[HTML][HTML] Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large …
Background A patient's health information is generally fragmented across silos because it
follows how care is delivered: multiple providers in multiple settings. Though it is technically …
follows how care is delivered: multiple providers in multiple settings. Though it is technically …
A privacy-preserving cross-media retrieval on encrypted data in cloud computing
Z Wang, J Qin, X Xiang, Y Tan, J Peng - Journal of Information Security and …, 2023 - Elsevier
Frequent cloud data breaches cause irreparable damage to cloud users and providers.
Cross-media retrieval can better leverage the value of data, but existing cross-media …
Cross-media retrieval can better leverage the value of data, but existing cross-media …
Cross media feature retrieval and optimization: A contemporary review of research scope, challenges and objectives
M Ayyavaraiah, B Venkateswarlu - Computational Vision and Bio-Inspired …, 2020 - Springer
Predictive analytics that learns from cross-media is one among the significant research
objectives of the contemporary data science strategies. The cross-media information …
objectives of the contemporary data science strategies. The cross-media information …
Hybrid deep learning approach for classifying Alzheimer disease based on multimodal data
A Shikalgar, S Sonavane - … in Engineering and Technology: Proceedings of …, 2020 - Springer
Alzheimer's disease (AD) is a category of dementia that is difficult to identify under clinical
supervision. Currently, there is no remedy for AD, but its initial indication is essential for …
supervision. Currently, there is no remedy for AD, but its initial indication is essential for …
Confederated machine learning on horizontally and vertically separated medical data for large-scale health system intelligence
Health information is generally fragmented across silos. Though it is technically feasible to
unite data for analysis in a manner that underpins a rapid learning healthcare system …
unite data for analysis in a manner that underpins a rapid learning healthcare system …
Cross-media web video event mining based on multiple semantic-paths embedding
X Xiao, M Du, S Xu, G Liu, C Zhang - Neural Computing and Applications, 2024 - Springer
Web video event mining based on cross-media fusion has become a research hotspot.
However, each video is only described by a dozen noisy words, resulting in extremely …
However, each video is only described by a dozen noisy words, resulting in extremely …
[引用][C] Joint graph regularization based semantic analysis for cross-media retrieval: a systematic review
M Ayyavaraiah, B Venkateswarlu - International Journal of Engineering & Technology, 2018