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A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems
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inferredcites →https://doi.org/10.1016/0893-6080(95)00110-7openalex-snapshot
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inferredcites →https://doi.org/10.1080/00401706.1978.10489624openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/11875581_170openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-45428-4_13openalex-snapshot
New Measure of Classifier Dependency in Multiple Classifier Systems
inferred← citeshttps://doi.org/10.1007/978-1-4613-0231-5_25openalex-snapshot
Set Analysis of Coincident Errors and Its Applications for Combining Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-030-29859-3_25openalex-snapshot
Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity
inferred← citeshttps://doi.org/10.1007/978-3-030-77967-2_14openalex-snapshot
Clustering-Based Ensemble Pruning in the Imbalanced Data Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-59870-3_10openalex-snapshot
A New Malware Classification Approach Based on Malware Dynamic Analysis
inferred← citeshttps://doi.org/10.1007/978-3-540-72523-7_41openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-73007-1_29openalex-snapshot
ViSOM Ensembles for Visualization and Classification
inferred← citeshttps://doi.org/10.1007/978-3-540-73007-1_41openalex-snapshot
Particle Swarm Optimisation of Multiple Classifier Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-74972-1_21openalex-snapshot
Fusion of Visualization Induced SOM
inferred← citeshttps://doi.org/10.1007/978-3-540-75398-8_9openalex-snapshot
Democratic Liquid State Machines for Music Recognition
inferred← citeshttps://doi.org/10.1007/978-3-540-77226-2_73openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-77803-5openalex-snapshot
Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines
inferred← citeshttps://doi.org/10.1007/978-3-540-89689-0_84openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-12127-2_24openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10044-020-00867-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-017-5682-0openalex-snapshot
Discovering predictive ensembles for transfer learning and meta-learning
inferred← citeshttps://doi.org/10.1007/s11265-007-0074-5openalex-snapshot
The Dynamics of Negative Correlation Learning
inferred← citeshttps://doi.org/10.1016/j.ejmp.2015.08.003openalex-snapshot
Multiple RF classifier for the hippocampus segmentation: Method and validation on EADC-ADNI Harmonized Hippocampal Protocol
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.05.076openalex-snapshot
GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems
inferred← citeshttps://doi.org/10.1016/j.ifacol.2020.12.1280openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2004.04.008openalex-snapshot
Classifier selection for majority voting
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.12.012openalex-snapshot
Remote sensing image classification using an ensemble framework without multiple classifiers
inferred← citeshttps://doi.org/10.1016/j.patcog.2010.03.006openalex-snapshot
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
inferred← citeshttps://doi.org/10.1016/j.patcog.2010.04.013openalex-snapshot
Information theoretic combination of pattern classifiers
inferred← citeshttps://doi.org/10.1016/j.patcog.2011.06.014openalex-snapshot
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2012.10.021openalex-snapshot
How large should ensembles of classifiers be?
inferred← citeshttps://doi.org/10.1016/j.procs.2016.08.256openalex-snapshot
Local Learning for Multi-layer, Multi-component Predictive System
inferred← citeshttps://doi.org/10.1016/j.watres.2010.03.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-018-33456-1openalex-snapshot
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze
inferred← citeshttps://doi.org/10.1080/00031305.2013.778788openalex-snapshot
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inferred← citeshttps://doi.org/10.1108/17427371011097604openalex-snapshot
Performance evaluation of classifier ensembles in terms of diversity and performance of individual systems
inferred← citeshttps://doi.org/10.1109/access.2019.2938408openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cspis.2018.8642714openalex-snapshot
Teaming Up Pre-Trained Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/icbbe.2009.5163620openalex-snapshot
The Identification of Breast Mass Based on Multi-Agent Interactive Information Fusion Method
inferred← citeshttps://doi.org/10.1109/icif.2007.4408144openalex-snapshot
An empirical study on diversity measures and margin theory for ensembles of classifiers
inferred← citeshttps://doi.org/10.1109/icmla.2012.25openalex-snapshot
Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
inferred← citeshttps://doi.org/10.1109/icpr.2004.1334060openalex-snapshot
Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm
inferred← citeshttps://doi.org/10.1109/ijcnn.2014.6889810openalex-snapshot
New untrained aggregation methods for classifier combination
inferred← citeshttps://doi.org/10.1109/isdpe.2007.47openalex-snapshot
An Improvement of BAM in Storage Capacity and Error-Correction Capability
inferred← citeshttps://doi.org/10.1109/isdpe.2007.49openalex-snapshot
Provably Secure Password-Based Tripartite Key Exchange Protocol from Weil Pairing
inferred← citeshttps://doi.org/10.1109/tfuzz.2003.819842openalex-snapshot
"Fuzzy" versus "nonfuzzy" in combining classifiers designed by boosting
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3387544openalex-snapshot
New Bounds on the Accuracy of Majority Voting for Multiclass Classification
inferred← citeshttps://doi.org/10.1117/12.2217328openalex-snapshot
Investigating the effects of majority voting on CAD systems: a LIDC case study
inferred← citeshttps://doi.org/10.1117/12.844305openalex-snapshot
Multi-agent method for masses classification in mammogram
inferred← citeshttps://doi.org/10.1371/journal.pone.0276821openalex-snapshot
Identifying psychiatric diagnosis from missing mood data through the use of log-signature features
inferred← citeshttps://doi.org/10.1504/ijdmb.2016.082208openalex-snapshot
Tag SNP selection using clonal selection and majority voting algorithms
inferred← citeshttps://doi.org/10.1561/2200000093openalex-snapshot
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
inferred← citeshttps://doi.org/10.18178/ijmlc.2018.8.1.655openalex-snapshot
Random Rule Sets – Combining Random Covering with the Random Subspace Method
inferred← citeshttps://doi.org/10.4137/ebo.s10580openalex-snapshot
A Tool Preference Choice Method for RNA Secondary Structure Prediction by SVM with Statistical Tests
inferred← citeshttps://doi.org/10.4137/ebo.s11975openalex-snapshot
Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
inferred← citeshttps://doi.org/10.48550/arxiv.2007.10818openalex-snapshot
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