:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Chengkai, Dong, Xingping, Zong, Xiaofen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.21064
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Calibration of Deep Learning Classification Models in fNIRS
by: Cao, Zhihao, et al.
Published: (2024)

Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
by: Adeli, Behtom, et al.
Published: (2025)

Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
by: Santaniello, Julia, et al.
Published: (2025)

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
by: Khan, Mehshan Ahmed, et al.
Published: (2024)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)

Progress Towards Decoding Visual Imagery via fNIRS
by: Adamic, Michel, et al.
Published: (2024)

Fusion of Multiscale Features Via Centralized Sparse-attention Network for EEG Decoding
by: Cai, Xiangrui, et al.
Published: (2025)

Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world
by: Middell, E., et al.
Published: (2026)

Facebook Report on Privacy of fNIRS data
by: Hossen, Md Imran, et al.
Published: (2024)

Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)

Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification
by: Yan, Huachao, et al.
Published: (2024)

On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)

Incomplete Depression Feature Selection with Missing EEG Channels
by: Gong, Zhijian, et al.
Published: (2025)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)

Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
by: Chen, Weidao, et al.
Published: (2025)

Wearable Music2Emotion : Assessing Emotions Induced by AI-Generated Music through Portable EEG-fNIRS Fusion
by: Zhao, Sha, et al.
Published: (2025)

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN
by: Chen, Ziyi, et al.
Published: (2023)

Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)

Block-As-Domain Adaptation for Workload Prediction from fNIRS Data
by: Wang, Jiyang, et al.
Published: (2024)

A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network
by: Ye, Miao, et al.
Published: (2025)

A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024)

A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention
by: Li, Shengjie, et al.
Published: (2024)

Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
by: Cao, Zhihao
Published: (2024)

MSRFormer: Road Network Representation Learning using Multi-scale Feature Fusion of Heterogeneous Spatial Interactions
by: Yang, Jian, et al.
Published: (2025)

Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
by: Lai, Zhili, et al.
Published: (2024)

Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025)

A Dual-Attention Graph Network for fMRI Data Classification
by: Arbab, Amirali, et al.
Published: (2025)

Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals
by: Sharmin, Shayla, et al.
Published: (2025)

Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
by: Yang, Zhendong, et al.
Published: (2025)

TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)

GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
by: Zhang, Fan, et al.
Published: (2024)

Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)

LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
by: Noravesh, Farshad, et al.
Published: (2025)

Advancing fNIRS Neuroimaging through Synthetic Data Generation and Machine Learning Applications
by: Waks, Eitan
Published: (2024)

Explicit Feature Interaction-aware Graph Neural Networks
by: Kim, Minkyu, et al.
Published: (2022)

TF-MCL: Time-frequency Fusion and Multi-domain Cross-Loss for Self-supervised Depression Detection
by: Zhao, Li-Xuan, et al.
Published: (2025)

Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
by: Ladner, Tobias, et al.
Published: (2024)

Training-free Graph Neural Networks and the Power of Labels as Features
by: Sato, Ryoma
Published: (2024)

Graph Neural Networks with Feature and Structure Aware Random Walk
by: Zhuo, Wei, et al.
Published: (2021)