190 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Theerawit Wilaiprasitporn2 profiles24 · h 22
- Phairot Autthasan8 · h 8
- Nannapas Banluesombatkul6 · h 7
- Pitshaporn Leelaarporn6 · h 13
- P. Manoonpong6 · h 32
- Apiwat Ditthapron5 · h 6
- E. Chuangsuwanich5 · h 20
- Nat Dilokthanakul2 profiles5 · h 10
- Thapanun Sudhawiyangkul5 · h 13
- Narin Kunaseth4 · h 5
- Payongkit Lakhan4 · h 5
- Rattanaphon Chaisaen4 · h 7
- Chulalongkorn UniversityTH9 papers
- Kasetsart UniversityTH8 papers
- King Mongkut's University of Technology ThonburiTH6 papers
- Mahidol UniversityTH5 papers
- University of Southern DenmarkDK4 papers
- Worcester Polytechnic InstituteUS4 papers
- Christian-Albrechts-Universität zu KielDE2 papers
- King Chulalongkorn Memorial HospitalTH2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- KU LeuvenBE2 papers
- Macquarie UniversityAU2 papers
- Maersk (Denmark)DK2 papers
3 papers · 1 filter
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan +2
Recent advances in deep learning (DL) have significantly impacted motor imagery (MI)-based brain-computer interface (BCI) systems, enhancing the decoding of electroencephalography…
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition
Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip +9
In the status quo, dementia is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid progression of the emerging cognitive impairment. Recent…
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski +1
The problem of sparse rewards is one of the hardest challenges in contemporary reinforcement learning. Hierarchical reinforcement learning (HRL) tackles this problem by using a set…