In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

Deep learning model has the ability of automated feature extraction and feature reduction/selection. The present paper studies the performance of stacked sparse autoencoder (SSAE) on the multi-fault ...

Brief ciprofloxacin exposure in humans drives antibiotic resistance evolution in gut bacteria through selective sweeps, particularly involving DNA gyrase mutations, which persist long after ...