Track 1 - Data Analytics

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How well it works with graph NN?

What is the difference between machine learning and deep learning?

Benjamin Demetz, deep learning is a kind of machine learning

I see you have used the graph-based approach, semantic technology (particularly ontology) which has the capability of maintaining relationship has also been used in similar kinds of research. My question is, was there any reason not to go for this ontological approach or you were not aware of it?

How accurate are the analysis made by the software?

Querying in graph optimally becomes challenging when the graph grows bigger, do you have any such issues? If yes how did you handle it?

Do you know the project http://rewire.di.unimi.it/ from the university of Milan?

Sorry, I was not able to hear the floor. If anybody has questions on my presentation MS-rehab: a web-accessible system for AI-supported cognitive training" please write them here.

Marina Latini, no, I didn't know it, thanks!

I'm curious, does GAML implement any learning models? Can the simulation improve "by itself"?

I will try to answer this question here, sorry for the technical problems :) So, I think you talk about Reinforcement Learning. This is actually not implemented, but as it is Open Source and the API is described very well, you can also couple DRL methods for sure.

How long did it take to train the model and how accurate is it?

Great project!

Can we use it to download Südtirol Weather data (historic and forecast)?