The cpiVAE learns a shared latent representation across different proteomics platforms. The model consists of platform-specific encoders and decoders connected through a shared latent space, allowing ...
Abstract: The microalga Nannochloropsis oculata was cultivated under controlled laboratory conditions, but cost and time constraints limited the number of experimental replicates to only 17. Previous ...
MAESTRO: Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
MAESTRO_FLAIR-HUB_base — pre-trained on FLAIR-HUB MAESTRO_S2-NAIP-urban_base — pre-trained on S2-NAIP-urban Land cover segmentation in France, with 12 semantic classes. Note that the FLAIR#2 version ...
Abstract: This study investigates the application of the Variational Autoencoder (VAE) model for classifying lung images obtained from chest X-ray data, with a primary focus on utilizing the encoder ...
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