Fraunhofer Institute for Manufacturing Engineering and Automation

output

20172026

most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Marco F. Huber4 profiles11 · h 27
Fady Aziz6 · h 7
Sherif Abdulatif6 · h 14
U. Schneider6 · h 7
D. A. Kreplin5 · h 4
M. Roth5 · h 4
Benjamin Frész4 · h 3
B. Kleiner4 · h 8
Bin Yang3 · h 34
Karim Armanious3 · h 17
Marco Roth2 profiles3 · h 5
M. Zöller3 · h 0

collaborating institutions

University of StuttgartDE21 papers
Fraunhofer Institute for Industrial EngineeringDE2 papers
Fraunhofer Institute of Optronics, System Technologies and Image ExploitationDE2 papers
Heilbronn UniversityDE2 papers
Software (Germany)DE2 papers
Stuttgart Media UniversityDE2 papers
Carnegie Mellon UniversityUS1 paper
Delft University of TechnologyNL1 paper
Deutscher WetterdienstDE1 paper
Esslingen University of Applied SciencesDE1 paper
Forschungszentrum JülichDE1 paper
Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper

Showing 2017 · cs.CVShow all

2 papers · 2 filters

cs.CV2017★ 21 cited

Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human Limbs

Sherif Abdulatif, Fady Aziz, Bernhard Kleiner +1

Unique micro-Doppler signature ( $μ$ -D) of a human body motion can be analyzed as the superposition of different body parts $μ$ -D signatures. Extraction of hum…

cs.CV2017★ 39 cited

Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches

Sherif Abdulatif, Qian Wei, Fady Aziz +2

Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler ( $μ$ -D) and m…