Marius Kloft
Marius Kloft publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Anomaly Detection Techniques and Applications, Machine Learning and Algorithms and Face and Expression Recognition.
- World rank
- #50,999 of 1,633,909 ranked researchers
- Rank in Germany
- #3,553 of 86,443
- Works
- 49
- Citations
- 435
- Citations per work
- 8.9
What does Marius Kloft research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence45% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Molecular Biology4% of their works
- 4Information Systems4% of their works
- 5Signal Processing4% of their works
- 6Mechanical Engineering4% of their works
Research topics
Which keywords describe Marius Kloft's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Anomaly Detection, Feature Selection, Machine Learning, Active Learning, Dimensionality Reduction and Face Recognition.
- Genetic Variation
- Self-Organizing Maps
- Multi-label Learning
- Feedforward Networks
- Backpropagation Learning
- Semi-Supervised Learning
- Face Recognition
- Active Learning
- Feature Selection
- Neural Networks
- Deep Learning
- Anomaly Detection
- Machine Learning
- Dimensionality Reduction
- Outlier Detection
- Unsupervised
- Extreme Learning Machine
- Intrusion Detection
- Network Security
- Text Classification
- Genome-Wide Association
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 21 words, with their numbers
- Deep Learning104 topics
- Neural Networks73 topics
- Anomaly Detection52 topics
- Feature Selection52 topics
- Machine Learning52 topics
- Active Learning31 topic
- Dimensionality Reduction31 topic
- Face Recognition31 topic
- Outlier Detection31 topic
- Semi-Supervised Learning31 topic
- Unsupervised31 topic
- Backpropagation Learning21 topic
- Extreme Learning Machine21 topic
- Feedforward Networks21 topic
- Intrusion Detection21 topic
- Multi-label Learning21 topic
- Network Security21 topic
- Self-Organizing Maps21 topic
- Text Classification21 topic
- Genetic Variation11 topic
- Genome-Wide Association11 topic
Where does Marius Kloft work?
Marius Kloft's main affiliation in the publication record is University of Kaiserslautern, Germany.
How many publications and citations does Marius Kloft have?
Science Explorer counts 49 works and 435 citations for Marius Kloft, ranking #50,999 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.