Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Opinion
Learn With Jay on MSNOpinion

Deep learning regularization: Prevent overfitting effectively explained

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
EurekAlert!

Are state-of-the-art deep learning traffic prediction models truly effective?

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...
ascopubs.org

Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography

Developing and Validating an Automatic Support System for Tumor Coding in Pathology Reports in Spanish Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Deep Learning with Yacine on MSN

Digit recognition with deep learning — PyTorch beginner project

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
Analytics Insight

Best Tools to Visualize and Understand Machine Learning Models: Top Picks

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...