Enabling Performance as a Service for a Cloud Storage System. - Yang Li 003; Li Guo 002; Akara Supratak; Yike Guo (IEEE CLOUD, 2014)

Feature extraction with stacked autoencoders for epileptic seizure detection. - Akara Supratak; Ling Li 010; Yike Guo (EMBC, 2014)

Mixed Neural Network Approach for Temporal Sleep Stage Classification. - Hao Dong 003; Akara Supratak; Wei Pan 004; Chao Wu 001; Paul M. Matthews; Yike Guo (CoRR, 2016)

Survey on Feature Extraction and Applications of Biosignals. - Akara Supratak; Chao Wu 001; Hao Dong 003; Kai Sun 005; Yike Guo (Machine Learning for Health Informatics, 2016)

TensorLayer: A Versatile Library for Efficient Deep Learning Development. - Hao Dong 003; Akara Supratak; Luo Mai; Fangde Liu; Axel Oehmichen; Simiao Yu; Yike Guo (ACM Multimedia, 2017)

Learning from biosignals. - Akara Supratak (2017)

Construction of A Mobile Video Retrieval Dataset in the Cloud: Dos, Don'ts, and the Analysis. - Thanyaporn Noiplab; Mongkon Sakdanupab; Akara Supratak; Thanapong Intharah (ISCIT, 2019)

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG. - Akara Supratak; Yike Guo (EMBC, 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 (ICMHI, 2020)

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 (GoodIT, 2021)

HUMAN DETECTION AND SOCIAL DISTANCING MEASUREMENT IN A VIDEO. - Kosin Saramas; Jidapa Kraisangka; Akara Supratak; Thanapon Noraset; Boonsit Yimwadsana; Worapan Kusakunniran (JCSSE, 2022)

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., 2023)

Quantifying the impact of data characteristics on the transferability of sleep stage scoring models. - Akara Supratak; Peter Haddawy (Artif. Intell. Medicine, 2023)

TeReKG: A temporal collaborative knowledge graph framework for software team recommendation. - Pisol Ruenin; Morakot Choetkiertikul; Akara Supratak; Suppawong Tuarob (Knowl. Based Syst., 2024)

Normal Pressure Hydrocephalus Classification using Weakly-Supervised Local Feature Extraction. - Akara Supratak; Siripra Kingchan; Phuriwat Angkoondittaphong; Poonsuta Nava-apisak; Jitsupa Wongsripuemtet; Thanapon Noraset; Worapan Kusakunniran; Peter Haddawy; Dittapong Songsaeng (Comput. Biol. Medicine, 2025)

Dynamic blinking feature extraction for automated facial nerve paralysis detection. - Akara Supratak; Watsaporn Pornwatanacharoen; Varit Rungbanapan; Skonlawut Tasnaworanun; Rachata Chopdamrongtham; Thanapon Noraset; Manachaya Prukajorn; Pimkwan Jaru-ampornpan (Comput. Biol. Medicine, 2025)