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| Time-Series Event Prediction with Evolutionary State Graph | May 10, 2019 | Graph Neural NetworkPrediction | CodeCode Available | 0 | 5 |
| Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability | Jun 9, 2025 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 | 5 |
| An urn model for majority voting in classification ensembles | Dec 1, 2016 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction | Jun 9, 2019 | Future predictionPrediction | CodeCode Available | 0 | 5 |
| Enhancing Stock Movement Prediction with Adversarial Training | Oct 13, 2018 | PredictionStock Prediction | CodeCode Available | 0 | 5 |
| Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification | Nov 6, 2024 | Dynamic Node ClassificationLink Prediction | CodeCode Available | 0 | 5 |
| Ensemble Learning via Knowledge Transfer for CTR Prediction | Nov 25, 2024 | Click-Through Rate PredictionEnsemble Learning | CodeCode Available | 0 | 5 |
| Decompressing Knowledge Graph Representations for Link Prediction | Nov 11, 2019 | Graph EmbeddingKnowledge Graph Embedding | CodeCode Available | 0 | 5 |
| Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference | Jun 21, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 | 5 |
