Jilles Vreeken’s talk on “Learning Actionable Insights from Scientific Data and Models”. Part of the CAIML Symposium 2025 at TU Wien (@tuwien.at).

caiml.org/symposium202...

The CAIML Symposium 2025 is underway at TU Wien (@tuwien.at).

Program and details: caiml.org/symposium202...

#AI #ML #ArtificialIntelligence #MachineLearning

“Digital Twin of the Heart”, by Siemens Healthineers and Adarsh Raghunath. Ongoing work as part of the TARGET project (@target-horizoneu.bsky.social).

#TARGETProject #HealthTech #DigitalHealth

Emanuel Blindu of UMFST and Evi van Kempen of Radboud UMC (@radboudumc.bsky.social) presenting their dataset of clinical data, made available from #ML / #AI model development through the TARGET Data Platform at TU Wien (@tuwien.at).

#TARGETProject #HealthTech #DigitalHealth

Status update on the TARGET Data Platform, developed by our team at TU Wien (@tuwien.at).

Prof. Katja Hose (@katjahose.bsky.social) presenting the details and numbers we have so far, as part of the TARGET project (@target-horizoneu.bsky.social).

#TARGETProject #HealthTech #DigitalHealth

Start of the second annual meeting of the TARGET project (@target-horizoneu.bsky.social) in Lund, Sweden.

Prof. Sandra Ortega-Martorell (@ortegamartorell.bsky.social) from LJMU gives an overview of where we are at this point in the project.

Sebastian Hellmann from InfAI with his “DBpedia & DBpedia Enterprise” presentation at the GOBLIN COST action plenary meeting in Prague.

#DBpedia #KnowledgeGraphs #RDF #GOBLINcost

Katja Hose from TU Wien with her “Introduction to Knowledge Graphs” presentation at the GOBLIN COST action plenary meeting in Prague.

/cc @katjahose.bsky.social

#KnowledgeGraphs #RDF #GOBLINcost #TUWien

My poster for tomorrow’s GOBLIN COST Action meeting in Prague.

I’ll have a chance to share our progress on developing our Synthetic EHR Knowledge Graphs generator, which outputs Turtle + FHIR entities in a size of your choice.

#GOBLINcost #KnowledgeGraphs #RDF #FHIR #EHR #SyntheticData

Vangel Kodjoman, 120 years since birth.

Earlier this year we introduced #RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF knowledge graphs, based on #SHACL constraints.

In June, we published a preprint detailing its design and implementation.

#RDF #KnowledgeGraphs #SyntheticData

arxiv.org/abs/2407.17941