Designing ECG monitoring healthcare system with federated transfer learning and explainable AI
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI
Authors
Keywords
Electrocardiography (ECG), Deep learning, Explainable AI (XAI), Privacy, Security, Federated learning
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 236, Issue -, Pages 107763
Publisher
Elsevier BV
Online
2021-11-28
DOI
10.1016/j.knosys.2021.107763
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Shelf Auditing Based on Image Classification Using Semi-Supervised Deep Learning to Increase On-Shelf Availability in Grocery Stores
- (2021) Ramiz Yilmazer et al. SENSORS
- When Machine Learning Meets Privacy
- (2021) Bo Liu et al. ACM COMPUTING SURVEYS
- Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems
- (2021) Zaoli Yang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Accurate classification of ECG arrhythmia using MOWPT enhanced fast compression deep learning networks
- (2020) Jing-Shan Huang et al. Journal of Ambient Intelligence and Humanized Computing
- FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
- (2020) Yiqiang Chen et al. IEEE INTELLIGENT SYSTEMS
- Computer-aided diagnosis of skin cancer based on soft computing techniques
- (2020) Zhiying Xu et al. Open Medicine
- HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks
- (2020) Sajad Mousavi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks
- (2020) Siti Nurmaini et al. Future Generation Computer Systems-The International Journal of eScience
- Machine learning in cybersecurity: A review
- (2019) Anand Handa et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- A Comprehensive Survey of Deep Learning for Image Captioning
- (2019) MD. Zakir Hossain et al. ACM COMPUTING SURVEYS
- Cross-position activity recognition with stratified transfer learning
- (2019) Yiqiang Chen et al. Pervasive and Mobile Computing
- Machine learning in agricultural and applied economics
- (2019) Hugo Storm et al. EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS
- An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles
- (2019) Jun Liu et al. Journal of Energy Storage
- Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
- (2019) Felix Sattler et al. IEEE Transactions on Neural Networks and Learning Systems
- A survey on ECG analysis
- (2018) Selcan Kaplan Berkaya et al. Biomedical Signal Processing and Control
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Detecting atrial fibrillation by deep convolutional neural networks
- (2018) Yong Xia et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A novel application of deep learning for single-lead ECG classification
- (2018) Sherin M. Mathews et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
- (2018) Shu Lih Oh et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep Learning for IoT Big Data and Streaming Analytics: A Survey
- (2018) Mehdi Mohammadi et al. IEEE Communications Surveys and Tutorials
- Visual Analytics for Explainable Deep Learning
- (2018) Jaegul Choo et al. IEEE COMPUTER GRAPHICS AND APPLICATIONS
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- A hybrid neural network – world cup optimization algorithm for melanoma detection
- (2018) Navid Razmjooy et al. Open Medicine
- A guide to deep learning in healthcare
- (2018) Andre Esteva et al. NATURE MEDICINE
- Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
- (2017) U. Rajendra Acharya et al. INFORMATION SCIENCES
- Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges
- (2017) IEEE Access
- Wearable Sensors for Human Activity Monitoring: A Review
- (2015) Subhas Chandra Mukhopadhyay IEEE SENSORS JOURNAL
- Machine learning applications in cancer prognosis and prediction
- (2015) Konstantina Kourou et al. Computational and Structural Biotechnology Journal
- A Survey on Human Activity Recognition using Wearable Sensors
- (2012) Oscar D. Lara et al. IEEE Communications Surveys and Tutorials
- Boosting for transfer learning from multiple data sources
- (2011) Pipei Huang et al. PATTERN RECOGNITION LETTERS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started