Abstract: In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives, critical in safety-critical domains (e.g., ...
Learn With Jay on MSNOpinion
Supervised learning made easy: Real-world example explained
In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...
Abstract: This study explores the application of supervised and unsupervised autoencoders (AEs) to automate nuclei classification in clear cell renal cell carcinoma (ccRCC) images, a critical ...
Objective or purpose: To investigate an ensemble-based approach utilizing deep learning models for accurate and interpretable detection of Macular Telangiectasia Type 2 (MacTel) on optical coherence ...
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