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Multiclass optimal classification trees with SVM-splits
In this paper we present a novel mathematical optimization-based methodology to construct tree-shaped classification rules for multiclass instances....
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QR code recognition based on HOG and multiclass SVM classifier
QR codes are often placed on complex backgrounds and under unstable illumination conditions, which in fact renders their localization and decoding...
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RPL-SVM: Making SVM Robust Against Missing Values and Partial Labels
With increased data availability, data quality is the biggest problem in using AI models. The data may suffer from missing values and noisy values....
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A model fusion approach for severity prediction of diabetes with respect to binary and multiclass classification
Diabetes Mellitus has impacted millions of people across the globe and continues with the same. It is caused due to increased blood sugar levels, as...
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are...
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Multiclass Classification of Disease Using CNN and SVM of Medical Imaging
This paper proposed a model that deals with automatic prediction of the disease given the medical imaging. While most of the existing models deals...
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Selected Deep Features and Multiclass SVM for Flower Image Classification
Flower classification and recognition is an exciting research area because extensive variety of flower classes have similar colour, shape and texture...
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A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions
This paper considers the problem of predicting vehicles smog rating by applying a novel Support Vector Machine (SVM) technique. Classical SVM-type...
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A network anomaly detection algorithm based on semi-supervised learning and adaptive multiclass balancing
With the rapid development of network technology, the Internet has brought significant convenience to various sectors of society, holding a prominent...
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Class binarization to neuroevolution for multiclass classification
Multiclass classification is a fundamental and challenging task in machine learning. The existing techniques of multiclass classification can be...
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Age Specific Analysis on Multiclass Sequential Curated-Electronic Health Records (MSC-EHR) for CAD Survival Prediction using Deep Learning Techniques
Early risk assessment is essential for addressing cardiovascular disease, a major healthcare issue. Accurate diagnosis is essential for prompt...
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Multimodal sentiment system and method based on CRNN-SVM
Traditional sentiment analysis focuses on text-level sentiment mining, transforming sentiment mining into classification or regression problems,...
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ABES: attention bi-directional ensemble SVM for early detection of brain tumors
Brain tumor is the most serious and deadly disease, and it is formed due to abnormal cell production. There are two different sorts of tumors...
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Multiclass CNN-based adaptive optimized filter for removal of impulse noise from digital images
Multiclass CNN-based window adaptive optimized filter has been proposed in this research work to remove impulse noise from colored images. Instead of...
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FPGA implementation of breast cancer detection using SVM linear classifier
The Support Vector Machine (SVM) can be used to perform linear and nonlinear operations to solve regression and classification problems. The SVM...
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Intrusion Detection System with SVM and Ensemble Learning Algorithms
One of the most effective methods of training a model for intrusion detection requires a very good selection of features from the data and efficient...
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Deep facial expression detection using Viola-Jones algorithm, CNN-MLP and CNN-SVM
Computer vision researchers are now studying the process of recognizing emotions from facial expressions. Our system is based on his three-step...
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Instance segmentation of real time video for object detection using hybrid Mask RCNN-SVM
Detection of real-world factors in digital photos and videos is one of the most important challenges in computer recognition for object detection....
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Using two-stream EfficientNet-BiLSTM network for multiclass classification of disturbing YouTube videos
YouTube video recommendation algorithm plays an important role in enhancing user engagement and profitability (or monetization), yet it struggles to...
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Enhancing cyberbullying detection: a comparative study of ensemble CNN–SVM and BERT models
Technological improvements have increased the number of people who use online social networking sites, resulting in an increase in cyberbullying....
