Nyhetsarkiv for Center for Data Science

What I currently think about machine learning in health, is that it will lead to better health in the world I will try to touch several issues, using examples from the literature and mine (this will be mainly breast cancer models for personalized therapy), among which bias, intelligence (the dynamic one and the hard-coded one), explain black box models (or stop using them?) and slow-AI.

The speaker will focus on the following topics: inferring topological invariants of latent structures from data, enriching dimension reduction layouts, and modeling human perception to design more trustworthy Machine Learning techniques.

In this talk, Alain Starke presents his research on energy recommender systems.

In this talk, the speaker will introduce an approach to dealing with simulator imperfection from a point of view of functional approximation that can be implemented through a certain machine learning method, such as kernel-based learning.

The talk will give an overview of computational methods for protein structure prediction.

The objective of the workshop is to build bridges between parameterized complexity theory and practical applications.

Dette seminaret arrangeres for å fremme samarbeidet mellom NORA (Norwegian Artificial Intelligence Research Consortium) og UiB sine forskere som jobber på kunstig intelligens og maskinlæring.

On Friday the 5th of April at 10am Jürgen Bernard will give a talk at the Visual Computing Forum. The talk will take place at Lille Aud. @ Høyteknologisenteret (Thormøhlens gate 55). The title of the talk is: Enhancing Human-Centered Machine Learning with Visual Analytics.