AIMC Topic: 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. ...
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...
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...
Enhanced Binary Classification of Gait Disorders Using a Machine Learning Majority Voting Approach.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
This study introduces a machine learning-based methodology for classifying healthy individuals and those with gait disorders, employing a merged data set from 'GaitRec' and 'Gutenberg.' Key gait features were extracted from the normalized ground reac...
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