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.
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.
Provide the *name* of the responsible person and a *date*.
Provide the *name* of the responsible person and a *date*.
# Highlights
<!--# Highlights
Most recent (almost) published results from FZJ related to ML&DL
Most recent (almost) published results from FZJ related to ML&DL
* "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.
* "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.
