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Please add short paragraphs about each project, naming scientific question/target, application area, used methods, and main outcome. If given provide a link to the according webpage.
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Provide the *name* of the responsible person and a *date*.
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# Highlights
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<!--# Highlights
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Most recent (almost) published results from FZJ related to ML&DL
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* "Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric", accepted IJCNN 2019. This work by Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff and Kaustubh R. Patil from INM-7 looks at the unsolved problem of how to estimate the rank of NNMF decomposition for a given dataset. In this work various existing and a novel method were compared on simulated and real world data.
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# Groups at FZJ, dealing with ML and DL
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* High-Throughput Image-Base Cohort Phenotyping (INM-1)
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* Multi-Scale Multi-Area Interaction in Cortical Networks (INM-6)
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# Work in progress
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Ongoing work at FZJ related to ML&DL
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tbd
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---
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[[Home](Home)]
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