Tomas Iesmantas
Area of expertiseBayesian inference, MCMC, Machine learning, Deep learning Area of interest1. Application of deep learning development of new methods (and more general machine learning) to
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Area of expertiseBayesian inference, MCMC, Machine learning, Deep learning Area of interest1. Application of deep learning development of new methods (and more general machine learning) to
Area of expertiseAdvanced Safety Assessment Methodologies, Bayesian Analysis, Probabilistic Dynamics, Structural analysis, Joint Evaluation ofConnected Health Technologies, Machine Learning, Artificial Intelligence, Human Reliability, Smart Wearable
COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
Harmony – COST Action CA18208 – Novel tools for test evaluation and disease prevalence estimation. Epidemiological studies assessing disease prevalence are critically important to both the identification and control of pathogens in humans and animals (including zoonosis and food borne outbreaks).
Grant Holder: University of Thessaly – GH Science
Start of Action: 25 October, 2019
End of Action: 24 October, 2023
Entry into force: 26 June, 2019
CSO approval date: 04 June, 2019
Action email: info@harmony-net.eu
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