Latest Articles for Prediction

A challenge to predict deaths in armed conflicts with a focus on uncertainty.

Introducing a method to estimate model performance without relying on training data.

A new model improves handling missing textual data in datasets.

A new method enhances MRI accuracy for Alzheimer's diagnosis using individual patient data.

Exploring AI's role in finding new uses for existing drugs in rare diseases.

Explore the four-step Bayesian workflow for improved ecological modeling.

Orca improves wave height estimation using limited buoy data and machine learning.

A new framework improves predictive modeling by merging varied engineering data sources.

AdapTable improves model predictions amid changing table data without retraining.

Assessing biases in machine learning can lead to fairer outcomes for all.

Research reveals predictive models for better Parkinson’s treatment through beta burst analysis.

Examining how predictions affect collective behavior and social well-being.

Machine learning offers new insights into systemic sclerosis, improving diagnosis and treatment.

Learn how predictions can enhance search strategies in various environments.

This study reveals how personal beliefs influence perceptions of AI predictions.

A look at how optical reservoir computing improves stock price forecasting.

HyperCAN uses machine learning to model and predict metamaterial behavior effectively.

Small language models improve healthcare by integrating diverse patient data.

A new model improves traffic predictions following crashes for better management.

Exploring the explainability issues in Graph Neural Networks and potential solutions.

This framework enhances predictions by focusing on real causal relationships in event data.

A new framework enhances the modeling of soft robots for better predictions.

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.