Copertina

DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lomoio, Ugo, Veltri, Pierangelo, Guzzi, Pietro Hiram, Lio', Pietro
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Signal Processing Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Kolmogorov Arnold Network Autoencoder in Medicine
di: Lomoio, Ugo, et al.
Pubblicazione: (2025)

E-ABIN: an Explainable module for Anomaly detection in BIological Networks
di: Lomoio, Ugo, et al.
Pubblicazione: (2025)

ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration
di: Defilippo, Annamaria, et al.
Pubblicazione: (2025)

A Usable GAN-Based Tool for Synthetic ECG Generation in Cardiac Amyloidosis Research
di: Speziale, Francesco, et al.
Pubblicazione: (2026)

Leveraging graph neural networks for supporting Automatic Triage of Patients
di: Defilippo, Annamaria, et al.
Pubblicazione: (2024)

UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching
di: Choi, Woongjib, et al.
Pubblicazione: (2025)

Deep Learning-Based CKM Construction with Image Super-Resolution
di: Wang, Shiyu, et al.
Pubblicazione: (2024)

Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases
di: Carbonari, Valentina, et al.
Pubblicazione: (2025)

A Comprehensive Benchmark for Electrocardiogram Time-Series
di: Tang, Zhijiang, et al.
Pubblicazione: (2025)

Masked Transformer for Electrocardiogram Classification
di: Zhou, Ya, et al.
Pubblicazione: (2023)

Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms
di: Getnet, Yalemzerf, et al.
Pubblicazione: (2026)

Human Activity Recognition Based on Electrocardiogram Data Only
di: Montazeri, Sina, et al.
Pubblicazione: (2025)

TolerantECG: A Foundation Model for Imperfect Electrocardiogram
di: Nguyen, Huynh Dang, et al.
Pubblicazione: (2025)

Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
di: Ghosh, Sucheta, et al.
Pubblicazione: (2026)

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
di: Li, Zhongzhi, et al.
Pubblicazione: (2024)

Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
di: Na, Yeongyeon, et al.
Pubblicazione: (2024)

Leveraging Convolutional Sparse Autoencoders for Robust Movement Classification from Low-Density sEMG
di: Hristov, Blagoj, et al.
Pubblicazione: (2026)

Evaluating Feature Attribution Methods for Electrocardiogram
di: Suh, Jangwon, et al.
Pubblicazione: (2022)

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
di: Lee, Simon A., et al.
Pubblicazione: (2025)

Interference-Aware Super-Constellation Design for NOMA
di: Vaezi, Mojtaba, et al.
Pubblicazione: (2025)

From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
di: KhakzadGharamaleki, Sepideh, et al.
Pubblicazione: (2025)

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains
di: Li, Jun, et al.
Pubblicazione: (2024)

Noise-Robust Radio Frequency Fingerprint Identification Using Denoise Diffusion Model
di: Yin, Guolin, et al.
Pubblicazione: (2025)

MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes
di: Pan, Feiyang, et al.
Pubblicazione: (2025)

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
di: Huang, Keke, et al.
Pubblicazione: (2023)

Dimension Scaling SR-Net for Super-Resolution Radar Range Profiles
di: Wang, Ziwen, et al.
Pubblicazione: (2025)

Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising
di: Tang, Zhen, et al.
Pubblicazione: (2026)

VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis
di: Li, Qi, et al.
Pubblicazione: (2024)

TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion
di: Duan, Huanqiang, et al.
Pubblicazione: (2025)

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions
di: Lee, Yongbin, et al.
Pubblicazione: (2026)

Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
di: Kite, Thomas, et al.
Pubblicazione: (2024)

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
di: Occhipinti, Edoardo, et al.
Pubblicazione: (2024)

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

MRI Super-Resolution with Deep Learning: A Comprehensive Survey
di: Khateri, Mohammad, et al.
Pubblicazione: (2025)

Energy-Aware Dynamic Neural Inference
di: Bullo, Marcello, et al.
Pubblicazione: (2024)

InWaveSR: Topography-Aware Super-Resolution Network for Internal Solitary Waves
di: Wang, Xinjie, et al.
Pubblicazione: (2025)

Mechanistic Interpretability with Sparse Autoencoder Neural Operators
di: Tolooshams, Bahareh, et al.
Pubblicazione: (2025)

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
di: Liu, Ran, et al.
Pubblicazione: (2023)

Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
di: Rao, Qiyu, et al.
Pubblicazione: (2026)

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users
di: Lucic, Ana, et al.
Pubblicazione: (2022)