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20182025
most citedHierarchical fuzzy neural networks with privacy preservation for heterogeneous big data

37 citations · 89 across the 15 of their papers we have counts for

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Showing 2024Show all

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…

cs.RO2024

Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data

Yiqun Duan, Zhuoli Zhuang, Jinzhao Zhou +3

This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current…

cs.LG2024

Masked EEG Modeling for Driving Intention Prediction

Jinzhao Zhou, Justin Sia, Yiqun Duan +3

Driving under drowsy conditions significantly escalates the risk of vehicular accidents. Although recent efforts have focused on using electroencephalography to detect drowsiness,…

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…