Peer-reviewedCC BYDiagnostics (Basel, Switzerland)
A Reproducible Benchmark for Leakage-Resistant Machine Learning on Multi-Site Brain Connectivity Graphs
4 affiliations
- 1Center of Data Science, Government College University Faisalabad, Faisalabad 38000, Pakistan;
- 2Department of Software Engineering, Government College University Faisalabad, Faisalabad 38000, Pakistan;
- 3Faculty of Computer Studies, Arab Open University, A’ali P.O. Box 18211, Bahrain
- 4Department of Computer Engineering, Sivas University of Science and Technology, Sivas 58000, Türkiye; (C.A.); (F.A.)
Related
- Predicting Drug-Resistant Tuberculosis Treatment Outcomes: A Leakage-Controlled Evaluation of Topological Data Analysis Augmentation
- Localization-Aware Multiscale Deep Learning for Lumbar Foraminal Stenosis in Multi-Scanner Sagittal MRI: A Leakage-Controlled Evaluation
- Leakage-aware machine learning for data-driven performance prediction of metal–organic framework systems
- Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework
- A Reproducible and Explainable Deep Learning Framework for Dermoscopic Image Analysis in Skin Cancer
BibTeX
@article{ubaida2026reproducible,
title = {{A Reproducible Benchmark for Leakage-Resistant Machine Learning on Multi-Site Brain Connectivity Graphs}},
author = {Abu Ubaida and Khurram Zeeshan Haider and Salabat Khan and Celal Alagoz and Farhan Aadil},
journal = {Diagnostics (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13703965},
note = {CC BY},
}
RIS
TY - JOUR
TI - A Reproducible Benchmark for Leakage-Resistant Machine Learning on Multi-Site Brain Connectivity Graphs
AU - Abu Ubaida
AU - Khurram Zeeshan Haider
AU - Salabat Khan
AU - Celal Alagoz
AU - Farhan Aadil
PY - 2026
DA - 2026/10/01
JO - Diagnostics (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13703965
SN - 2075-4418
ER -