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),...
Ensemble
Leveraging advanced ensemble learning techniques for methane uptake prediction in metal organic frameworks
Pardakhti, M., Moharreri, E., Wanik, D., Suib, S. L. & Srivastava, R. Machine learning using combined structural and chemical descriptors...
Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches
Data collection and descriptionThe statistics about EV charging stations in Colorado come from automated systems that track different aspects of...
Emotion recognition with multiple physiological parameters based on ensemble learning
Discussion of random initialization resultsThis study aimed to investigate the impact of random seed initialization on model performance. The same...
Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images
Dataset and preprocessingThis study utilizes a publicly accessible brain MRI dataset from Kaggle ( consisting of 2,870 images, including both...
A stacking ensemble machine learning model for predicting postoperative axial pain intensity in patients with degenerative cervical myelopathy
This study identified three key findings: (1) Classifier performance was significantly improved by applying an ensemble learning approach that integrated...
