Kaj-Mikael Björk
Kaj-Mikael Björk publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Machine Learning and ELM, Neural Networks and Applications and Face and Expression Recognition.
- World rank
- #321,370 of 1,633,909 ranked researchers
- Rank in Finland
- #1,990 of 8,199
- Works
- 28
- Citations
- 97
- Citations per work
- 3.5
What does Kaj-Mikael Björk research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence65% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Electrical and Electronic Engineering10% of their works
- 4Information Systems5% of their works
Research topics
Which keywords describe Kaj-Mikael Björk's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Extreme Learning Machine, Feedforward Networks, Feature Selection, Backpropagation Learning, Dimensionality Reduction and Face Recognition.
- Stochastic Gradient Descent
- Random Projections
- Image Recognition
- Adversarial Examples
- Domain Adaptation
- Face Recognition
- Backpropagation Learning
- Feedforward Networks
- Deep Learning
- Neural Networks
- Extreme Learning Machine
- Feature Selection
- Dimensionality Reduction
- Self-Organizing Maps
- Transfer Learning
- Convolutional Neural Networks
- Multi-label Learning
- Robustness
- Text Classification
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
- Neural Networks104 topics
- Deep Learning64 topics
- Extreme Learning Machine51 topic
- Feedforward Networks51 topic
- Feature Selection42 topics
- Backpropagation Learning31 topic
- Dimensionality Reduction31 topic
- Face Recognition31 topic
- Self-Organizing Maps31 topic
- Domain Adaptation21 topic
- Transfer Learning21 topic
- Adversarial Examples11 topic
- Convolutional Neural Networks11 topic
- Image Recognition11 topic
- Multi-label Learning11 topic
- Random Projections11 topic
- Robustness11 topic
- Stochastic Gradient Descent11 topic
- Text Classification11 topic
Where does Kaj-Mikael Björk work?
Kaj-Mikael Björk's main affiliation in the publication record is Arcada University of Applied Sciences, Finland.
How many publications and citations does Kaj-Mikael Björk have?
Science Explorer counts 28 works and 97 citations for Kaj-Mikael Björk, ranking #321,370 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.