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Prediction

Papers

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Showing 1876–1900 of 8760 papers

TitleStatusHype
Conditional Shift-Robust Conformal Prediction for Graph Neural Network—0
CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction—0
Aggregating Algorithm for Prediction of Packs—0
Artificial Intelligence Enabled Material Behavior Prediction—0
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction—0
Deep Learning Driven Visual Path Prediction from a Single Image—0
Aggregated Sparse Attention for Steering Angle Prediction—0
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty—0
Artificial intelligence-based blockchain-driven financial default prediction—0
CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy—0
AudioVMAF: Audio Quality Prediction with VMAF—0
On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms—0
CPM-sensitive AUC for CTR prediction—0
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose—0
CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theory—0
Crack-Net: Prediction of Crack Propagation in Composites—0
Crash Severity Risk Modeling Strategies under Data Imbalance—0
Deep learning-enabled prediction of surgical errors during cataract surgery: from simulation to real-world application—0
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection—0
Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos—0
Conditional Prediction by Simulation for Automated Driving—0
Augmented smartphone bilirubinometer enabled by a mobile app that turns smartphone into multispectral imager—0
Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques—0
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities—0
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All datasetsQM9Synthetic

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RELATIONFORMEREdit Distance9.15—Unverified
2ANY2GRAPHEdit Distance3.44—Unverified
3FGWBARY-ILE + FDEdit Distance2.84—Unverified
4ANY2GRAPH + FDEdit Distance2.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CW-CNNRMSE1.15—Unverified
2CW-ATRMSE0.03—Unverified