Latest Articles for Prediction

A fresh approach improves accuracy in estimating biological age from DNA methylation.

Data Space Inversion improves prediction accuracy for geothermal energy management.

A look at custom data preprocessing for better COVID-19 mortality predictions.

WINO offers faster and more efficient predictions for electric fields across varied wavelengths.

New machine learning tool predicts fluid behavior around complex shapes.

Examining how humans and machines can collaborate for better decision-making outcomes.

Enhancing asset return predictions through causal feature selection in unstable markets.

Hyperstroke revolutionizes drawing assistance by focusing on stroke details.

GP-KAN merges Gaussian Processes and Kolmogorov-Arnold Networks for efficient predictions.

A detailed look at beta functions in physics and their role in quartic interactions.

A new model improves sequence prediction by capturing rich data connections.

A new approach enhances uncertainty quantification in machine learning models.

Discover how protein language models aid in predicting protein behaviors and functions.

This study examines the reliability of rationalization models under adversarial attacks.

A new method enhances reduced-order models using Bayesian learning and Gaussian processes.

Methods using hypernetworks excelled in predicting asset returns in recent competitions.

DeTPP improves long-term event predictions across various fields with diverse outcomes.

A fresh approach to better predict human movements in urban areas.

New methods improve accuracy in predicting enzyme functions and reactions.

This framework improves lie detection in conversations during Diplomacy games.

A new method improves reasoning in large language models by addressing attestation bias.

A study on using bounding boxes for predicting object behavior in changing environments.

NeuralMPM speeds up material simulations using deep learning techniques.

New methods improve tensor completion accuracy with fewer samples.

Combining search data with reports improves dengue predictions.

TG-PhyNN combines neural networks and physical laws for better predictions.

Methods to improve confidence in AI predictions for medical images.

Efforts to enhance malaria outbreak predictions for better public health responses.

Machine learning improves predictions and monitoring in biopharmaceutical manufacturing.

New method enhances long-term wind power forecasts using turbine locations and climate data.

A new framework enhances social media data analysis for better user insights.

Combining tissue images and genetic data to improve cancer survival predictions.

Analyzing gun violence patterns to improve community safety strategies.

A new method improves cancer tissue classification using vision-language models.

Exploring the limits of prediction in chaotic systems and their implications.

A novel approach enhances accuracy of climate predictions by addressing unobserved factors.

Combining active learning and Bayesian modeling enhances predictions in data-scarce engineering fields.

A straightforward approach to predict the solubility of chemical compounds in water.

New model improves predictions of human emotions despite sparse data challenges.

Machine learning techniques are enhancing simulations of quantum spin systems using Fourier Neural Operators.