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A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings
Using a dataset of voice recordings of 42 people with early-stage Parkinson's disease over a time span of 6 months, we applied multiple machine learning techniques to find a correlation between the voice recording and the patient's motor UPDRS score.
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.
