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Maytus Piriyajitakonkij
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2020 – today
- 2024
- [j6]Nutaya Pravalphruekul
, Maytus Piriyajitakonkij
Correction to "De Novo Design of Molecules with Multiaction Potential from Differential Gene Expression using Variational Autoencoder". J. Chem. Inf. Model. 64(5): 1763 (2024) - [i4]Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions. CoRR abs/2403.01977 (2024) - [i3]Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Ian Ballard, Ioannis Pappas:
What Makes a Face Look like a Hat: Decoupling Low-level and High-level Visual Properties with Image Triplets. CoRR abs/2409.02241 (2024) - 2023
- [j5]Nutaya Pravalphruekul
De Novo Design of Molecules with Multiaction Potential from Differential Gene Expression using Variational Autoencoder. J. Chem. Inf. Model. 63(13): 3999-4011 (2023) - 2022
- [j4]Nakorn Kumchaiseemak, Itthi Chatnuntawech
Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j3]Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 26(10): 4913-4924 (2022) - 2021
- [j2]Supavit Kongwudhikunakorn
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j1]Maytus Piriyajitakonkij, Patchanon Warin
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB. IEEE J. Biomed. Health Informatics 25(4): 1305-1314 (2021) - [i2]Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Cuntai Guan, Vorapun Senanarong, Theerawit Wilaiprasitporn:
A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features. CoRR abs/2103.03854 (2021) - [i1]Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul:
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result. CoRR abs/2106.10112 (2021)
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