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Ensemble Learning with Highly Variable Class-Based Performance

https://doi.org/10.3390/make6040106
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-21678-7_15openalex-snapshot
Edammo’s Extreme AutoML Technology – Benchmarks and Analysis
inferredcites →https://doi.org/10.1007/978-3-319-14063-6_14openalex-snapshot
Extreme Learning Machine Ensemble Classifier for Large-Scale Data
inferredcites →https://doi.org/10.1007/bf00058655openalex-snapshot
Bagging predictors
inferredcites →https://doi.org/10.1007/s10115-012-0586-6openalex-snapshot
A weighted voting framework for classifiers ensembles
inferredcites →https://doi.org/10.1016/j.ijar.2011.12.011openalex-snapshot
The impact of diversity on the accuracy of evidential classifier ensembles
inferredcites →https://doi.org/10.1016/j.inffus.2004.04.008openalex-snapshot
Classifier selection for majority voting
inferredcites →https://doi.org/10.1016/j.ins.2011.09.015openalex-snapshot
Voting based extreme learning machine
inferredcites →https://doi.org/10.1016/j.ins.2013.02.030openalex-snapshot
A time series forest for classification and feature extraction
inferredcites →https://doi.org/10.1016/j.jfranklin.2016.08.024openalex-snapshot
Ensemble extreme learning machine and sparse representation classification
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1016/j.neucom.2009.02.013openalex-snapshot
Ensemble of online sequential extreme learning machine
inferredcites →https://doi.org/10.1016/j.neucom.2014.02.072openalex-snapshot
Class-specific soft voting based multiple extreme learning machines ensemble
inferredcites →https://doi.org/10.1016/j.neucom.2015.04.105openalex-snapshot
Parallel ensemble of online sequential extreme learning machine based on MapReduce
inferredcites →https://doi.org/10.1016/j.patcog.2010.07.021openalex-snapshot
Sparse ensembles using weighted combination methods based on linear programming
inferredcites →https://doi.org/10.1016/s0167-9473(01)00065-2openalex-snapshot
Stochastic gradient boosting
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1080/095400996116802openalex-snapshot
Actively Searching for an Effective Neural Network Ensemble
inferredcites →https://doi.org/10.1109/icacte.2010.5579726openalex-snapshot
Dynamic Adaboost ensemble extreme learning machine
inferredcites →https://doi.org/10.1109/icdmw.2006.18openalex-snapshot
A Probabilistic Ensemble Pruning Algorithm
inferredcites →https://doi.org/10.1109/icsess.2016.7883026openalex-snapshot
Improved ensemble learning for classification techniques based on majority voting
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207673openalex-snapshot
Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints
inferredcites →https://doi.org/10.1109/lsp.2010.2053356openalex-snapshot
Ensemble Based Extreme Learning Machine
inferredcites →https://doi.org/10.1109/tnnls.2021.3071122openalex-snapshot
Class-Imbalanced Deep Learning via a Class-Balanced Ensemble
inferredcites →https://doi.org/10.1109/tpami.2008.78openalex-snapshot
An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
Extreme Learning Machine for Regression and Multiclass Classification
inferredcites →https://doi.org/10.1109/ubmk.2019.8907028openalex-snapshot
A Weighted Majority Voting Ensemble Approach for Classification
inferredcites →https://doi.org/10.1142/s0219622006002258openalex-snapshot
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.24432/c59g75openalex-snapshot
Synthetic Control Chart Time Series
inferredcites →https://doi.org/10.24432/c59w2dopenalex-snapshot
Contraceptive Method Choice
inferredcites →https://doi.org/10.3127/ajis.v22i0.1538openalex-snapshot
Comparing sets of patterns with the Jaccard index
inferredcites →https://doi.org/10.3390/data7110146openalex-snapshot
Predicting Student Dropout and Academic Success
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0081openalex-snapshot
Sparse Representation for Signal Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Class-wise guided weighted soft voting for deep learning-based date palm nutrient deficiency classification
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104689openalex-snapshot
Fractional class-specific weighted random forest optimization
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A climate-smart suitability mapping framework for arid cities: Integrating machine learning and AHP to enhance vegetation resilience
inferred← citeshttps://doi.org/10.1038/s41598-025-20922-wopenalex-snapshot
Predicting visual aesthetic preferences in Tehran city universities campuses using machine learning techniques
inferred← citeshttps://doi.org/10.1109/cai64502.2025.00189openalex-snapshot
Automl Framework for Ensembling: Split Validation Sets for Coefficient and Structure Selection
inferred← citeshttps://doi.org/10.1109/cai64502.2025.00234openalex-snapshot
A Novel Modeling Focused Missing Data Imputation Framework
inferred← citeshttps://doi.org/10.1109/fmlds67896.2025.00097openalex-snapshot
VerseAge: A phenotypic age predictor based on a shallow random network architecture
inferred← citeshttps://doi.org/10.1109/fmlds67896.2025.00114openalex-snapshot
A novel graph neural network approach for predicting drug-target interactions
inferred← citeshttps://doi.org/10.1109/icad69378.2026.11608383openalex-snapshot
Validation-Conditioned Dynamic Ensemble Regression with Applications in Biomedical Data
inferred← citeshttps://doi.org/10.1109/icwt66752.2025.11181824openalex-snapshot
Forecasting Q-Factor in Free Space Optical Systems Using Machine Learning Across Different Visibility Levels
inferred← citeshttps://doi.org/10.1109/isitia66279.2025.11137517openalex-snapshot
Prediction of Bit Error Rate on Free-Space Optic Using Ensemble Learning Method Under Different Visibility Conditions
inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546018openalex-snapshot
Hybrid Intelligence: Fusing ML and DL for Robust News Verification
inferred← citeshttps://doi.org/10.3390/pr13072199openalex-snapshot
Carbon Capture Using Metal Organic Frameworks (MOFs): Novel Custom Ensemble Learning Models for Prediction of CO2 Adsorption
inferred← citeshttps://doi.org/10.3390/s25247671openalex-snapshot
Image-Based Recognition of Children’s Handwritten Arabic Characters Using a Confidence-Weighted Stacking Ensemble
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