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Decoding Cognitive Health Using Machine Learning: A Comprehensive
  Evaluation for Diagnosis of Significant Memory Concern

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern

11 May 2024
M. Sajid
Rahul Sharma
I. Beheshti
M. Tanveer
ArXiv (abs)PDFHTMLGithub

Papers citing "Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern"

4 / 4 papers shown
RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
M. Sajid
M. Akhtar
A. Quadir
M. Tanveer
126
0
0
06 Oct 2025
Enhanced Feature Based Granular Ball Twin Support Vector Machine
Enhanced Feature Based Granular Ball Twin Support Vector Machine
A. Quadir
M. Sajid
M. Akhtar
P. N. Suganthan
225
2
0
08 Oct 2024
Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function
Wave-RVFL: A Randomized Neural Network Based on Wave Loss FunctionInternational Conference on Neural Information Processing (ICONIP), 2024
M. Sajid
A. Quadir
M. Tanveer
217
4
0
05 Aug 2024
Multiview learning with twin parametric margin SVM
Multiview learning with twin parametric margin SVMNeural Networks (NN), 2024
A. Quadir
M. Tanveer
289
15
0
04 Aug 2024
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