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 ...
More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to ...
Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...
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 ...
Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Abstract: Recently, some works integrate SSL techniques into deep clustering frameworks to enhance image clustering performance. However, they all need pretraining, clustering learning, or a trained ...
1 Department of Urology, The First Hospital of China Medical University, Shenyang, China 2 Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Introduction: ...
An end-to-end machine learning project to predict Autism Spectrum Disorder (ASD) risk in adults. Features a full ETL pipeline, comparative analysis of unsupervised & supervised models, and a final ...
In the field of affective computing (Muhl C. and G., 2014), automatic emotion recognition (AER) (Stern, 2002) has gained significant attention (Kim et al., 2013; Zhang et al., 2013), especially for ...
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