Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a time series capturing medical interventions like mechanical ventilation, ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Robinson, Wei Zhang, Paul A. Northcott, Qian Li. High-resolution multi-omic dissociation of brain tumors with deep multimodal autoencoder [abstract]. In: Proceedings of the American Association for ...

Coal Power,Data-driven Models,Generalization Capability,Independent Component Analysis,Industrial Systems,Neural Network,Process Monitoring,Balance Equation,Capability Of Model,Curve Model,Data ...

Deep Learning,Design Of Antimicrobial Peptides,Discovery Of Peptides,Generation Sequencing,Generative Adversarial Networks,Independent Test Set,Language Model,Learning Rate,Loss Function,Low ...

3D MRI brain tumor segmentation using autoencoder regularization ... Unet++: A nested u-net architecture for medical image segmentation. In Deep Learning in Medical Image Analysis and Multimodal ...

Soyoung Lee, co-founder of TwelveLabs, tells TVBEurope how multimodal AI is opening new opportunities in content monetisation ...

Cohere updated its model Embed 4 so enterprises can make embeddings from multimodal data sources and even longer documents.