Apiwat Ditthapron

According to our database, Apiwat Ditthapron authored at least 9 papers between 2018 and 2023.

Collaborative distances:

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

2023

Masking Kernel for Learning Energy-Efficient Speech Representation.

Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert

CoRR, 2023

ADL-GAN: Data Augmentation to Improve In-the-Wild ADL Recognition Using GANs.

Apiwat Ditthapron, Adam C. Lammert, Emmanuel O. Agu

IEEE Access, 2023

On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment.

Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Continuous TBI Monitoring From Spontaneous Speech Using Parametrized Sinc Filters and a Cascading GRU.

Apiwat Ditthapron, Adam C. Lammert, Emmanuel O. Agu

IEEE J. Biomed. Health Informatics, 2022

2021

Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection.

Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Affective EEG-Based Person Identification Using the Deep Learning Approach.

Theerawit Wilaiprasitporn, Apiwat Ditthapron, Karis Matchaparn, Tanaboon Tongbuasirilai, Nannapas Banluesombatkul, Ekapol Chuangsuwanich

IEEE Trans. Cogn. Dev. Syst., 2020

2019

A comparative study for interpreting deep learning prediction of the Parkinson's disease diagnosis from SPECT imaging.

Theerasarn Pianpanit, Sermkiat Lolak, Phattarapong Sawangjai, Apiwat Ditthapron, Sanparith Marukatat, Ekapol Chuangsuwanich, Theerawit Wilaiprasitporn

CoRR, 2019

Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder.

Apiwat Ditthapron, Nannapas Banluesombatkul, Sombat Ketrat, Ekapol Chuangsuwanich, Theerawit Wilaiprasitporn

IEEE Access, 2019

2018

Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification.

Payongkit Lakhan, Apiwat Ditthapron, Nannapas Banluesombatkul, Theerawit Wilaiprasitporn

Proceedings of the TENCON 2018, 2018