About Data Extraction
A major challenge of current (big) data systems lies in the provision of high-quality information suited for downstream analysis purposes, given that the data at hand are often irrelevant, redundant, noisy, inconsistent, incomplete or unstructured.
Imec research groups at UGent and KU Leuven are devising innovative cleansing, completion and feature extraction approaches to extract reliable information from raw data.
How can we help you?
Some examples of what we have done
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Postdoc Integrated Deep Learning
You will help make AI dramatically more efficient, and drive the technology to put it into any device
Entrepreneurial Principal Member of Technical Staff AI & IOT
Developing a scientific roadmap “AI for Intuitive Spaces”
Machine Learning and AI Expert
Apply your Machine Learning and AI expertise to enable energy-efficient AI solutions in imec’s technology.
AI-based prediction of agitation in dementia patients
Leveraging advanced wearable and remote health parameter sensor technologies with contextual sensing and the power of machine-learning to improve the care for and quality of life of patients with dementia.
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