Latest Articles for Prediction

A new model aims to reduce health disparities in electronic records.

New methods help machines identify how people can interact with objects.

Introducing SimMST, a simpler framework for spatial-temporal data analysis.

A new approach to understanding and predicting smoking habits.

A new model combines neural networks and choice models for safer driving predictions.

A new model improves AI's ability to learn from user feedback.

A new method enhances model training despite noisy labels.

Machine learning and satellite data help us forecast future sea level changes.

Research shows transformer models can accurately predict GCD with proper training.

Evaluating the effectiveness of deep learning in molecular docking accuracy and plausibility.

A new method enhances motor imagery classification using EEG signals.

New method enhances visibility of blood vessels during surgical procedures.

New models predict protein stability and generate sequences effectively.

Research improves TCR structure prediction for better immune therapies.

A new method improves prediction of human trajectories in crowded spaces.

Improving Knowledge Graph Completion with advanced rule aggregation techniques.

A hybrid Vision Transformer improves EEG data analysis and eye movement prediction.

A deep learning model improves predictions of Arctic sea ice concentration.

Exploring methods to predict inflation using detailed data and modern techniques.

Exploring how mathematical tools affect society and ethics.

A new method enhances Bayesian neural networks for quick and reliable predictions.

A fresh approach enhances prediction accuracy in drug discovery using bioactivity data.

A new method in GNNs uses multiple vectors to improve predictions.

A new approach improves forecast accuracy using flexible weighting.

This study shows how LSTM networks can fill gaps in GRACE data.

AI can enhance predictions and improve prevention strategies for stroke.

A robust quantile regression method improves predictions in medical imaging tasks.

New method improves predictions of human movement for robots and smart vehicles.

Using advanced language models to identify key entities in written documents.

Understanding the layers and learning processes of the neocortex.

Counterfactual explanations clarify AI predictions by showing possible input changes.

RecycleNet improves neural network decision-making for better medical image predictions.

A new method integrates physics and deep learning to predict human movement accurately.

A new approach to improving traffic speed predictions during extreme events.

A new model estimates total infections using mobility data and demographic factors.

A new method to enhance predictions in Bayesian deep learning by focusing on key parameters.

A novel meta-learning model improves predictions with less data.

Study explores how to improve AI decision explanations for better patient understanding.

AI uncertainty quantification helps improve decision-making by informing users about prediction reliability.

A new method improves realistic 3D portraits under changing lighting.