject Terms: FOS: Computer and information sciences, 0209 industrial biotechnology, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology

Access URL: https://scholarworks.unist.ac.kr/bitstream/201301/57246/1/000748560800031.pdf
http://arxiv.org/abs/2101.10391

A Markov Random Field Multi-Modal Variational AutoEncoder

Authors: Oubari, Fouad Baha, Mohamed El Meunier, Raphael et al.

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Machine Learning (stat.ML), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2408.09576

Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes

Authors: Miki Haseyama Keisuke Maeda Takahiro Ogawa et al.

Source: 2021 IEEE International Conference on Image Processing (ICIP). :2678-2682

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://xplorestaging.ieee.org/ielx7/9506008/9506009/09506496.pdf?arnumber=9506496

Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder

Authors: Yu, Hyeonwoo Oh, Jean

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

URL: http://arxiv.org/abs/2101.10391

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes

Authors: Miki Haseyama Keisuke Maeda Takahiro Ogawa et al.

Source: 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech). :67-68

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/abstract/document/9391939
https://dblp.uni-trier.de/db/conf/lifetech/lifetech2021.html#MorotoMOH21

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

Authors: Korthals, Timo Schilling, Malte Leitner, Jürgen

Index Terms: Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Multiagent Systems, text

URL: http://arxiv.org/abs/1911.00584

M$^2$VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood

Authors: Korthals, Timo

Index Terms: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1903.07303

MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagnosed multiple myeloma.

Authors: Chang, Jia Geng Chen, Jianbin Chew, Guo-Liang et al.

Source: BMC Artificial Intelligence; 8/28/2025, Vol. 1 Issue 1, p1-17, 17p

Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection.

Authors: Guo, Ying Hu, Shuting Li, Yao et al.

Source: Pattern Analysis & Applications; Jun2025, Vol. 28 Issue 2, p1-12, 12p

Single Cell Multi-modal Analysis Using scDMVAE with an Emphasis on SCoPE2 Technology

Authors: Zheng, Yi

Subject Terms: Statistics, Bioinformatics, Computer science, Multi-Modal Data Integration, Multi-Modal Variational Autoencoder, Single-cell data integration, Single-cell proteomics data alignment

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/7fs394pm
https://escholarship.org/content/qt7fs394pm/qt7fs394pm.pdf

AN INTELLIGENT PREDICTION METHOD FOR OSTEOSARCOMA METASTASIS BASED ON A MULTI-MODAL FUSION MODEL.

Authors: LU, JIANGTAO XU, LI WEI, YAMING et al.

Source: Journal of Mechanics in Medicine & Biology. Oct2025, Vol. 25 Issue 8, p1-17. 17p.

Subject Terms: *AUTOENCODERS, *FEATURE extraction, *GENE expression, *DNA methylation, *GENETIC mutation

A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder

Authors: Yang, Zhou Pang, Yucai Yin, Hongbo et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Multimedia, Computer Science - Social and Information Networks, text

URL: http://arxiv.org/abs/2502.16483

基于自适应融合技术的多模态实体对齐模型.

Alternate Title: Multi-modal entity alignment model based on adaptive fusion technology.

Authors: 任楚岚 于振坤 关超 et al.

Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Jan2025, Vol. 42 Issue 1, p100-105. 6p.

Subject Terms: *KNOWLEDGE graphs, *AUTOENCODERS, *PROBLEM solving

System and method for multi-modal homomorphic compression

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization.

Authors: Chen, Chengliang Gong, Zhiqun

Source: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-19, 19p

Subject Terms: AESTHETIC judgment, FEATURE extraction, CUSTOM design, KNOWLEDGE transfer, MACHINE learning

EEG emotion recognition across subjects based on deep feature aggregation and multi-source domain adaptation.

Authors: Lin, Kunqiang Li, Ying He, Yiren et al.

Source: Cognitive Neurodynamics; 11/24/2025, Vol. 20 Issue 1, p1-18, 18p

scTFBridge: a disentangled deep generative model informed by TF-motif binding for gene regulation inference in single-cell multi-omics.

Authors: Wang, Feng-ao Yi, Chenxin Chen, Jiajun et al.

Source: Nature Communications; 10/15/2025, Vol. 16 Issue 1, p1-15, 15p

Subject Terms: TRANSCRIPTION factors, GENE regulatory networks, GENETIC regulation, GENERATIVE artificial intelligence, CHROMATIN, MULTIOMICS

Research on Active Defense of Facial Images in Deepfakes.

Authors: Zhang, Hanze

Source: ITM Web of Conferences; 9/8/2025, Vol. 78, p1-14, 14p