DEFENCE OF THE DOCTORAL DISSERTATION BY MARTIN MARZIDOVŠEK

Explainable Machine Learning Techniques for Applications in Life Sciences

Defence of the Doctoral Dissertation by Martin Marzidovšek

Published: 16. oct. 2024

IPS invites you to the Defence of the Doctoral Dissertation by Martin Marzidovšek titled: Explainable Machine Learning Techniques for Applications in Life Sciences. The defence will take place on Thursday, 24 October 2024, at 10:00 a.m. at Room 38/39, 1st floor, Teslova 30, Ljubljana. You can also join the defence via the following link: https://us02web.zoom.us/j/83575626350?pwd=U2flsaWiQW9QXqKCFrH669pC7dzqPI.1, Meeting ID: 835 7562 6350, Passcode: 854344.

Short summary:

The dissertation explores the use of machine learning (ML) to process complex and heterogeneous data in life sciences, with a focus on ecology. It aims to advance ML applications in ecosystem monitoring, ecological modelling, and predictive analytics, emphasising the necessity for explainable artificial intelligence to balance predictive performance with model transparency.

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