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Fingerprint Dive into the research topics where Mannes Poel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 32 Similar Profiles
Brain computer interface Engineering & Materials Science
Learning systems Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Mobile robots Engineering & Materials Science
Neural networks Engineering & Materials Science
Bioelectric potentials Engineering & Materials Science
Insurance Engineering & Materials Science
Low Back Pain Medicine & Life Sciences

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Research Output 1991 2019

Machine Learning for Cooperative Driving in a Multi-Lane Highway Environment

Chandramohan, A., Poel, M., Meijerink, B. & Heijenk, G., 13 Jun 2019, 2019 Wireless Days, WD 2019. IEEE Computer Society, 8734192

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Reinforcement learning
Packet loss
Communication
Sensors

Online Clustering for Novelty Detection and Concept Drift in Data Streams

Garcia, K. D., Poel, M., Kok, J. N. & de Carvalho, A. C. P. L. F., 1 Jan 2019, Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings. Moura Oliveira, P., Novais, P. & Reis, L. P. (eds.). Cham: Springer, p. 448-459 12 p. (Lecture Notes in Computer Science; vol. 11805)(Lecture Notes in Artificial Intelligence)(Lecture Notes in Bioinformatics).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Novelty Detection
Concept Drift
Data Streams
Clustering
Data Distribution

Reinforcement Learning and SLAM based approach for mobile robot navigation in unknown environments

Sirmaçek, B., Botteghi, N., Khaled, M., Stramigioli, S. & Poel, M., Jun 2019.

Research output: Contribution to conferencePaperAcademicpeer-review

Reinforcement learning
Mobile robots
Navigation
Robots
Silver
4 Downloads (Pure)

Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning

Wouda, F. J., Giuberti, M., Rudigkeit, N., van Beijnum, B-J. F., Poel, M. & Veltink, P. H., 27 Aug 2019, In : Sensors (Basel, Switzerland). 19, 17 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
learning
Learning
sensors
Sensors
markers
23 Downloads (Pure)
Open Access
File
Reinforcement learning
robot
reinforcement
Mobile robots
navigation

Prizes

Best paper award Intetain 2107

Mannes Poel (Recipient), 22 Jun 2017

Prize

Activities 1991 2004

  • 4 Oral presentation

Emotion Based Agent Architectures for Tutoring Systems. The HMI Approach

Mannes Poel (Speaker)
15 Apr 2004

Activity: Talk or presentationOral presentation

Hybride Systemen voor Data Mining

Mannes Poel (Keynote speaker)
1 Feb 2000

Activity: Talk or presentationOral presentation

CCL and the Search for Completeness

Mannes Poel (Speaker)
19 Oct 1993

Activity: Talk or presentationOral presentation

Cursus Neurale Netwerken t.b.v. het AIO-netwerk Kennistechnologie

Victor Goldman (Speaker), Mannes Poel (Speaker)
29 May 1991

Activity: Talk or presentationOral presentation