Supavit Kongwudhikunakorn

Supavit Kongwudhikunakorn
Vidyasirimedhi Institute of Science and Technology · School of Information Science and Technology(IST)

Doctor of Philosophy

About

9
Publications
6,960
Reads
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117
Citations
Citations since 2017
9 Research Items
117 Citations
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Introduction
BRAIN Lab, VISTEC, Thailand; Neurodegenerative and Neurocognitive Disorders Lab, Siriraj Medical Research Center, Thailand
Additional affiliations
August 2019 - present
Vidyasirimedhi Institute of Science and Technology
Position
  • PhD Student
Education
June 2016 - May 2018
Kasetsart University
Field of study
  • Computer Engineering

Publications

Publications (9)
Article
Detection of mild cognitive impairment (MCI) and dementia (DEM) is an important topic because, unless it is treated early, MCI can progress to DEM, which is an untreatable disease. This paper proposes a timed-up-and-go (TUG) task features analysis and classification of MCI and DEM using inertial measurement units (IMU) in wearable devices. Our goal...
Article
Full-text available
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 progress has shown that Electroencephalography (EEG) is the promising and cost-effective test to facilitate the detection of neurocognitive disorders. However, most of th...
Preprint
Full-text available
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 progress has shown that Electroencephalography (EEG) is the promising and cost-effective test to facilitate the detection of neurocognitive disorders. However, most of th...
Article
This paper presents a method for clustering short text documents, such as news headlines, social media statuses, or instant messages. Due to the characteristics of these documents, which are usually short and sparse, an appropriate technique is required to discover hidden knowledge. The objective of this paper is to identify the combination of docu...
Article
Full-text available
This paper presents a method for clustering short text documents, such as news headlines, social media statuses, or instant messages. Due to the characteristics of these documents, which are usually short and sparse, an appropriate technique is required to discover hidden knowledge. The objective of this paper is to identify the combination of docu...
Preprint
(datasets: https://github.com/IoBT-VISTEC/EEG-Emotion-Recognition) Since the launch of the first consumer grade EEG measuring sensors 'NeuroSky Mindset' in 2007, the market has witnessed an introduction of at least one new product every year by competing manufacturers, which include NeuroSky, Emotiv, interaXon and OpenBCI. There are numerous variat...
Article
Full-text available
This paper presents a method for clustering short text documents, such as instant messages, SMS, or news headlines. Vocabularies in the texts are expanded using external knowledge sources and represented by a Distributed Word Representation. Clustering is done using the K-means algorithm with Word Mover's Distance as the distance metric. Experiment...
Article
This paper presents a method for clustering short text documents, such as instant messages, SMS, or news headlines. Vocabularies in the texts are expanded using external knowledge sources and represented by a Distributed Word Representation. Clustering is done using the K-means algorithm with Word Mover's Distance as the distance metric. Experiment...
Conference Paper
Full-text available
Abstract— Short text documents are composed of very limited words such as social media statuses and text messages. Analyzing and clustering context of these short text documents are challenging problems in active data mining research field where text sparsity is the main issue. However, many different techniques have been developed for clustering l...

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