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Ensemble Learning

Papers

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Showing 1–50 of 1207 papers

TitleStatusHype
Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain GeneralizationCode0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments—0
Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks—0
RocketStack: A level-aware deep recursive ensemble learning framework with exploratory feature fusion and model pruning dynamics—0
A Model-Mediated Stacked Ensemble Approach for Depression Prediction Among Professionals—0
ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detection—0
An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia—0
ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025Code0
Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction—0
Spatiotemporal deep learning models for detection of rapid intensification in cyclones—0
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting—0
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well—0
The cost of ensembling: is it always worth combining?—0
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning—0
Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods—0
A SHAP-based explainable multi-level stacking ensemble learning method for predicting the length of stay in acute stroke—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech—0
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures—0
LengthLogD: A Length-Stratified Ensemble Framework for Enhanced Peptide Lipophilicity Prediction via Multi-Scale Feature Integration—0
iBitter-Stack: A Multi-Representation Ensemble Learning Model for Accurate Bitter Peptide IdentificationCode0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
Bayesian Ensembling: Insights from Online Optimization and Empirical BayesCode0
High-Dimensional Analysis of Bootstrap Ensemble Classifiers—0
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