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Prediction

Papers

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Showing 1951–2000 of 8760 papers

TitleStatusHype
Demo2Vec: Learning Region Embedding with Demographic Information—0
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks—0
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking—0
Cross-domain Trajectory Prediction with CTP-Net—0
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks—0
Large Volatility Matrix Prediction using Tensor Factor Structure—0
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control—0
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty—0
On the Adaptation to Concept Drift for CTR Prediction—0
A roadmap to fair and trustworthy prediction model validation in healthcare—0
On the Quality Requirements of Demand Prediction for Dynamic Public Transport—0
Age Prediction From Face Images Via Contrastive Learning—0
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context—0
Curriculum-Based Neighborhood Sampling For Sequence Prediction—0
Automated CVE Analysis for Threat Prioritization and Impact Prediction—0
Customer Churn Prediction Model using Explainable Machine Learning—0
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction—0
Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketing—0
Customer Support Ticket Escalation Prediction using Feature Engineering—0
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving—0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting—0
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning—0
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes—0
Cyberattack Detection for Nonlinear Leader-Following Multi-Agent Systems Using Set-Membership Fuzzy Filtering—0
Cybercrime Prediction via Geographically Weighted Learning—0
DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction—0
Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate—0
Computer-aided diagnosis and prediction in brain disorders—0
Automated Stock Price Prediction Using Machine Learning—0
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems—0
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction—0
Dam Volume Prediction Model Development Using ML Algorithms—0
Delay Embedded Echo-State Network: A Predictor for Partially Observed Systems—0
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction—0
Data Augmentation for Seizure Prediction with Generative Diffusion Model—0
Delving Deeper into MOOC Student Dropout Prediction—0
Data-Augmented Numerical Integration in State Prediction: Rule Selection—0
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach—0
Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction—0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction—0
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning—0
Data-driven and machine-learning based prediction of wave propagation behavior in dam-break flood—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Data-driven forecasting of solar irradiance—0
Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data—0
Data-Driven Method for Enhanced Corrosion Assessment of Reinforced Concrete Structures—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
Data-Driven Microstructure Property Relations—0
Data-driven Models to Anticipate Critical Voltage Events in Power Systems—0
Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification—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