Phasit Charoenkwan

Publication Activity (10 Years)

Years Active: 2006-2025
Publications (10 Years): 24

Top Topics

Convolutional Neural Network

Ensemble Learning

Top Venues

Comput. Biol. Medicine

J. Comput. Aided Mol. Des.

Publications

Phasit Charoenkwan, Nalini Schaduangrat, Le Thi Phan, Balachandran Manavalan, Watshara Shoombuatong
M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy. Future Gener. Comput. Syst. 162 (2025)
Thanakorn Chaisen, Phasit Charoenkwan, Cheong Ghil Kim, Pree Thiengburanathum
A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction. IEEE Access 12 (2024)
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Changmin Oh, Balachandran Manavalan, Watshara Shoombuatong
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning. Comput. Biol. Medicine 158 (2023)
Pree Thiengburanathum, Phasit Charoenkwan
SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation. IEEE Access 11 (2023)
Phasit Charoenkwan, Nalini Schaduangrat, Watshara Shoombuatong
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. BMC Bioinform. 24 (1) (2023)
Nalini Schaduangrat, Nuttapat Anuwongcharoen, Phasit Charoenkwan, Watshara Shoombuatong
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists. J. Cheminformatics 15 (1) (2023)
Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152 (2023)
Phasit Charoenkwan, Sasikarn Kongsompong, Nalini Schaduangrat, Pramote Chumnanpuen, Watshara Shoombuatong
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides. BMC Bioinform. 24 (1) (2023)
Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146 (2022)
Ratapol Wudhikarn, Phasit Charoenkwan, Kanokwan Malang
Deep Learning in Barcode Recognition: A Systematic Literature Review. IEEE Access 10 (2022)
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. 36 (11) (2022)
Teerawat Kamnardsiri, Phasit Charoenkwan, Chommaphat Malang, Ratapol Wudhikarn
1D Barcode Detection: Novel Benchmark Datasets and Comprehensive Comparison of Deep Convolutional Neural Network Approaches. Sensors 22 (22) (2022)
Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148 (2022)
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. Briefings Bioinform. 22 (6) (2021)
Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinform. 37 (17) (2021)
Aijaz Ahmad Malik, Warot Chotpatiwetchkul, Chuleeporn Phanus-umporn, Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors. J. Comput. Aided Mol. Des. 35 (10) (2021)
Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation. J. Comput. Aided Mol. Des. 34 (10) (2020)
Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides. J. Chem. Inf. Model. 60 (12) (2020)
Orawit Thinnukool, Phasit Charoenkwan, Pattaraporn Khuwuthyakorn, Pachara Tinamat
Word Cloud Analysis of Customer Satisfaction in Cosmetic Products in Thailand. ICCDA (2020)
Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich
Recognition-based character segmentation for multi-level writing style. Int. J. Document Anal. Recognit. 21 (1-2) (2018)
Phasit Charoenkwan
ThaiFBDeep: A Sentimental Analysis Using Deep Learning Combined with Bag-of-Words Features on Thai Facebook Data. IIAI-AAI (2018)
Papangkorn Inkeaw, Phasit Charoenkwan, Hui-Ling Huang, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich
Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features. Int. J. Document Anal. Recognit. 20 (4) (2017)
Vimolboon Cherapanukorn, Phasit Charoenkwan
Word Cloud of Online Hotel Reviews in Myanmar for Customer Satisfaction Analysis. IIAI-AAI (2017)
Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich
Rule-Based Page Segmentation for Palm Leaf Manuscript on Color Image. ICADL (2016)
Tamara Vasylenko, Yi-Fan Liou, Hong-An Chen, Phasit Charoenkwan, Hui-Ling Huang, Shinn-Ying Ho
SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method. BMC Bioinform. 16 (S-1) (2015)
Sujitra Arwatchananukul, Phasit Charoenkwan, Dan Xu
POC: Paphiopedilum Orchid Classifier. ICCI*CC (2015)
Hui-Ling Huang, Yu-Chung Wu, Li-Jen Su, Yun-Ju Huang, Phasit Charoenkwan, Wen-Liang Chen, Hua-Chin Lee, William C. Chu, Shinn-Ying Ho
Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data. BMC Bioinform. 16 (2015)
Yerukala Sathipati Srinivasulu, Jyun-Rong Wang, Kai-Ti Hsu, Ming-Ju Tsai, Phasit Charoenkwan, Wen-Lin Huang, Hui-Ling Huang, Shinn-Ying Ho
Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes. BMC Bioinform. 16 (S18) (2015)
Yi-Fan Liou, Phasit Charoenkwan, Yerukala Sathipati Srinivasulu, Tamara Vasylenko, Shih-Chung Lai, Hua-Chin Lee, Yi-Hsiung Chen, Hui-Ling Huang, Shinn-Ying Ho
SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides. BMC Bioinform. 15 (S-16) (2014)
Phasit Charoenkwan, Eric Hwang, Robert W. Cutler, Hua-Chin Lee, Li-Wei Ko, Hui-Ling Huang, Shinn-Ying Ho
HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening. BMC Bioinform. 14 (S-16) (2013)
Watshara Shoombuatong, Hui-Ling Huang, Jeerayut Chaijaruwanich, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho
Predicting protein crystallization using a simple scoring card method. CIBCB (2013)
Hui-Ling Huang, Yerukala Sathipati Srinivasulu, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho
Designing predictors of halophilic and non-halophilic proteins using support vector machines. CIBCB (2013)
Hui-Ling Huang, Ming-Hsin Hsu, Hua-Chin Lee, Phasit Charoenkwan, Shinn-Jang Ho, Shinn-Ying Ho
Prediction of Mouse Senescence from HE-Stain Liver Images Using an Ensemble SVM Classifier. ACIIDS (2) (2013)
Hui-Ling Huang, Phasit Charoenkwan, Te-Fen Kao, Hua-Chin Lee, Fang-Lin Chang, Wen-Lin Huang, Shinn-Jang Ho, Li-Sun Shu, Wen-Liang Chen, Shinn-Ying Ho
Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition. BMC Bioinform. 13 (S-17) (2012)
Shinn-Ying Ho, Chih-Yuan Chao, Hui-Ling Huang, Tzai-Wen Chiu, Phasit Charoenkwan, Eric Hwang
NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery. BMC Bioinform. 12 (2011)
Phasit Charoenkwan, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Sakarindr Bhumiratana
DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion. ADMA (2006)