David Stutz
David Stutz publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Adversarial Robustness in Machine Learning, Topic Modeling and Machine Learning and Data Classification.
- World rank
- #231,342 of 1,633,909 ranked researchers
- Rank in Germany
- #14,009 of 86,443
- Works
- 17
- Citations
- 240
- Citations per work
- 14.1
What does David Stutz research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence29% of their works
- 2Computer Vision and Pattern Recognition24% of their works
- 3Electrical and Electronic Engineering6% of their works
- 4Management Science and Operations Research6% of their works
- 5Hardware and Architecture6% of their works
- 6Computational Mechanics6% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Machine Learning and Data Classification
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Optical measurement and interference techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
Which keywords describe David Stutz's research?
The keywords of their largest research topics: Machine Learning, Neural Networks, Adversarial Examples, Deep Learning, Local Binary Patterns, Camera Calibration, Content-Based Image Retrieval and Depth Estimation.
- Structured Light
- Shape Matching
- Noisy Labels
- Hyperparameter Optimization
- Face Recognition
- Depth Estimation
- Camera Calibration
- Deep Learning
- Neural Networks
- Machine Learning
- Adversarial Examples
- Local Binary Patterns
- Content-Based Image Retrieval
- Dimensionality Reduction
- Hardware Trojans
- Machine Translation
- Physical Unclonable Functions
- Stereo Vision
- Word Representation
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Machine Learning42 topics
- Neural Networks42 topics
- Adversarial Examples31 topic
- Deep Learning31 topic
- Local Binary Patterns22 topics
- Camera Calibration11 topic
- Content-Based Image Retrieval11 topic
- Depth Estimation11 topic
- Dimensionality Reduction11 topic
- Face Recognition11 topic
- Hardware Trojans11 topic
- Hyperparameter Optimization11 topic
- Machine Translation11 topic
- Noisy Labels11 topic
- Physical Unclonable Functions11 topic
- Shape Matching11 topic
- Stereo Vision11 topic
- Structured Light11 topic
- Word Representation11 topic
Where does David Stutz work?
David Stutz's main affiliation in the publication record is Max Planck Institute for Informatics, Germany.
How many publications and citations does David Stutz have?
Science Explorer counts 17 works and 240 citations for David Stutz, ranking #231,342 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.