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Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach. [PDF]
Sci RepYadalam PK +3 more
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Applications of AI to single-cell and spatial transcriptomics: current state-of-the-art and challenges. [PDF]
Front BioinformTchatchoua Ngassam B +4 more
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Comprehensive framework of machine learning and deep learning architectures with metaheuristic optimization for high-fidelity prediction of nanofluid specific heat capacity. [PDF]
Sci RepMathur P +4 more
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2020
The study of psychiatric and neurologic disorders typically involves the acquisition of a wide range of different types of data, such as brain images, electronic health records, and mobile phone sensors data. Each type of data has its unique temporal and spatial characteristics, and the process of extracting useful information from them can be very ...
Lopez Pinaya, Walter Hugo +3 more
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The study of psychiatric and neurologic disorders typically involves the acquisition of a wide range of different types of data, such as brain images, electronic health records, and mobile phone sensors data. Each type of data has its unique temporal and spatial characteristics, and the process of extracting useful information from them can be very ...
Lopez Pinaya, Walter Hugo +3 more
+5 more sources
Geometry Regularized Autoencoders
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023A fundamental task in data exploration is to extract low dimensional representations that capture intrinsic geometry in data, especially for faithfully visualizing data in two or three dimensions. Common approaches use kernel methods for manifold learning.
Andres F. Duque +3 more
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Autoencoder in Autoencoder Networks
IEEE Transactions on Neural Networks and Learning SystemsModeling complex correlations on multiview data is still challenging, especially for high-dimensional features with possible noise. To address this issue, we propose a novel unsupervised multiview representation learning (UMRL) algorithm, termed autoencoder in autoencoder networks (AE2-Nets).
Changqing Zhang +5 more
openaire +2 more sources