Amaury Lendasse
Amaury Lendasse publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Neural Networks and Applications, Machine Learning and ELM and Face and Expression Recognition.
- World rank
- #635,897 of 7,710,434 ranked researchers
- Rank in Finland
- #3,832 of 37,370
- Works
- 354
- Citations
- 8.2k
- Citations per work
- 23.0
What does Amaury Lendasse research?
Amaury Lendasse's work is mostly in Computer Science (62%), Engineering (8%), Decision Sciences (3%).
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 Sciences24669.5%
- Computer Science21962.0%
- Engineering277.5%
- Everything else9827.6%
- Social Sciences102.9%
- Decision Sciences102.9%
- 1Artificial Intelligence44% of their works
- 2Computer Vision and Pattern Recognition13% of their works
- 3Signal Processing5% of their works
- 4Control and Systems Engineering4% of their works
- 5Electrical and Electronic Engineering4% of their works
- 6Management Science and Operations Research3% of their works
Research topics
Which keywords describe Amaury Lendasse's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Backpropagation Learning, Self-Organizing Maps, Extreme Learning Machine, Feedforward Networks, Dimensionality Reduction and Support Vector Machines.
- Near-Infrared Spectroscopy
- Multifractal Analysis
- Time Series Forecasting
- Time Series
- Transfer Learning
- Feature Selection
- Support Vector Machines
- Feedforward Networks
- Self-Organizing Maps
- Deep Learning
- Neural Networks
- Backpropagation Learning
- Extreme Learning Machine
- Dimensionality Reduction
- Face Recognition
- Domain Adaptation
- Clustering
- Stock Market Prediction
- Econophysics
- Multivariate Calibration
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 20 words, with their numbers
- Neural Networks3033 topics
- Deep Learning2043 topics
- Backpropagation Learning1481 topic
- Self-Organizing Maps1481 topic
- Extreme Learning Machine1291 topic
- Feedforward Networks1291 topic
- Dimensionality Reduction782 topics
- Support Vector Machines742 topics
- Face Recognition481 topic
- Feature Selection481 topic
- Domain Adaptation441 topic
- Transfer Learning441 topic
- Clustering301 topic
- Time Series301 topic
- Stock Market Prediction261 topic
- Time Series Forecasting261 topic
- Econophysics221 topic
- Multifractal Analysis221 topic
- Multivariate Calibration221 topic
- Near-Infrared Spectroscopy221 topic
Where does Amaury Lendasse work?
Amaury Lendasse's main affiliation in the publication record is Arcada University of Applied Sciences, Finland.
How many publications and citations does Amaury Lendasse have?
OpenAlex counts 354 works and 8,150 citations for Amaury Lendasse, an h-index of 44, ranking #635,897 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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