Research Output per year
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Robots
Engineering & Materials Science
Evolutionary algorithms
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Controllers
Engineering & Materials Science
Robot
Mathematics
Modular robots
Engineering & Materials Science
Electronic medical equipment
Engineering & Materials Science
Robotics
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Karine da Silva Miras de Araujo
- Faculty of Science, Artificial intelligence - External PhD Candidate
- Computational Intelligence - External PhD Candidate
Person: Academic
Floris den Hengst
- Faculty of Science, Artificial intelligence - External PhD Candidate
- Computational Intelligence - External PhD Candidate
Person: Academic
A.E. Eiben
- Faculty of Science, Artificial intelligence - Full Professor
- Network Institute - Full Professor
- Computational Intelligence - Full Professor
Person: Academic
Research Output 2002 2018
Basics of sensory data
Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 15-24 10 p. (Cognitive Systems Monographs; vol. 35)Research output: Chapter in Book/Report/Conference proceeding › Chapter
Learning systems
Sensors
Clustering
Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 73-100 28 p. (Cognitive Systems Monographs; vol. 35)Research output: Chapter in Book/Report/Conference proceeding › Chapter
Discussion
Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 217-221 5 p. (Cognitive Systems Monographs; vol. 35)Research output: Chapter in Book/Report/Conference proceeding › Chapter
Learning systems