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20242026
most citedA Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy

4 citations · 10 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.LG2024

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…

cs.HC2024★ 1 cited

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System

Xiaowei Jiang, Beining Cao, Liang Ou +3

The rapid evolution of Brain-Computer Interfaces (BCIs) has significantly influenced the domain of human-computer interaction, with Steady-State Visual Evoked Potentials (SSVEP) em…

cs.AI2024★ 4 cited

A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy

Xiaowei Jiang, Liang Ou, Yanan Chen +4

The paper introduces a Fuzzy-based Attention (Fuzzy Attention Layer) mechanism, a novel computational approach to enhance the interpretability and efficacy of neural models in psyc…

eess.SP2024

BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding

Jinzhao Zhou, Yiqun Duan, Fred Chang +3

The remarkable success of large language models (LLMs) across various multi-modality applications is well established. However, integrating large language models with humans, or br…

cs.CL2024

Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings

Jinzhao Zhou, Yiqun Duan, Ziyi Zhao +4

Decoding linguistic information from non-invasive brain signals using EEG has gained increasing research attention due to its vast applicational potential. Recently, a number of wo…

cs.LG2024★ 2 cited

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…