:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mommen, Wout, Keuninckx, Lars, Detterer, Paul, Colpaert, Achiel, Wambacq, Piet
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.11433
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Method for Optimizing Connections in Differentiable Logic Gate Networks
by: Mommen, Wout, et al.
Published: (2025)

Resource-Efficient Gesture Recognition using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation
by: Safa, Ali, et al.
Published: (2024)

DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
by: Li, Jiahui, et al.
Published: (2026)

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
by: Ashhad, Mohd, et al.
Published: (2025)

ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
by: Baig, Zuraiz, et al.
Published: (2025)

Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
by: Núñez, José Fernando, et al.
Published: (2024)

ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks
by: Odugoudar, Aryan, et al.
Published: (2023)

Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
by: Rahmani, Sana, et al.
Published: (2025)

Trajectory-Aware Air-to-Ground Channel Characterization for Low-Altitude UAVs Using MaMIMO Measurements
by: Saboor, Abdul, et al.
Published: (2025)

CSI Measurements and Initial Results for Massive MIMO to UAV Communication
by: Cui, Zhuangzhuang, et al.
Published: (2023)

Evaluation of 3D Terrestrial and Aerial Spectrum Sharing with Massive MIMO Systems
by: Colpaert, Achiel, et al.
Published: (2025)

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
by: Pokharel, Atit, et al.
Published: (2024)

A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility
by: Silva, Guilherme, et al.
Published: (2025)

ECG Arrhythmia Detection Using Disease-specific Attention-based Deep Learning Model
by: Jin, Linpeng
Published: (2024)

Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
by: Apostol, Andrei, et al.
Published: (2025)

UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection
by: Asgharnezhad, Hamzeh, et al.
Published: (2026)

Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion
by: Su, Baozhuo, et al.
Published: (2025)

In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023)

Dualband OFDM Delay Estimation for Multi-Target Localization
by: Kou, Jialun, et al.
Published: (2026)

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images
by: Zhang, Shanwei, et al.
Published: (2025)

HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
by: Gupta, Shubham, et al.
Published: (2026)

Optimized Hybrid Feature Engineering for Resource-Efficient Arrhythmia Detection in ECG Signals: An Optimization Framework
by: Singh, Moirangthem Tiken, et al.
Published: (2026)

Bias Correction in Machine Learning-based Classification of Rare Events
by: Gubbels, Luuk, et al.
Published: (2024)

ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
by: Chen, Huangxun, et al.
Published: (2019)

Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction
by: Challagundla, Bhavith Chandra
Published: (2024)

A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance
by: Yamaç, Mehmet, et al.
Published: (2022)

CASH: Context-Aware Smart Handover for Reliable UAV Connectivity on Aerial Corridors
by: Saboor, Abdul, et al.
Published: (2025)

Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)

A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers
by: Busia, Paola, et al.
Published: (2024)

Towards Automated Diagnosis of Inherited Arrhythmias: Combined Arrhythmia Classification Using Lead-Aware Spatial Attention Networks
by: Sigfstead, Sophie, et al.
Published: (2026)

rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG
by: Srivastava, Shreya, et al.
Published: (2024)

ECGMamba: Towards Efficient ECG Classification with BiSSM
by: Qiang, Yupeng, et al.
Published: (2024)

Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
by: Toosi, Maedeh H., et al.
Published: (2026)

Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters
by: Ibrahim, Mustafa Fuad Rifet, et al.
Published: (2025)

EfficientECG: Cross-Attention with Feature Fusion for Efficient Electrocardiogram Classification
by: Deng, Hanhui, et al.
Published: (2025)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)

Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks
by: Oliveira, Rafael F., et al.
Published: (2024)

Comparative Analysis of Data Augmentation for Clinical ECG Classification with STAR
by: Nemati, Nader
Published: (2025)

ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)

A Lightweight CNN-Attention-BiLSTM Architecture for Multi-Class Arrhythmia Classification on Standard and Wearable ECGs
by: Thota, Vamsikrishna, et al.
Published: (2025)