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Papers

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Showing 2401–2450 of 8760 papers

TitleStatusHype
Center Prediction Loss for Re-identification—0
A novel transformer-based approach for soil temperature prediction—0
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction—0
CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers—0
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction—0
Emotion-Aware Human Attention Prediction—0
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography—0
Cellular Traffic Prediction Using Online Prediction Algorithms—0
Adversarial Resilience in Sequential Prediction via Abstention—0
CD-split and HPD-split: efficient conformal regions in high dimensions—0
CDNet: A cascaded decoupling architecture for video prediction—0
A Novel Prediction Setup for Online Speed-Scaling—0
A Consistent Regularization Approach for Structured Prediction—0
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction—0
Adversarial Refinement Network for Human Motion Prediction—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
A consistent deterministic regression tree for non-parametric prediction of time series—0
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances—0
A Novel Markov Model for Near-Term Railway Delay Prediction—0
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction—0
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution—0
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information—0
Adversarial Prediction Games for Multivariate Losses—0
A Boosted Machine Learning Framework for the Improvement of Phase and Crystal Structure Prediction of High Entropy Alloys Using Thermodynamic and Configurational Parameters—0
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis—0
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care—0
A novel improved fuzzy support vector machine based stock price trend forecast model—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction—0
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting—0
A Conformal Prediction Approach to Explore Functional Data—0
Causal Lifting and Link Prediction—0
Causality Refined Diagnostic Prediction—0
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications—0
A Novel Framework for Significant Wave Height Prediction based on Adaptive Feature Extraction Time-Frequency Network—0
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities—0
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction—0
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery—0
Causality-based CTR Prediction using Graph Neural Networks—0
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification—0
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge—0
Causality and Generalizability: Identifiability and Learning Methods—0
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge—0
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case—0
Emergency Department Optimization and Load Prediction in Hospitals—0
Causal Graph Neural Networks for Wildfire Danger Prediction—0
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments—0
Causal Future Prediction in a Minkowski Space-Time—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