Akara Supratak

According to our database, Akara Supratak authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TeReKG: A temporal collaborative knowledge graph framework for software team recommendation.

Pisol Ruenin, Morakot Choetkiertikul, Akara Supratak, Suppawong Tuarob

Knowl. Based Syst., 2024

2023

Quantifying the impact of data characteristics on the transferability of sleep stage scoring models.

Akara Supratak, Peter Haddawy

Artif. Intell. Medicine, May, 2023

A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds.

Myat Su Yin, Peter Haddawy, Tim Ziemer, Fabian Wetjen, Akara Supratak, Kanrawee Chiamsakul, Worameth Siritanakorn, Tharit Chantanalertvilai, Patchara Sriwichai, Chaitawat Sa-ngamuang

Multim. Tools Appl., February, 2023

2022

HUMAN DETECTION AND SOCIAL DISTANCING MEASUREMENT IN A VIDEO.

Kosin Saramas, Jidapa Kraisangka, Akara Supratak, Thanapon Noraset, Boonsit Yimwadsana, Worapan Kusakunniran

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.

Myat Su Yin, Peter Haddawy, Borvorntat Nirandmongkol, Tup Kongthaworn, Chanaporn Chaisumritchoke, Akara Supratak, Chaitawat Sa-ngamuang, Patchara Sriwichai

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

2020

A Study of Expert/Novice Perception in Arthroscopic Shoulder Surgery.

Myat Su Yin, Peter Haddawy, Benedikt Hosp, Paphon Sa-Ngasoongsong, Thanwarat Tanprathumwong, Madereen Sayo, Supawit Yangyuenpradorn, Akara Supratak

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.

Akara Supratak, Yike Guo

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.

Thanyaporn Noiplab, Mongkon Sakdanupab, Akara Supratak, Thanapong Intharah

Proceedings of the 19th International Symposium on Communications and Information Technologies, 2019

2017

Learning from biosignals.

Akara Supratak

PhD thesis, 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development.

Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Survey on Feature Extraction and Applications of Biosignals.

Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo

Proceedings of the Machine Learning for Health Informatics, 2016

Mixed Neural Network Approach for Temporal Sleep Stage Classification.

Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

CoRR, 2016

2014

Feature extraction with stacked autoencoders for epileptic seizure detection.

Akara Supratak, Ling Li, Yike Guo

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.

Yang Li, Li Guo, Akara Supratak, Yike Guo

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014