... | ... | @@ -17,27 +17,27 @@ Here we provide a plain list of links to groups related to ML and DL. For more i |
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* **[Big Data Analytics](http://www.fz-juelich.de/inm/inm-1/DE/Forschung/Big_Data_Analytics/Big_Data_Analytics_node.html)** at INM-1<br>
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Contact: [Timo Dickscheid](http://www.fz-juelich.de/SharedDocs/Personen/INM/INM-1/DE/Dickscheid_Timo.html?nn=1869754), t.dickscheid@fz-juelich.de<br>
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image data, classification, semantic segmentation, CNN, SVM, Capsule Networks, siamese networks, histology, HPC
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Image data, Classification, Semantic Segmentation, CNN, SVM, U-Net, Capsule Networks, Siamese Networks, Histology, HPC
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* **[Applied Machine learning](http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html)** at INM-7<br>
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Contact: [Kaustubh R. Patil](http://www.fz-juelich.de/SharedDocs/Personen/INM/INM-7/EN/patil_k.html?nn=654218), k.patil@fz-juelich.de<br>
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Data: neuroimaging (fMRI, DTI, T1), human behavior, clinical symptoms and disgnosis<br>
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Methods: classification and regression (RF, SVM, DNN) , clustering (k-means, GMM, spectral), structured prediction (CRF)
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Data: Neuroimaging (fMRI, DTI, T1), human behavior, clinical symptoms and disgnosis<br>
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Methods: Classification and Regression (RF, SVM, DNN) , Clustering (k-means, GMM, spectral), structured prediction (CRF)
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* **[Biomarker Development](http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html)** at INM-7<br>
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Contact: [Juergen Dukart](http://www.fz-juelich.de/SharedDocs/Personen/INM/INM-7/EN/Dukart_j.html?nn=654218), j.dukart@fz-juelich.de<br>
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Data: neuroimaging (fMRI, DTI, T1, PET, SPECT), sensor-based data, clinical symptoms and diagnosis<br>
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Data: Neuroimaging (fMRI, DTI, T1, PET, SPECT), sensor-based data, clinical symptoms and diagnosis<br>
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Methods: SVM, Decision trees, Linear and Logistic regression, Bayesian classifiers
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* **[Cognitive Neuroinformatics](http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html)** at INM-7<br>
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Contact: [Sarah Genon](http://www.fz-juelich.de/SharedDocs/Personen/INM/INM-7/EN/genon_s.html?nn=654218), s.genon@fz-juelich.de<br>
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Data: neuroimaging (MRI, PET), psychometric data<br>
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Methods: classification and regression (SVM, RVM), clustering (k-means) and factorization (NNMF, PCA)
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Data: Neuroimaging (MRI, PET), psychometric data<br>
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Methods: Classification and Regression (SVM, RVM), Clustering (k-means) and Factorization (NNMF, PCA)
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* **[Brain Variability ](http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html)** at INM-7<br>
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Contact: [Susanne Weis](http://www.fz-juelich.de/SharedDocs/Personen/INM/INM-7/DE/weis_s.html), s.weis@fz-juelich.de<br>
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Data: neuroimaging (fMRI, T1), human behaviour, sex differences<br>
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Methods: classification and regression (RF, SVM)
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Data: Neuroimaging (fMRI, T1), human behaviour, sex differences<br>
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Methods: Classification and Regression (RF, SVM)
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* **[Helmholtz Analytics Framework](http://www.helmholtz-analytics.de/)** (at JSC, INM-1, INM-6, IEK-8, ICS-6, IBG-3)<br>
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Contact: [Björn Hagemeier](http://www.fz-juelich.de/SharedDocs/Personen/IAS/JSC/EN/staff/hagemeier_b.html?nn=2191370), b.hagemeier@fz-juelich.de<br>
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... | ... | @@ -67,12 +67,12 @@ Methods: classification/regression: SVM, SVR, SSVM, clustering/dimension reducti |
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* **[Simulation Laboratory Quantum Materials](http://www.fz-juelich.de/ias/jsc/EN/AboutUs/Organisation/ComputationalScience/Simlabs/slqm/_node.html)** at JSC<br>
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Contact: [Edoardo Di Napoli](http://www.fz-juelich.de/SharedDocs/Personen/IAS/JSC/EN/staff/di_napoli_e.html?nn=2068862), e.di.napoli@fz-juelich.de<br>
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Applying and developing Machine Learning methods for the prediction of thermodynamic properties (Enthalpies of formation, amorphization temperatures, etc.) of compound materials such as solid solutions of Lanthanides orthophosphates.<br>
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Methods: regression using KRR (Gussian, Laplacian, polynomial) and knowledge extraction through feature sparsification using LASSO + $`\ell_0`$.
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Methods: Regression using KRR (Gaussian, Laplacian, polynomial) and knowledge extraction through feature sparsification using LASSO + $`\ell_0`$.
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* **[Modeling & Simulation Group](https://fz-juelich.de/ibg/ibg-1/modsim)** (at IBG-1)<br>
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Contact: [Christian Sachs](https://fz-juelich.de/SharedDocs/Personen/IBG/IBG-1/EN/Research_groups/microscale/sachs.html?nn=982498), [c.sachs@fz-juelich.de](mailto:c.sachs@fz-juelich.de); [Katharina Nöh](https://fz-juelich.de/SharedDocs/Personen/IBG/IBG-1/EN/Research_groups/modsim/noeh.html?nn=982498), [k.noeh@fz-juelich.de](mailto:k.noeh@fz-juelich.de)<br>
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Data: Image data (microscope time-lapse stacks of microfluidic experiments; bacteria, algae, yeast)<br>
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Methods: convolutional neural network based pixel-precise multi-instance segmentation (via U-Nets)<br>
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Methods: convolutional neural network (CNN) based pixel-precise multi-instance segmentation (via U-Nets)<br>
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# Work in progress
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