Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...
Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...
Figure 1. Conceptual illustration of label-free, multiphoton photoacoustic microscope (LF-MP-PAM). Near-infrared femtosecond laser enable us to observe endogenous NAD(P)H of neurons in brain slice and ...
Abstract: Class-incremental multi-label stream classification (class-incremental MLSC) requires learning algorithms to adapt to concept drifts, perform single-pass online learning, and handle emerging ...
Gene expression signatures (GES) derived from digital histology to predict pathologic complete response (pCR) to neoadjuvant chemotherapy (CT) in ISPY2 and other trial/real world cohorts. This is an ...
Unsupervised domain adaptation (UDA) aims to adapt a model learned from the source domain to the target domain. Thus, the model can obtain transferable knowledge even in target domain that does not ...
Early detection and treatment of visual impairment diseases are critical and integral to combating avoidable blindness. To enable this, artificial intelligence–based disease identification approaches ...
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