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Support vector machines

An ICEEMDAN and SAX-based method for determining English reading comprehension status using functional near-infrared spectroscopy signals

Ural Akincioglu, Onder Aydemir, Ahmet Cil, Muhammed Baydere

Analysis of aPTT predictors after unfractionated heparin administration in intensive care units using machine learning models

Tadashi Kamio, Masaru Ikegami, [ ... ], Kiyomitsu Fukaguchi

An illustration of multi-class roc analysis for predicting internet addiction among university students

Nishat Tasnim Thity, Atikur Rahman, [ ... ], Rumana Rois

DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative

Said A. Salloum, Khaled Mohammad Alomari, Ayham Salloum

Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx

Yicheng Long

FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data

Shuvo Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Muhammad Shahin Uddin

F-TransR: A sports event revenue prediction model integrating multi-modal and time-series data

Guibing You, Kelei Guo, [ ... ], Wei Zou

Applying binary mixed model to predict knee osteoarthritis pain

Helal El-Zaatari, Liubov Arbeeva, Amanda E. Nelson

Decoding basic emotional states through integration of an fNIRS-based brain–computer interface with supervised learning algorithms

Ayşenur Eser, Sinem Burcu Erdoğan

Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics

Rimsha Bibi, Noshaba Qasmi, Sajid Rashid

A severity classification model of cervical spondylotic radiculopathy symptoms based on MRI radiomics: A retrospective study

Xi Wang, Qiaoli Tao, [ ... ], Honglai Zhang

Enhancing diabetes risk prediction through focal active learning and machine learning models

Wangyouchen Zhang, Zhenhua Xia, [ ... ], Xutao Dong

Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data

Ali Golestani, Nazila Rezaei, [ ... ], Farshad Farzadfar

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