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Ensemble Learning

Papers

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Showing 26–50 of 1207 papers

TitleStatusHype
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-TuningCode0
EnsembleCI: Ensemble Learning for Carbon Intensity ForecastingCode0
A Self-Supervised Transformer for Unusable Shared Bike Detection—0
An introduction to R package `mvs`—0
An island-parallel ensemble metaheuristic algorithm for large graph coloring problems—0
Enhancing Cocoa Pod Disease Classification via Transfer Learning and Ensemble Methods: Toward Robust Predictive Modeling—0
Mamba-Based Ensemble learning for White Blood Cell ClassificationCode0
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning—0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs—0
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks—0
Machine Learning Solutions Integrated in an IoT Healthcare Platform for Heart Failure Risk Stratification—0
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera DataCode0
A Unified Virtual Mixture-of-Experts Framework:Enhanced Inference and Hallucination Mitigation in Single-Model System—0
A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection—0
Asset price movement prediction using empirical mode decomposition and Gaussian mixture models—0
Centroid Decision Forest—0
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks—0
Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety AssessmentCode1
AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach—0
UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning—0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
Sparse identification of nonlinear dynamics with high accuracy and reliability under noisy conditions for applications to industrial systems—0
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DCFAccuracy0.98—Unverified