Frank Hutter
Frank Hutter publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Machine Learning and Data Classification, Machine Learning and Algorithms and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #1,078 of 1,633,909 ranked researchers
- Rank in Germany
- #219 of 86,443
- Works
- 105
- Citations
- 3.8k
- Citations per work
- 36.3
What does Frank Hutter research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence55% of their works
- 2Computer Vision and Pattern Recognition8% of their works
- 3Computational Theory and Mathematics7% of their works
- 4Computer Networks and Communications4% of their works
- 5Management Science and Operations Research4% of their works
- 6Information Systems4% of their works
Research topics
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Advanced Neural Network Applications
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
Which keywords describe Frank Hutter's research?
The keywords of their largest research topics: Deep Learning, Classification, Hyperparameter Optimization, Noisy Labels, Image Classification, Evolutionary Algorithms, Machine Learning and Multiobjective Optimization.
- Robotics
- Self-Organizing Maps
- Feature Selection
- Backpropagation Learning
- Image Recognition
- Neural Networks
- Genetic Algorithm
- Active Learning
- Multiobjective Optimization
- Evolutionary Algorithms
- Noisy Labels
- Classification
- Deep Learning
- Hyperparameter Optimization
- Image Classification
- Machine Learning
- Particle Swarm Optimization
- Semi-Supervised Learning
- Surrogate Modeling
- Convolutional Neural Networks
- Ant Colony Optimization
- Differential Evolution
- Genetic Programming
- Reinforcement Learning
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 24 words, with their numbers
- Deep Learning294 topics
- Classification282 topics
- Hyperparameter Optimization231 topic
- Noisy Labels231 topic
- Image Classification212 topics
- Evolutionary Algorithms203 topics
- Machine Learning192 topics
- Multiobjective Optimization152 topics
- Particle Swarm Optimization152 topics
- Active Learning141 topic
- Semi-Supervised Learning141 topic
- Genetic Algorithm101 topic
- Surrogate Modeling101 topic
- Neural Networks82 topics
- Convolutional Neural Networks71 topic
- Image Recognition71 topic
- Ant Colony Optimization51 topic
- Backpropagation Learning51 topic
- Differential Evolution51 topic
- Feature Selection51 topic
- Genetic Programming51 topic
- Self-Organizing Maps51 topic
- Reinforcement Learning31 topic
- Robotics31 topic
Where does Frank Hutter work?
Frank Hutter's main affiliation in the publication record is University of Freiburg, Germany.
How many publications and citations does Frank Hutter have?
Science Explorer counts 105 works and 3,808 citations for Frank Hutter, ranking #1,078 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.
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