Matthias Seeger
Matthias Seeger publishes mostly in Artificial Intelligence, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, on topics such as Gaussian Processes and Bayesian Inference, Machine Learning and Data Classification and Bayesian Methods and Mixture Models.
- World rank
- #57,061 of 1,633,909 ranked researchers
- Rank in Germany
- #3,942 of 86,443
- Works
- 34
- Citations
- 521
- Citations per work
- 15.3
What does Matthias Seeger research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence44% of their works
- 2Control and Systems Engineering9% of their works
- 3Radiology, Nuclear Medicine and Imaging9% of their works
- 4Statistics and Probability7% of their works
- 5Computational Mechanics4% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Machine Learning and Data Classification
- Bayesian Methods and Mixture Models
- Advanced Multi-Objective Optimization Algorithms
- Sparse and Compressive Sensing Techniques
- Fault Detection and Control Systems
- Control Systems and Identification
- Medical Imaging Techniques and Applications
Which keywords describe Matthias Seeger's research?
The keywords of their largest research topics: Bayesian Inference, Variational Inference, Machine Learning, Gaussian Processes, Sparse Regression, Hyperparameter Optimization, Noisy Labels and Clustering.
- Sparse Representation
- Parameter Estimation
- Multiobjective Optimization
- Fault Detection
- Compressed Sensing
- Clustering
- Hyperparameter Optimization
- Gaussian Processes
- Variational Inference
- Bayesian Inference
- Machine Learning
- Sparse Regression
- Noisy Labels
- Mixture Models
- Evolutionary Algorithms
- Imaging
- PET/CT
- Process Monitoring
- System Identification
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
- Bayesian Inference102 topics
- Variational Inference102 topics
- Machine Learning92 topics
- Gaussian Processes71 topic
- Sparse Regression71 topic
- Hyperparameter Optimization41 topic
- Noisy Labels41 topic
- Clustering31 topic
- Mixture Models31 topic
- Compressed Sensing21 topic
- Evolutionary Algorithms21 topic
- Fault Detection21 topic
- Imaging21 topic
- Multiobjective Optimization21 topic
- PET/CT21 topic
- Parameter Estimation21 topic
- Process Monitoring21 topic
- Sparse Representation21 topic
- System Identification21 topic
Where does Matthias Seeger work?
Matthias Seeger's main affiliation in the publication record is Max Planck Society, Germany.
How many publications and citations does Matthias Seeger have?
Science Explorer counts 34 works and 521 citations for Matthias Seeger, ranking #57,061 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.