Large-scale extracellular recording techniques have advanced the study of neuronal circuits but lack methods to reliably identify cell types while scaling to thousands of neurons. We introduce ...

Has anyone compared nnU-Net trained as a single model on 100% of the training data vs. the default 5-fold CV ensemble (5×80%)? I wonder how much accuracy is actually lost or gained, given the big ...

aElse Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany bDepartment of Medicine I, Faculty ...

Abstract: Cross-scene hyperspectral image classification has achieved favorable outcomes in the domain adaptation of deep learning. However, transferring the sample features learned from the source ...

K-Fold cross validation is popular in machine learning, but it’s not always the best choice. Discover the limitations and pitfalls of K-Fold CV, and learn when alternative validation methods might ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...

Researchers are tracking pythons with accelerometers to learn how they move and eat. Burmese pythons are connected with a 90% decrease in mammals in the Florida Everglades. Conservationists use ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

WESTFIELD, NJ — The school board approved curricula for several new courses to be offered at Westfield Public Schools during its meeting last month. Board member Kristen Sonnek-Schmelz, who heads the ...

Abstract: Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims to learn modality-invariant features from unlabeled cross-modality data. However, existing approaches lack ...