Emil Eirola
Emil Eirola publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science, on topics such as Machine Learning and ELM, Neural Networks and Applications and Domain Adaptation and Few-Shot Learning.
- World rank
- #1,601,852 of 7,710,434 ranked researchers
- Rank in Finland
- #9,742 of 37,370
- Works
- 44
- Citations
- 713
- Citations per work
- 16.2
What does Emil Eirola research?
Emil Eirola's work is mostly in Computer Science (64%), Social Sciences (5%), Engineering (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences3068.3%
- Computer Science2864.2%
- Engineering24.1%
- Everything else1124.4%
- Social Sciences24.9%
- Social Sciences24.9%
- Life Sciences12.4%
- 1Artificial Intelligence53% of their works
- 2Computer Vision and Pattern Recognition8% of their works
- 3Sociology and Political Science5% of their works
- 4Electrical and Electronic Engineering4% of their works
- 5Signal Processing3% of their works
- 6Cancer Research2% of their works
Research topics
Which keywords describe Emil Eirola's research?
The keywords of their largest research topics: Neural Networks, Classification, Deep Learning, Extreme Learning Machine, Feedforward Networks, Backpropagation Learning, Self-Organizing Maps and Meta-Learning.
- Noisy Labels
- Hyperparameter Optimization
- Mixture Models
- Gaussian Processes
- Variational Inference
- Transfer Learning
- Domain Adaptation
- Meta-Learning
- Backpropagation Learning
- Extreme Learning Machine
- Classification
- Neural Networks
- Deep Learning
- Feedforward Networks
- Self-Organizing Maps
- Dimensionality Reduction
- Face Recognition
- Bayesian Inference
- Clustering
- Machine Learning
- Gene Expression
- MicroRNA
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 22 words, with their numbers
- Neural Networks342 topics
- Classification212 topics
- Deep Learning202 topics
- Extreme Learning Machine181 topic
- Feedforward Networks181 topic
- Backpropagation Learning161 topic
- Self-Organizing Maps161 topic
- Meta-Learning122 topics
- Dimensionality Reduction91 topic
- Domain Adaptation91 topic
- Face Recognition91 topic
- Transfer Learning91 topic
- Bayesian Inference82 topics
- Variational Inference82 topics
- Clustering41 topic
- Gaussian Processes41 topic
- Machine Learning41 topic
- Mixture Models41 topic
- Gene Expression31 topic
- Hyperparameter Optimization31 topic
- MicroRNA31 topic
- Noisy Labels31 topic
Where does Emil Eirola work?
Emil Eirola's main affiliation in the publication record is Arcada University of Applied Sciences, Finland.
How many publications and citations does Emil Eirola have?
OpenAlex counts 44 works and 713 citations for Emil Eirola, an h-index of 13, ranking #1,601,852 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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