AIMC Topic: Voting

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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

PloS one Jan 9, 2025
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various ma...
Bayes Theorem Stroke Support Vector Machine Decision Trees Voting Humans Machine Learning Algorithms ROC Curve
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Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Facial expression recognition (FER) in the wild is a challenging pattern recognition task affected by the images' low quality and has attracted broad interest in computer vision. Existing FER methods failed to obtain sufficient accuracy to support th...
Facial Expression Voting Automated Facial Recognition Pattern Recognition, Automated Neural Networks, Computer Humans Algorithms
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Late feature fusion using neural network with voting classifier for Parkinson's disease detection.

BMC medical informatics and decision making Sep 27, 2024
Parkinson's disease (PD) is classified as a neurological, progressive illness brought on by cell death in the posterior midbrain. Early PD detection will assist doctors in reducing the disease's consequences. A collection of skilled models that may b...
Handwriting Voting Parkinson Disease Early Diagnosis Humans Neural Networks, Computer Machine Learning
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Can biased search results change people's opinions about anything at all? a close replication of the Search Engine Manipulation Effect (SEME).

PloS one Mar 26, 2024
In previous experiments we have conducted on the Search Engine Manipulation Effect (SEME), we have focused on the ability of biased search results to shift voting preferences. In three new experiments with a total of 1,137 US residents (mean age = 33...
Search Engine Voting Humans Adult Politics Artificial Intelligence Attitude
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Artificial intelligence in tongue diagnosis: classification of tongue lesions and normal tongue images using deep convolutional neural network.

BMC medical imaging Mar 8, 2024
OBJECTIVE: This study aims to classify tongue lesion types using tongue images utilizing Deep Convolutional Neural Networks (DCNNs).
Humans Neural Networks, Computer Tongue Voting Artificial Intelligence Hospitalization
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Classification of EMG signals with CNN features and voting ensemble classifier.

Computer methods in biomechanics and biomedical engineering Feb 5, 2024
Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying hand gestures efficiently with EMG signals presents numerous challenges. In addition to overcoming these challenges, a successful combination of feature extrac...
Humans Neural Networks, Computer Hand Electromyography Voting Algorithms Signal Processing, Computer-Assisted
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An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics Feb 5, 2024
Semi-supervised learning methods have been explored to mitigate the scarcity of pixel-level annotation in medical image segmentation tasks. Consistency learning, serving as a mainstream method in semi-supervised training, suffers from low efficiency ...
Supervised Machine Learning Image Processing, Computer-Assisted Voting
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Zero-shot 3D anomaly detection via online voter mechanism.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
3D anomaly detection aims to solve the problem that image anomaly detection is greatly affected by lighting conditions. As commercial confidentiality and personal privacy become increasingly paramount, access to training samples is often restricted. ...
Neural Networks, Computer Algorithms Imaging, Three-Dimensional Humans Voting
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A robust ensemble framework for anticancer peptide classification using multi-model voting approach.

Computers in biology and medicine Apr 1, 2025
Anticancer peptides (ACPs) hold great potential for cancer therapeutics, yet accurately identifying them remains a challenging task due to the complexity of peptide sequences and their interactions with biological systems. In this study, we propose a...
Neoplasms Databases, Protein Peptides Machine Learning Voting Antineoplastic Agents Algorithms Computational Biology Humans
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MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides.

Briefings in bioinformatics Sep 23, 2024
Inflammatory responses may lead to tissue or organ damage, and proinflammatory peptides (PIPs) are signaling peptides that can induce such responses. Many diseases have been redefined as inflammatory diseases. To identify PIPs more efficiently, we ex...
Computational Biology Humans Inflammation Algorithms Machine Learning Voting Peptides Software
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