IEEE

An Oversampling-Enhanced Multi-Class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-Reported Outcomes

Abstract: Patient-reported outcomes (PROs), directly captured from cancer patients undergoing radiation therapy, play a crucial role in guiding clinicians’ counseling on treatment-related toxicities.
IEEE

Multi-Class Dementia Classification Based on Gait Analysis and Machine Learning

Abstract: Dementia is a neurodegenerative disorder that affects millions of individuals around the world. Early diagnosis of dementia is crucial to provide timely intervention and management. Gait ...
IEEE

A Dual Learning Framework for Multi-Class Imbalanced Datasets with Limited Labeled Data

Abstract: The increasing availability of unlabeled data in real-world scenarios creates challenges for traditional supervised learning methods that rely heavily on labeled datasets. This work proposes ...
IEEE

Real-Time Detection and Multi-Class Classification of DGAs With HybridBERT

Abstract: Domain fluxing, a technique employed by attackers to evade conventional Command and Control detection, presents a significant challenge for cybersecurity. This technique leverages Domain ...
IEEE

Multi-class Classification for Natural Language Processing

Abstract: Multi-class classification is a current research area within machine learning, aimed at solving problems where input data is categorized into more than two classes. The dataset is in English ...
IEEE

QcNet: A Hybrid Quantum-Classical Neural Network for Multi-Class Image Classification

Abstract: Quantum Computing is a very promising paradigm given the ability that Quantum brings in terms of recognizing patterns which their classical counterparts very likely fail at.The intersection ...
IEEE

Evaluating CNN Depth for Multi-Class Bone Tumor Tissue Classification in Histopathology Images

Abstract: Artificial intelligence algorithms like the convolutional neural network (CNN) allow automated medical image analysis. However, accurate classification of tumour tissues in histopathological ...