Special issue on multimedia recommendation and multi-modal data analysis
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Systems"
DOI: 10.1007/s00530-019-00639-3
Abstract: Rich multimedia contents are dominating the Web. In popular social media platforms such as FaceBook, Twitter, and Instagram, there are over millions of multimedia contents being created by users on a daily basis. In the… read more here.
Keywords: modal data; multimedia recommendation; multi modal; recommendation ... See more keywords
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of building engineering"
DOI: 10.1016/j.jobe.2020.101244
Abstract: Abstract Structural damage assessment is a challenging problem of study due to lack of information in data measurement and the difficulty of extracting noisy features from the structural responses. Therefore, this paper proposes an effective… read more here.
Keywords: dfnn method; method damage; modal data; truss ... See more keywords
Structured and Sparse Canonical Correlation Analysis as a Brain-Wide Multi-Modal Data Fusion Approach
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2681966
Abstract: Multi-modal data fusion has recently emerged as a comprehensive neuroimaging analysis approach, which usually uses canonical correlation analysis (CCA). However, the current CCA-based fusion approaches face problems like high-dimensionality, multi-collinearity, unimodal feature selection, asymmetry, and… read more here.
Keywords: data fusion; modal data; cca; multi modal ... See more keywords
Understand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3219363
Abstract: In Shannon theory, semantic aspects of communication were identified but considered irrelevant to the technical communication problems. Semantic communication (SC) techniques have recently attracted renewed research interests in $\rm 6^{th}$ generation (6G) wireless, because they… read more here.
Keywords: communication; semantic communication; multi modal; approach ... See more keywords
A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Civil Engineering"
DOI: 10.1155/2018/3183067
Abstract: Structural damage identification is a scientific field that has attracted a lot of interest in the scientific community during the recent years. There have been many studies intending to find a reliable method to identify… read more here.
Keywords: structural damage; damage identification; correlation; damage ... See more keywords
3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2023.1095330
Abstract: In this current era, biomedical big data handling is a challenging task. Interestingly, the integration of multi-modal data, followed by significant feature mining (gene signature detection), becomes a daunting task. Remembering this, here, we proposed… read more here.
Keywords: signature; multi modal; gene signature; method ... See more keywords
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.902452
Abstract: In the field of neuroscience, the core of the cohort study project consists of collection, analysis, and sharing of multi-modal data. Recent years have witnessed a host of efficient and high-quality toolkits published and employed… read more here.
Keywords: knowledge base; multi modal; modal data; frontiers neuroinformatics ... See more keywords
Dynamic Tracking of State Anxiety via Multi-Modal Data and Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2022.757961
Abstract: Anxiety induction is widely used in the investigations of the mechanism and treatment of state anxiety. State anxiety is accompanied by immediate psychological and physiological responses. However, the existing state anxiety measurement, such as the… read more here.
Keywords: anxiety; anxiety levels; modal data; multi modal ... See more keywords