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Found 8 papers, 1 papers with code
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Overall, this survey paper aims to provide a comprehensive overview of the current state-of-the-art in FL for CVD detection and to highlight its potential for improving the accuracy and privacy of CVD detection models.
Communication Efficiency in Federated Learning: Achievements and Challenges
Over the years, this has become an emerging technology especially with various data protection and privacy policies being imposed FL allows performing machine learning tasks whilst adhering to these challenges.
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
In this paper, we present a comprehensive survey of the latest research works (2015 and after) conducted in various categories of sleep monitoring including sleep stage classification, sleep posture recognition, sleep disorders detection, and vital signs monitoring.
Graph-based Ontology Summarization: A Survey
Ontologies have been widely used in numerous and varied applications, e. g., to support data modeling, information integration, and knowledge management.
Information Retrieval
A Comprehensive Survey of Ontology Summarization: Measures and Methods
The Semantic Web is becoming a large scale framework that enables data to be published, shared, and reused in the form of ontologies.
ES-LDA: Entity Summarization using Knowledge-based Topic Modeling
With the advent of the Internet, the amount of Semantic Web documents that describe real-world entities and their inter-links as a set of statements have grown considerably.
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
The amount of text that is generated every day is increasing dramatically.
Text Summarization Techniques: A Brief Survey
In recent years, there has been a explosion in the amount of text data from a variety of sources.
