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Classifier subset selection based on classifier representation and clustering ensemble
Ensemble pruning can improve the performance and reduce the storage requirements of an integration system. Most ensemble pruning approaches remove...
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Improving Dementia Prediction Using Ensemble Majority Voting Classifier
Early detection of dementia patients in advance is a great concern for the physicians. That is why physicians make use of multi modal data to...
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Ensemble learning with weighted voting classifier for melanoma diagnosis
Melanoma, the most lethal type of skin cancer, presents a substantial public health challenge. Detecting melanoma promptly is paramount for enhancing...
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Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning
With the rise of online shopping due to the COVID-19 pandemic, Recommender Systems have become increasingly important in providing personalized...
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Multimodal Perturbation and Cluster Pruning Based Selective Ensemble Classifier and Its Iron Industrial Application
The selective ensemble aims to search the optimal subset balanced accuracy and diversity from the original base classifier set to construct an...
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Enhancing dynamic ensemble selection: combining self-generating prototypes and meta-classifier for data classification
In dynamic ensemble selection (DES) techniques, the competence level of each classifier is estimated from a pool of classifiers, and only the most...
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VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models
In this work, VoteDroid a novel fine-tuned deep learning models-based ensemble voting classifier has been proposed for detecting malicious behavior...
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Sentiment prediction model in social media data using beluga dodger optimization-based ensemble classifier
Twitter has developed into a significant social media network and is a topic of great interest for sentiment analysis researchers. Twitter is a...
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Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier
PurposeCancer is caused when abnormal cells grow severely, go beyond their normal regions to invade adjoining parts of the body, and spread to other...
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An empirical framework for detecting speaking modes using ensemble classifier
Detecting the speaking modes of human is an important cue in many applications, including detecting active/inactive participants in video...
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Ensemble classifier fostered detection of arrhythmia using ECG data
Electrocardiogram (ECG) is a non-invasive medical tool that divulges the rhythm and function of the human heart. This is broadly employed in heart...
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Automated multi-class skin cancer classification using white shark optimizer with ensemble learning classifier on dermoscopy images
The most prevalent cancer around the world is Skin cancer (SC). Clinical assessment of skin lesions is essential to evaluate the features of the...
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Breast cancer histopathology image classification using an ensemble of optimized pretrained models with a trainable ensemble strategy classifier
PurposeBreast cancer stands among the crucial health problems and is deemed the second foremost reason of cancer in the world. Premature detection of...
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An Optimally Selective Ensemble Classifier Based on Multimodal Perturbation and Its Application
The selective ensemble aims to search the optimal subset balanced accuracy and diversity from the original base classifier set to construct an...
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A novel hybrid CNN-KNN ensemble voting classifier for Parkinson’s disease prediction from hand sketching images
Parkinson's disease is a progressive neurodegenerative disorder that causes significant physical disabilities and reduces the quality of life. This...
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A novel bayesian network-based ensemble classifier chains for multi-label classification
In this paper, we address the challenges of random label ordering and limited interpretability associated with Ensemble Classifier Chains (ECC) by...
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Unleashing the power of machine learning in cancer analysis: a novel gene selection and classifier ensemble strategy
PurposeGlobally, cancer is the second largest cause of mortality. For the improvement of cancer diagnosis, gene expression data plays a significant...
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Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law
Previous research endeavors aimed at enhancing the predictive accuracy of early warning systems for enterprise financial risks have primarily focused...
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An efficient security testing for android application based on behavior and activities using RFE-MLP and ensemble classifier
An enormous amount of applications that are available for download permits users to enhance the functionality of the devices with brand-new features,...
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Pneumonia detection in chest x-ray images using an optimized ensemble with XGBoost classifier
Pneumonia is regarded as the top killer of children amongst all other infectious diseases by causing nearly 700,000 deaths to children aged under...
