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CEMSE
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semantic analysis

Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains

Sarah Alghamdi, Ph.D. Student, Computer Science
Apr 10, 13:00 - 14:30

B9 R3120

biomedicine Ontologies data analysis semantic analysis computation techniques

Abstract In biomedical research, ontologies are widely used to represent knowledge as well as annotate datasets. Many of the existing ontologies cover a single type of phenomena, such as a process, cell type, gene, pathological entity or anatomical structure. Consequently, it is required to use multiple ontologies to fully characterize the observations in the datasets. Although this allows precise annotation of different aspects of a given dataset, it limits our ability to use the ontologies in data analysis, as the ontologies are usually disconnected and their combination cannot be exploited

Computer vision: Teaching computers how to see the world

1 min read · Wed, May 27 2015

News

semantic analysis artificial intelligence UAV

Ghanem works in the Visual Computing Center (VCC) and is interested in computer vision, image processing, and machine learning.

Bernard Ghanem

Professor, Electrical and Computer Engineering

semantic analysis UAV artificial intelligence machine learning

Professor Ghanem's research focuses on computer vision and machine learning, emphasizing large-scale video understanding, vision for automated navigation and theoretical foundations.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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