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Update ML&DL@FZJ
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Mar 25, 2021
by
Susanne Wenzel
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@@ -50,7 +50,8 @@ Methods: Classification and Regression (RF, SVM)
*
**[Molecular Neuroscience and Neuroimaging](https://www.fz-juelich.de/inm/inm-11/DE/Home/home_node.html)**
at INM-11
<br>
Contact: Christian Gerloff, c.gerloff@fz-juelich.de
<br>
Data: Neuroimaging (MRI, fNIRS), biobehavioral data (ECG, ANS) for developmental, social neuroscience, and motor control
<br>
Methods: Graph representation learning (structural and kernel-based embeddings, GNNs), Factorization (NMF), Regression and Classification (SVM, Ridge&Lasso, GP), Bayesian Inference (Bayesian hierarchical models)
Methods: Graph representation learning (structural and kernel-based embeddings, GNNs), Factorization (NMF), Regression and Classification (SVM, Ridge&Lasso, GP), Bayesian Inference (Bayesian hierarchical models)
<br>
(last update: 25.3.2021)
*
**[Simulation Laboratory Neuroscience](http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/research/research_node.html)**
at JSC
<br>
Contact:
[
Kai Krajsek
](
https://www.fz-juelich.de/SharedDocs/Personen/IAS/JSC/EN/staff/krajsek_k.html
)
, k.krajsek@fz-juelich.de
<br>
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@@ -104,4 +105,4 @@ tbd
[
[Home
](
Home
)
]
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last change: 25.3.2021 sw
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