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Ensemble Learning

Papers

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Showing 701–750 of 1207 papers

TitleStatusHype
Inf-CP: A Reliable Channel Pruning based on Channel Influence—0
Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning—0
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision TreesCode0
Solving Soft Clustering Ensemble via k-Sparse Discrete Wasserstein Barycenter—0
Factor-augmented tree ensemblesCode0
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\—0
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data—0
A Simple General Method for Detecting Textual Adversarial Examples—0
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One—0
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection ModelsCode0
BagBERT: BERT-based bagging-stacking for multi-topic classificationCode0
Complementary Ensemble Learning—0
Stain-free Detection of Embryo Polarization using Deep Learning—0
Predictive Model for Gross Community Production Rate of Coral Reefs using Ensemble Learning Methodologies—0
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Quantum Boosting using Domain-Partitioning HypothesesCode0
Noise-Resilient Ensemble Learning using Evidence Accumulation Clustering—0
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning—0
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis—0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in textCode0
Dynamically Decoding Source Domain Knowledge for Domain Generalization—0
A Study on Contextualized Language Modeling for Machine Reading Comprehension—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series—0
Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity—0
Efficient Ensembles of Graph Neural Networks—0
Representation Topology Divergence: A Method for Comparing Neural Network Representations.—0
Deep Ensemble Policy Learning—0
SANE: Specialization-Aware Neural Network Ensemble—0
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds—0
Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set ProgrammingCode0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
Reliable Neural Networks for Regression Uncertainty Estimation—0
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learningCode0
Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learningCode0
FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesCode0
Under-bagging Nearest Neighbors for Imbalanced Classification—0
Asynchronous Federated Learning for Sensor Data with Concept Drift—0
Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm—0
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation—0
Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning—0
Evolutionary Ensemble Learning for Multivariate Time Series Prediction—0
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification—0
Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks—0
Cascade Bagging for Accuracy Prediction with Few Training SamplesCode0
Efficient Majority Voting in Digital Hardware—0
Auxiliary Class Based Multiple Choice Learning—0
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DCFAccuracy0.98—Unverified