Explainable AI (XAI) for Arrhythmia detection from electrocardiograms
Fuente:
arXiv
Saved in:
| Main Authors: | Beck, Joschka, John, Arlene |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
by: Cetina, Alan G. Paredes, et al.
Published: (2025)
by: Cetina, Alan G. Paredes, et al.
Published: (2025)
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)
by: Paraschou, Eva, et al.
Published: (2025)
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
by: Oksuz, Abdullah Caglar, et al.
Published: (2023)
by: Oksuz, Abdullah Caglar, et al.
Published: (2023)
Behave-XAI: Deep Explainable Learning of Behavioral Representational Data
by: Kamal, Rossi
Published: (2022)
by: Kamal, Rossi
Published: (2022)
Explainable AI for microseismic event detection
by: Abdullin, Ayrat, et al.
Published: (2025)
by: Abdullin, Ayrat, et al.
Published: (2025)
XAI-Units: Benchmarking Explainability Methods with Unit Tests
by: Lee, Jun Rui, et al.
Published: (2025)
by: Lee, Jun Rui, et al.
Published: (2025)
PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection
by: Raquib, Mirza, et al.
Published: (2025)
by: Raquib, Mirza, et al.
Published: (2025)
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
by: Bommer, Philine, et al.
Published: (2023)
by: Bommer, Philine, et al.
Published: (2023)
From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
by: Dar, Ugur, et al.
Published: (2024)
by: Dar, Ugur, et al.
Published: (2024)
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0
by: Turgut, Ozlem, et al.
Published: (2024)
by: Turgut, Ozlem, et al.
Published: (2024)
Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
by: Karhinoja, Katri, et al.
Published: (2024)
by: Karhinoja, Katri, et al.
Published: (2024)
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)
by: Xiong, Haoyi, et al.
Published: (2024)
Understanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear Approximations
by: Braun, Joschka
Published: (2026)
by: Braun, Joschka
Published: (2026)
Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution
by: Donmez, Turker Berk
Published: (2024)
by: Donmez, Turker Berk
Published: (2024)
Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok's Subsoil
by: Youwai, Sompote, et al.
Published: (2024)
by: Youwai, Sompote, et al.
Published: (2024)
Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
by: Ott, Gabriel, et al.
Published: (2023)
by: Ott, Gabriel, et al.
Published: (2023)
Explainable artificial intelligence (XAI) for scaling: An application for deducing hydrologic connectivity at watershed scale
by: Ye, Sheng, et al.
Published: (2025)
by: Ye, Sheng, et al.
Published: (2025)
XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT
by: Aslam, Ambreen, et al.
Published: (2026)
by: Aslam, Ambreen, et al.
Published: (2026)
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
by: Kok, Ibrahim, et al.
Published: (2022)
by: Kok, Ibrahim, et al.
Published: (2022)
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era
by: Wu, Xuansheng, et al.
Published: (2024)
by: Wu, Xuansheng, et al.
Published: (2024)
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
by: Bai, Samita, et al.
Published: (2024)
by: Bai, Samita, et al.
Published: (2024)
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
by: Chiang, Sophie, et al.
Published: (2026)
by: Chiang, Sophie, et al.
Published: (2026)
AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum
by: Balasubramanian, Prasasthy, et al.
Published: (2025)
by: Balasubramanian, Prasasthy, et al.
Published: (2025)
Explainable artificial intelligence (XAI): from inherent explainability to large language models
by: Mumuni, Fuseini, et al.
Published: (2025)
by: Mumuni, Fuseini, et al.
Published: (2025)
Axe the X in XAI: A Plea for Understandable AI
by: Páez, Andrés
Published: (2024)
by: Páez, Andrés
Published: (2024)
ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms
by: Lence, Alex, et al.
Published: (2024)
by: Lence, Alex, et al.
Published: (2024)
DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
by: Li, Jiahui, et al.
Published: (2026)
by: Li, Jiahui, et al.
Published: (2026)
Fill in the Blanks: Accelerating Q-Learning with a Handful of Demonstrations in Sparse Reward Settings
by: Azad, Seyed Mahdi Basiri, et al.
Published: (2025)
by: Azad, Seyed Mahdi Basiri, et al.
Published: (2025)
UDUC: An Uncertainty-driven Approach for Learning-based Robust Control
by: Zhang, Yuan, et al.
Published: (2024)
by: Zhang, Yuan, et al.
Published: (2024)
Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
by: Rahmani, Sana, et al.
Published: (2025)
by: Rahmani, Sana, et al.
Published: (2025)
Inter-patient ECG Arrhythmia Classification with LGNs and LUTNs
by: Mommen, Wout, et al.
Published: (2026)
by: Mommen, Wout, et al.
Published: (2026)
B-cos GNNs: Faithful Explanations through Dynamic Linearity
by: Groß, Joschka, et al.
Published: (2026)
by: Groß, Joschka, et al.
Published: (2026)
Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance
by: Seth, Pratinav, et al.
Published: (2025)
by: Seth, Pratinav, et al.
Published: (2025)
Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs
by: Chatzimiltis, Sotiris, et al.
Published: (2025)
by: Chatzimiltis, Sotiris, et al.
Published: (2025)
Explainable Artificial Intelligent (XAI) for Predicting Asphalt Concrete Stiffness and Rutting Resistance: Integrating Bailey's Aggregate Gradation Method
by: Kongkitkul, Warat, et al.
Published: (2024)
by: Kongkitkul, Warat, et al.
Published: (2024)
XAI for Early Crop Classification
by: Chan, Ayshah, et al.
Published: (2023)
by: Chan, Ayshah, et al.
Published: (2023)
E-ABIN: an Explainable module for Anomaly detection in BIological Networks
by: Lomoio, Ugo, et al.
Published: (2025)
by: Lomoio, Ugo, et al.
Published: (2025)
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
by: Baig, Zuraiz, et al.
Published: (2025)
by: Baig, Zuraiz, et al.
Published: (2025)
Similar Items
-
Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025) -
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024) -
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
by: Cetina, Alan G. Paredes, et al.
Published: (2025) -
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025) -
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
by: Oksuz, Abdullah Caglar, et al.
Published: (2023)