Ensemble Learning

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    Dynamic Routing Mixture of Experts

    • Confidence-Based Two-Stage Cascade Classifier

      Mid
    • Dynamic Classifier Selection by Local Accuracy

      Senior
    • Vectorized Mixture-of-Experts with Top-k Gating

      Senior

    Voting Averaging

    • Weighted Rank Averaging With Ties

      Junior
    • Weighted Soft-Voting Classifier

      Junior
    • Averaging Ensemble Versus Best Single Regressor

      Junior
    • Weighted Hard-Voting Classifier

      Mid
    • Weighted Geometric-Mean Probability Ensemble

      Mid

    Diversity Selection Pruning

    • Caruana Greedy Ensemble Selection

      Mid
    • Prune Correlated Ensemble Members by Spearman

      Mid
    • Ensemble Diversity Diagnostics

      Senior
    • Margin-Based Greedy Ensemble Pruning

      Senior

    Stacking Blending

    • Stacking Classifier Versus Its Base Models

      Junior
    • Stacking Classifier with Out-of-Fold Meta-Features

      Mid
    • Blending Classifier with Best-Member Fallback

      Mid
    • Passthrough Stacking Regressor with ElasticNet Meta-Model

      Senior
    • Two-Tier Stacking With Shared Folds

      Senior

    Deep Ensembles Uncertainty

    • Seed-Averaging Ensemble Size Curve

      Junior
    • Snapshot Ensemble with Cyclic Cosine Schedule

      Mid
    • Deep Ensemble Uncertainty Decomposition and OOD Flags

      Senior

    Ensemble Weighting Calibration Deployment

    • Optimal Simplex Ensemble Weights

      Mid
    • Calibrated Soft Voting with Platt and Isotonic

      Mid
    • Fault-Tolerant Weighted Soft Voting

      Senior
    • Distill an Ensemble Into a Student

      Senior
    • Bayesian Model Averaging with BIC Weights

      Senior