Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...
MIAFEx is a Transformer-based extractor for medical images that refines the [CLS] token to produce robust features, improving results on small or imbalanced datasets and supporting feature selection ...
Spectrometers analyze light-matter interactions across a range of wavelengths, serving as vital tools in scientific research and industries. Historically constrained by large size, complexity, and ...
I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...
Abstract: Mobile signaling data has been used to discover comprehensive and fine-grained patterns of individual travel activities. However, mobile signaling data often exhibits notable data quality ...
We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
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