Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
N Rahim, S El-Sappagh, H Rizk, OA El-serafy… - Applied Soft …, 2024 - Elsevier
The fusion of multimodal longitudinal data is difficult but crucial for enhancing the accuracy
of deep learning models for disease identification and helps provide tailored and patient …
of deep learning models for disease identification and helps provide tailored and patient …
A multimodal learning machine framework for Alzheimer's disease diagnosis based on neuropsychological and neuroimaging data
M Zhang, Q Cui, Y Lü, W Yu, W Li - Computers & Industrial Engineering, 2024 - Elsevier
Alzheimer's disease (AD) is the most prevalent form of dementia, with no current cure. Early
screening and intervention are vital. In multimodal AD data, besides neuroimaging …
screening and intervention are vital. In multimodal AD data, besides neuroimaging …
A feature-aware multimodal framework with auto-fusion for Alzheimer's disease diagnosis
M Zhang, Q Cui, Y Lü, W Li - Computers in Biology and Medicine, 2024 - Elsevier
Abstract Alzheimer's disease (AD), one of the most common dementias, has about 4.6
million new cases yearly worldwide. Due to the significant amount of suspected AD patients …
million new cases yearly worldwide. Due to the significant amount of suspected AD patients …
[HTML][HTML] Alzheimer's disease diagnosis in the metaverse
Abstract Background and Objective The importance of early diagnosis of Alzheimer's
Disease (AD) is by no means negligible because no cure has been recognized for it rather …
Disease (AD) is by no means negligible because no cure has been recognized for it rather …
Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems
This systematic review examines the evolution and current landscape of eXplainable
Artificial Intelligence (XAI) in Clinical Decision Support Systems (CDSS), highlighting …
Artificial Intelligence (XAI) in Clinical Decision Support Systems (CDSS), highlighting …
Infodeslib: Python Library for Dynamic Ensemble Learning using Late Fusion of Multimodal Data
There has been a notable increase in research focusing on dynamic selection (DS)
techniques within the field of ensemble learning. This leads to the development of various …
techniques within the field of ensemble learning. This leads to the development of various …
Identification of Trolling Memes in Kannada and Tulu-Under-resourced Dravidian Languages
A Hegde, SH Lakshmaiah - 2024 - researchsquare.com
On social media platforms, information, ideas, or other forms of expressions are created
and/or shared among people in an interactive manner. During exchange of information …
and/or shared among people in an interactive manner. During exchange of information …
Model dubokog učenja za predviđanje Alzheimerove bolesti
L Šegota - 2024 - repozitorij.fsb.unizg.hr
Sažetak Alzheimerova bolest (AD) najrašireniji je tip demencije živčanog sustava koji
uzrokuje slabljenje mnogih moždanih funkcija (npr. gubitak pamćenja). Budući da je rana …
uzrokuje slabljenje mnogih moždanih funkcija (npr. gubitak pamćenja). Budući da je rana …