An ensemble model based on transfer learning for the early detection of Alzheimer’s disease
Karantzoulis, S. & Galvin, J. E. Distinguishing Alzheimer’s disease from other major forms of dementia. Expert Rev. Neurother. 11 (11),...
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QKDTI A quantum kernel based machine learning model for drug target interaction prediction
This study proposed QKDTI - Quantum Kernel Drug-Target Interaction, a novel quantum-enhanced regression framework for DTI prediction that enhance the...
Quantum Machine Learning Model Predicts Protein-Ligand Binding Free Energy With High Accuracy
Predicting how strongly molecules bind is crucial for drug discovery, yet accurately calculating binding free energies presents a significant computational...
Mathematical model helps European regions set suitable targets to close gender gaps in education
AI-generated image using DALL·E (OpenAI, GPT-4o model), created on June 3, 2025. Permitted use under OpenAI's Terms of Use. The...
Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology
Extreme gradient boosting modelOur study focused on tuning the hyper-parameters of an extreme gradient boosting model for predicting a binary...
Federated learning with integrated attention multiscale model for brain tumor segmentation
This section offers a comprehensive summary of the proposed research and also outlines the procedures for data preparation, preprocessing, and...
