Latest Articles for Predictive Analytics

A study on using predictive uncertainty to reduce catastrophic forgetting in machine learning models.

Combining multiple models leads to more accurate predictions.

A new hybrid approach boosts the accuracy of oil price predictions using deep learning.

Examining how to improve certainty in AI predictions through conflictual loss.

MEDFuse combines structured and unstructured data for better health outcome predictions.

A new method enhances prediction efficiency using entropy-based reweighting.

NCP simplifies learning conditional probabilities for better decision-making across fields.

A new method enhances neural networks for clustered data analysis.

A new method for identifying change points in data patterns using continuous optimization.

Machine learning tools like CHGNet reshape materials research and predictions.

A new framework enhances app prediction through advanced data integration techniques.

Introducing CNES for efficient link prediction in changing networks.

Exploring self-distillation's benefits and applications in enhancing machine learning models.

A new method for safer predictions in critical applications.

GLEAMS offers clear local and global explanations for machine learning predictions efficiently.

SGMCMC and meta-learning enhance Bayesian Neural Networks for better predictions.

A new method approximates neural networks for better uncertainty analysis.

A new approach uses language data to enhance problem diagnosis in industrial systems.

This study examines counterfactual explanations and the impact of balancing techniques on student success predictions.

A novel method to enhance data discovery and analysis for better predictions.

Discover how predicting career trajectories can shape job opportunities for everyone.

A new method reveals insights into prediction errors and model complexity.

A look into the types and measurement of uncertainty in predictions.

Leveraging data for better forecasts in collaborative processes.

This paper explores how bootstrap methods enhance stability and robustness in SGD models.

A look into the learning and manipulation of time series models.

New techniques improve early prediction of chronic health issues using patient data.

A new method for selecting statistical models aims for simplicity and improved accuracy.

Study uses AI to improve predictions of low birth weight in newborns.

Enhancing predictions through weighted Test-Time Augmentation methods.

New methods improve event prediction in temporal knowledge graphs.

Effective visualizations help convey uncertain predictions for better decision-making.

New methods improve the accuracy of estimating conditional densities in complex data.

New method enhances prediction reliability for diverse groups in high-stakes scenarios.

A look into extreme multi-label classification and its calibration strategies.

Discover a method that improves model selection and predictions in statistics.

Leveraging single-visit health records to improve patient outcome predictions.

A look at how bouncy balls can reveal complex behavior in chaotic systems.

A look into Scalar-on-Shape regression and its applications.

A new model improves financial data analysis and predictions.