Theerawit Wilaiprasitporn
Orcid: 0000-0003-4941-4354
According to our database1,
Theerawit Wilaiprasitporn
authored at least 45 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Internet Things J., October, 2024
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification.
IEEE Internet Things J., September, 2024
Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering, 2024
2023
RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation.
IEEE Internet Things J., September, 2023
PACMAN: A Framework for Pulse Oximeter Digit Detection and Reading in a Low-Resource Setting.
IEEE Internet Things J., August, 2023
OCTAve: 2D En Face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning With Locality Augmentation.
IEEE Trans. Biomed. Eng., June, 2023
ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating an Antidepressant Effect in Mice After Administering Kratom Leaf Extracts.
IEEE Trans. Biomed. Circuits Syst., February, 2023
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection.
CoRR, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
An Extended System for External Sensors Data Acquisition and Validation During Conducting Polysomnography.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Combining EEG and NLP Features for Predicting Students' Lecture Comprehension Using Ensemble Classification.
Proceedings of the International Conference on Computing and Communication Technologies, 2023
Effects of Trial-Adjusted Neurofeedback Training on Motor-Imagery Based Brain-Computer Interface Performance.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
PPGANet: Removal of Motion Artifacts from the PPG Signal Using Generative Adversarial Networks.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2022
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection.
IEEE Trans. Ind. Informatics, 2022
Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study.
IEEE Trans. Geosci. Remote. Sens., 2022
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification.
IEEE Trans. Biomed. Eng., 2022
CoRR, 2022
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation.
CoRR, 2022
An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
2021
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB.
IEEE J. Biomed. Health Informatics, 2021
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning.
IEEE J. Biomed. Health Informatics, 2021
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition.
IEEE Trans. Instrum. Meas., 2021
Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts From EEG Recordings.
IEEE Trans. Instrum. Meas., 2021
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result.
CoRR, 2021
A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features.
CoRR, 2021
CoRR, 2021
Compact CNN for Rapid Inter-day Hand Gesture Recognition and Person Identification from sEMG.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
2020
IEEE Trans. Cogn. Dev. Syst., 2020
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning.
CoRR, 2020
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting.
CoRR, 2020
2019
A comparative study for interpreting deep learning prediction of the Parkinson's disease diagnosis from SPECT imaging.
CoRR, 2019
Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder.
IEEE Access, 2019
2018
CoRR, 2018
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach.
CoRR, 2018
Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification.
Proceedings of the TENCON 2018, 2018
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning.
Proceedings of the TENCON 2018, 2018
Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach.
Proceedings of the TENCON 2018, 2018
2016
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
Proceedings of the International Convention on Rehabilitation Engineering & Assistive Technology, 2016
2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Orientation-modulated attention effect on visual evoked potential: Application for PIN system using brain-computer interface.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Investigation of P300 response characteristics through human color vision-based visual stimulation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014