Akara Supratak

Orcid: 0000-0002-6739-7642

According to our database1, Akara Supratak authored at least 13 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models.
Artif. Intell. Medicine, May, 2023

A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds.
Multim. Tools Appl., February, 2023

2022
HUMAN DETECTION AND SOCIAL DISTANCING MEASUREMENT IN A VIDEO.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022

2021
A Lightweight Deep Learning Approach to Mosquito Classification from Wingbeat Sounds.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

2020
A Study of Expert/Novice Perception in Arthroscopic Shoulder Surgery.
Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Construction of A Mobile Video Retrieval Dataset in the Cloud: Dos, Don'ts, and the Analysis.
Proceedings of the 19th International Symposium on Communications and Information Technologies, 2019

2017
Learning from biosignals.
PhD thesis, 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016
Survey on Feature Extraction and Applications of Biosignals.
Proceedings of the Machine Learning for Health Informatics, 2016

Mixed Neural Network Approach for Temporal Sleep Stage Classification.
CoRR, 2016

2014
Feature extraction with stacked autoencoders for epileptic seizure detection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Enabling Performance as a Service for a Cloud Storage System.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014


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