Visual Studio Magazine

Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions

Following new best practices, Dr. James McCaffrey of Microsoft Research revisits multi-class classification for when the variable to predict has three or more possible values. This is the second of ...
Devdiscourse

Large language models move closer to clinical use in nutrition assessment

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
TechCrunch

Intuit’s Data Classification Challenge: Setting a New Standard for Data Security

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...
Oncology Nurse Advisor

Intelligent Model Improves Accuracy of Radiation Dermatitis Grading

A grading model for radiation dermatitis achieved high overall accuracy; however, sensitivity and specificity varied across grades but were more balanced in grade 4 dermatitis.
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Visual Studio Magazine

Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions

Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...