4 citations · 10 across the 18 of their papers we have counts for
4 papers · 1 filter
iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration
Xiaowei Jiang, Daniel Leong, Beining Cao +5
Interpretable representation learning remains a key challenge in modern neural computation, particularly when models are expected not only to perform but also to explain their reas…
Can ChatGPT Diagnose Alzheimer's Disease?
Quoc-Toan Nguyen, Linh Le, Xuan-The Tran +2
Can ChatGPT diagnose Alzheimer's Disease (AD)? AD is a devastating neurodegenerative condition that affects approximately 1 in 9 individuals aged 65 and older, profoundly impairing…
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification
Yingtao Ren, Yu-Cheng Chang, Thomas Do +2
Fuzzy Neural Networks (FNNs) are effective machine learning models for classification tasks, commonly based on the Takagi-Sugeno-Kang (TSK) fuzzy system. However, when faced with h…
EEG-SSM: Leveraging State-Space Model for Dementia Detection
Xuan-The Tran, Linh Le, Quoc Toan Nguyen +2
State-space models (SSMs) have garnered attention for effectively processing long data sequences, reducing the need to segment time series into shorter intervals for model training…