Lke Steliga Padilla, Marcus Phelps, real estate management and development ’26, graduated from the Community College of ...
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...
Discover the top resources for mastering how to draw acting and expressions—tutorials, books, and tools that help you capture emotion, gesture, and storytelling through character poses and faces. WWE ...
Abstract: For the issues of high training costs and limited generalization ability on small datasets in facial expression recognition models, a transfer learning method is proposed. This method ...
Professor Zhou's research group focuses on developing and applying new technologies to visualize spatial and temporal distributions of chemical modifications in the mammalian transcriptome at ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...
By borrowing knowledge and applying it locally, it makes accurate flood prediction more widely available. "Our goal was to create an efficient transfer learning method that leverages pre-trained deep ...
Rational use of adjuvant anti-PD-1: Multi-omics model of recurrence in stage III melanoma. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full ...
1 School of Management, Zunyi Medical University, Zunyi, China 2 School of Medical Information Engineering, Zunyi Medical University, Zunyi, China Introduction: Perceptual learning of complex stimulus ...
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