:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Du, Juan, Xie, Yukun, Zhang, Chen
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2404.03329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals
by: Marocchi, Milan, et al.
Published: (2025)

Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
by: Cui, Jixuan, et al.
Published: (2024)

Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals
by: Ranjan, Shivani, et al.
Published: (2024)

Topological Feature Search Method for Multichannel EEG: Application in ADHD classification
by: Cai, Tianming, et al.
Published: (2024)

Joint Signal Detection and Automatic Modulation Classification via Deep Learning
by: Xing, Huijun, et al.
Published: (2024)

ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
by: Chuang, Chun-Hsiang, et al.
Published: (2024)

Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
by: Gangapuram, Harshini, et al.
Published: (2024)

A Benchmark Study of Deep Learning Methods for Multi-Label Pediatric Electrocardiogram-Based Cardiovascular Disease Classification
by: Chen, Yiqiao
Published: (2025)

Deep Neural Network Architectures for Electrocardiogram Classification: A Comprehensive Evaluation
by: Song, Yun, et al.
Published: (2026)

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach
by: Bai, Yu, et al.
Published: (2024)

Learning the Structure of Connection Graphs
by: Di Nino, Leonardo, et al.
Published: (2025)

Radar Pulse Deinterleaving with Transformer Based Deep Metric Learning
by: Gunn, Edward, et al.
Published: (2025)

Graph Semi-Supervised Learning for Point Classification on Data Manifolds
by: Netto, Caio F. Deberaldini, et al.
Published: (2025)

Data Normalization Strategies for EEG Deep Learning
by: Truong, Dung, et al.
Published: (2025)

Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning
by: Chen, Wangqian, et al.
Published: (2024)

A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation
by: Chen, Kuan-Lin, et al.
Published: (2025)

Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning
by: Chen, Yan-Chen, et al.
Published: (2026)

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
by: Seraphim, Mathieu, et al.
Published: (2024)

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data
by: Zhang, Yukun, et al.
Published: (2024)

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)

Learning Multi-Frequency Partial Correlation Graphs
by: D'Acunto, Gabriele, et al.
Published: (2023)

Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
by: Rahman, Sowad
Published: (2025)

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
by: Sharma, Shivam, et al.
Published: (2023)

Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
by: Li, Xiaoyan, et al.
Published: (2025)

Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data
by: Paucar-Escalante, Jesus, et al.
Published: (2025)

The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
by: Xie, Jianxin, et al.
Published: (2024)

Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
by: Chen, Jiyi, et al.
Published: (2024)

DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
by: Inan, Muhammad Sakib Khan, et al.
Published: (2024)

Three-Way Emotion Classification of EEG-based Signals using Machine Learning
by: Purwar, Ashna, et al.
Published: (2026)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

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

Contrastive Learning-based User Identification with Limited Data on Smart Textiles
by: Zhang, Yunkang, et al.
Published: (2024)

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
by: Bogdoll, Daniel, et al.
Published: (2021)

Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
by: Peng, Ruimin, et al.
Published: (2024)

Data-Augmented Deep Learning for Downhole Depth Sensing and Validation
by: Xiao, Si-Yu, et al.
Published: (2025)

Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
by: Kavianpour, Mohammadreza, et al.
Published: (2024)

Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
by: D'Souza, Niharika Shimona, et al.
Published: (2020)

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
by: Sartipi, Shadi, et al.
Published: (2024)

Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)