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Ensemble Learning

Papers

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Showing 101–150 of 1207 papers

TitleStatusHype
Distinguishing Scams and Fraud with Ensemble Learning—0
Label Distribution Learning using the Squared Neural Family on the Probability Simplex—0
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIsCode1
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling—0
Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness—0
AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques—0
EMPATH: MediaPipe-Aided Ensemble Learning with Attention-Based Transformers for Accurate Recognition of Bangla Word-Level Sign LanguageCode0
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent BranchingCode0
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid—0
Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks—0
Task Progressive Curriculum Learning for Robust Visual Question Answering—0
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models—0
Ensemble Learning via Knowledge Transfer for CTR PredictionCode0
Efficient pooling of predictions via kernel embeddings—0
Multi-Token Enhancing for Vision Representation Learning—0
LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic AnnotationCode1
Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition—0
Defective Edge Detection Using Cascaded Ensemble Canny Operator—0
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy—0
LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning—0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models—0
An Explainable Machine Learning Approach for Age and Gender Estimation in Living Individuals Using Dental Biometrics—0
Input-Based Ensemble-Learning Method for Dynamic Memory Configuration of Serverless Computing Functions—0
Large-scale Remote Sensing Image Target Recognition and Automatic AnnotationCode1
Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound—0
Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learning—0
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning—0
An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting—0
Blending Ensemble for Classification with Genetic-algorithm generated Alpha factors and Sentiments (GAS)—0
A Natural Language Processing Approach to Support Biomedical Data Harmonization: Leveraging Large Language Models—0
Behavioral Sequence Modeling with Ensemble Learning—0
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers—0
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples—0
Ensemble learning of the atrial fiber orientation with physics-informed neural networks—0
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture ModelsCode2
Enhancing binary classification: A new stacking method via leveraging computational geometry—0
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation—0
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs—0
Inherently Interpretable Tree Ensemble Learning—0
Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches—0
DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning—0
Can Large Language Models Act as Ensembler for Multi-GNNs?—0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning—0
A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction—0
RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition—0
Offline Model-Based Optimization by Learning to RankCode1
A Human-Centered Approach for Improving Supervised Learning—0
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set ProgrammingCode0
Tübingen-CL at SemEval-2024 Task 1:Ensemble Learning for Semantic Relatedness Estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DCFAccuracy0.98—Unverified