This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
imagenet └── train/ ├── n01440764 ├── n01440764_10026.JPEG ├── n01440764_10027.JPEG ├── ... ├── n01443537 ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: This book fills a gap in the existing literature for a serious presentation of numerical linear algebra that is accessible to undergraduates who have taken a basic course in linear algebra.
The Token Probability Visualizer is a web application that allows you to visualize token probabilities from OpenAI models. You can see the probability of each token in a generated response, with color ...
Abstract: Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed ...
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