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
Syntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-56081-9
Abstract: Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. Tailored solutions are mostly restricted to individual experimental setups and lack flexibility and interoperability. We present… read more here.
Keywords: modal data; data acquisition; acquisition; multi modal ... See more keywords
MFGaussian: multi-modal data fusion based 3D Gaussian splatting for accurate and robust scene representation
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2478584
Abstract: ABSTRACT At present, the widely used traditional three-dimensional (3D) reconstruction techniques are still insufficient to adapt to various diverse scenarios. Compared to traditional methods, emerging technologies like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting… read more here.
Keywords: scene; modal data; scene representation; gaussian splatting ... See more keywords
Gradient Inversion of Text-Modal Data in Distributed Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3522792
Abstract: Gradient inversion attacks (GIAs) pose significant challenges to the privacy-preserving paradigm of distributed learning. These attacks employ carefully designed strategies to reconstruct victim’s private training data from their shared gradients. However, existing work mainly focuses… read more here.
Keywords: attack; modal data; distributed learning; text modal ... 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
Abstract LB339: SYNERGIA Breast Cancer - Revolutionizing breast cancer care with multi-modal data integration for personalised treatment and future trials
Sign Up to like & getrecommendations! Published in 2025 at "Cancer Research"
DOI: 10.1158/1538-7445.am2025-lb339
Abstract: Data from clinical trials (CTs) drive advancements in clinical practice. Despite most CTs now incorporating extensive translational portfolios, the diverse modalities of clinical and sample data they generate often remain disconnected and underutilised. SYNERGIA is… read more here.
Keywords: cancer; breast cancer; breast; modal data ... See more keywords
Development of an AI model for predicting hypoxia status and prognosis in non-small cell lung cancer using multi-modal data
Sign Up to like & getrecommendations! Published in 2024 at "Translational Lung Cancer Research"
DOI: 10.21037/tlcr-24-982
Abstract: Background Prognosis prediction is crucial for non-small cell lung cancer (NSCLC) treatment planning. While tumor hypoxia significantly impacts patient outcomes, identifying hypoxic genomic markers remains challenging. This study sought to identify hypoxic computed tomography (CT)… read more here.
Keywords: modal data; lung cancer; radiomic features; model ... 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