activity
20182024
most citedMIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

190 citations · 421 across the 14 of their papers we have counts for

collaborators

27 papers

cs.LG2024★ 24 cited

MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification

Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan +2

Recent advances in deep learning (DL) have significantly impacted motor imagery (MI)-based brain-computer interface (BCI) systems, enhancing the decoding of electroencephalography…

cs.CL2023

Combining EEG and NLP Features for Predicting Students' Lecture Comprehension using Ensemble Classification

Phantharach Natnithikarat, Theerawit Wilaiprasitporn, Supavit Kongwudhikunakorn

Electroencephalography (EEG) and Natural Language Processing (NLP) can be applied for education to measure students' comprehension in classroom lectures; currently, the two measure…

q-bio.QM2023

PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection

Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul +13

Patch classification models based on deep learning have been utilized in whole-slide images (WSI) of H&E-stained tissue samples to assist pathologists in grading follicular lymphom…

eess.SP2023★ 9 cited

ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing

Tanut Choksatchawathi, Guntitat Sawadwuthikul, Punnawish Thuwajit +7

Detecting obstructive sleep apnea (OSA) is essential for diagnosing and managing sleep health. Traditionally, this involves clinical settings with hardly accessible processes. We p…

eess.IV2022

PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting

Chiraphat Boonnag, Wanumaidah Saengmolee, Narongrid Seesawad +7

In light of the COVID-19 pandemic, patients were required to manually input their daily oxygen saturation (SpO2) and pulse rate (PR) values into a health monitoring system-unfortun…

q-bio.QM2022

ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts

Jakkrit Nukitram, Rattanaphon Chaisaen, Phairot Autthasan +7

Kratom (KT) typically exerts antidepressant (AD) effects. However, evaluating which form of KT extracts possesses AD properties similar to the standard AD fluoxetine (flu) remained…