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Update JULAIN Journal Club authored by susanne wenzel's avatar susanne wenzel
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JULAIN-Journal-Club.md
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...@@ -26,7 +26,8 @@ Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj ...@@ -26,7 +26,8 @@ Virtual Meeting using [BigBlueButton](https://webconf.fz-juelich.de/b/wen-mym-pj
* Special guest: [Ribana Roscher](http://rs.ipb.uni-bonn.de/) who will talk about concepts foe Explainable AI and the paper * Special guest: [Ribana Roscher](http://rs.ipb.uni-bonn.de/) who will talk about concepts foe Explainable AI and the paper
'Short CV' __Short CV__
Ribana Roscher is Junior Professor of Remote Sensing at University of Bonn since 2015 and held an interims Professorship for Semantic Technologies at University of Osnabrück in 2019 and 2020. Before that she was PostDoc Fellow at FU Berlin and University of Bonn. She was visiting researcher at UCLA and the Fields Institute for Research in Mathematical Science. Ribana studied Geodesy at University of Bonn and perused a PhD in Photogrammetry and Remote on ’Sequential learning using incremental import vector machines for semantic segmentation’. Her research focuses on Ocean remote sensing and plant phenotyping, Explainable and interpretable machine learning, (Deep) representation/feature learning, and Theory-guided/informed machine learning. Ribana Roscher is Junior Professor of Remote Sensing at University of Bonn since 2015 and held an interims Professorship for Semantic Technologies at University of Osnabrück in 2019 and 2020. Before that she was PostDoc Fellow at FU Berlin and University of Bonn. She was visiting researcher at UCLA and the Fields Institute for Research in Mathematical Science. Ribana studied Geodesy at University of Bonn and perused a PhD in Photogrammetry and Remote on ’Sequential learning using incremental import vector machines for semantic segmentation’. Her research focuses on Ocean remote sensing and plant phenotyping, Explainable and interpretable machine learning, (Deep) representation/feature learning, and Theory-guided/informed machine learning.
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