Joaquin Vanschoren
Joaquin Vanschoren publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Machine Learning and Data Classification, Anomaly Detection Techniques and Applications and Data Stream Mining Techniques.
- World rank
- #149,392 of 1,633,909 ranked researchers
- Rank in Netherlands
- #3,376 of 23,481
- Works
- 49
- Citations
- 277
- Citations per work
- 5.7
What does Joaquin Vanschoren research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence64% of their works
- 2Signal Processing6% of their works
- 3Computer Vision and Pattern Recognition6% of their works
- 4Information Systems4% of their works
- 5Education2% of their works
- 6Radiology, Nuclear Medicine and Imaging2% of their works
Research topics
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
- Statistical and Computational Modeling
- Data Mining Algorithms and Applications
Which keywords describe Joaquin Vanschoren's research?
The keywords of their largest research topics: Meta-Learning, Classification, Hyperparameter Optimization, Noisy Labels, Deep Learning, Neural Networks, Anomaly Detection and Concept Drift.
- SMOTE
- Imbalanced Data
- Frequent Patterns
- Transfer Learning
- Domain Adaptation
- Unsupervised
- Data Streams
- Concept Drift
- Neural Networks
- Noisy Labels
- Classification
- Meta-Learning
- Hyperparameter Optimization
- Deep Learning
- Anomaly Detection
- Data Mining
- Machine Learning
- Backpropagation Learning
- Self-Organizing Maps
- Association Rules
- GMDH-type Neural Networks
- Inductive Modeling
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 22 words, with their numbers
- Meta-Learning132 topics
- Classification122 topics
- Hyperparameter Optimization101 topic
- Noisy Labels101 topic
- Deep Learning72 topics
- Neural Networks72 topics
- Anomaly Detection41 topic
- Concept Drift41 topic
- Data Mining42 topics
- Data Streams41 topic
- Machine Learning42 topics
- Unsupervised41 topic
- Backpropagation Learning31 topic
- Domain Adaptation31 topic
- Self-Organizing Maps31 topic
- Transfer Learning31 topic
- Association Rules21 topic
- Frequent Patterns21 topic
- GMDH-type Neural Networks21 topic
- Imbalanced Data21 topic
- Inductive Modeling21 topic
- SMOTE21 topic
Where does Joaquin Vanschoren work?
Joaquin Vanschoren's main affiliation in the publication record is Eindhoven University of Technology, Netherlands.
How many publications and citations does Joaquin Vanschoren have?
Science Explorer counts 49 works and 277 citations for Joaquin Vanschoren, ranking #149,392 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.