:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Zheng, McEvoy, Isabella, Valderrama, Camilo E.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.08094
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
by: Zhao, Yimin, et al.
Published: (2024)

Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning
by: Xie, Ying, et al.
Published: (2026)

Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2025)

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
by: Jin, Ming, et al.
Published: (2024)

GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition
by: Wang, Ziyi, et al.
Published: (2026)

DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
by: Hu, Fo, et al.
Published: (2025)

Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG
by: Qing, Jiaxin, et al.
Published: (2026)

Directed Link Prediction using GNN with Local and Global Feature Fusion
by: Zhang, Yuyang, et al.
Published: (2025)

Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion
by: Li, Jiagen, et al.
Published: (2025)

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

Consumer-friendly EEG-based Emotion Recognition System: A Multi-scale Convolutional Neural Network Approach
by: Ly, Tri Duc, et al.
Published: (2025)

Spatiotemporal EEG-Based Emotion Recognition Using SAM Ratings from Serious Games with Hybrid Deep Learning
by: Rehman, Abdul, et al.
Published: (2025)

Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
by: Sartipi, Shadi, et al.
Published: (2024)

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
by: An, Sion, et al.
Published: (2024)

SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy
by: Liu, Yici, et al.
Published: (2025)

Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
by: Lin, Xuetao, et al.
Published: (2025)

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
by: Li, Xiang, et al.
Published: (2024)

CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition
by: Arabzadeh, Saeed, et al.
Published: (2025)

TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation
by: Ono, Junya, et al.
Published: (2025)

Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification
by: Zhang, Xu, et al.
Published: (2025)

Multimodal Functional Maximum Correlation for Emotion Recognition
by: Zheng, Deyang, et al.
Published: (2025)

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
by: Sartipi, Shadi, et al.
Published: (2024)

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

FatigueFormer: Static-Temporal Feature Fusion for Robust sEMG-Based Muscle Fatigue Recognition
by: Zhang, Tong, et al.
Published: (2026)

Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition
by: Zeng, Xiaocong, et al.
Published: (2025)

PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding
by: Jing, Changhong, et al.
Published: (2025)

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

Hardness-Aware Dynamic Curriculum Learning for Robust Multimodal Emotion Recognition with Missing Modalities
by: Liu, Rui, et al.
Published: (2025)

A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction
by: Zhang, Lingyu, et al.
Published: (2025)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)

DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
by: Li, Jin, et al.
Published: (2025)

HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
by: Zheng, Chuhang, et al.
Published: (2025)

Enhancing Automatic Modulation Recognition through Robust Global Feature Extraction
by: Qu, Yunpeng, et al.
Published: (2024)

Capture Global Feature Statistics for One-Shot Federated Learning
by: Guan, Zenghao, et al.
Published: (2025)

E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
by: Ren, Zhaochun, et al.
Published: (2024)

Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion
by: Chen, Xiaolu, et al.
Published: (2025)

Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
by: Kukhilava, Natia, et al.
Published: (2025)

EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
by: Chen, Yuning, et al.
Published: (2025)

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation (Extended Version)
by: Liu, Yuansan, et al.
Published: (2023)

LibEMER: A novel benchmark and algorithms library for EEG-based Multimodal Emotion Recognition
by: Liu, Zejun, et al.
Published: (2025)