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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

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
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
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
23 Downloads (Pure)
Open Access
Reinforcement learning
Mobile robots


Best paper award Intetain 2107

Mannes Poel (Recipient), 22 Jun 2017


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