Phasit Charoenkwan

38 papers C 3Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intelligent drone-based framework for autonomous inventory data inspection. Intell. Syst. Appl. Phudinan Singkhamfu, Phasit Charoenkwan, Teerawat Kamnardsiri, Somkeit Noamna, Chommaphat Malang, Ratapol Wudhikarn
2025	J	`jnl`	M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy. Future Gener. Comput. Syst. Phasit Charoenkwan, Nalini Schaduangrat, Le Thi Phan, Balachandran Manavalan, Watshara Shoombuatong
2025	J	`jnl`	iMRSA-Fuse: A Fast and Accurate Computational Approach for Predicting Anti-MRSA Peptides by Fusing Multi-View Information. IEEE Trans. Comput. Biol. Bioinform. Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Watshara Shoombuatong
2024	J	`jnl`	A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction. IEEE Access Thanakorn Chaisen, Phasit Charoenkwan, Cheong Ghil Kim, Pree Thiengburanathum
2023	J	`jnl`	DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists. J. Cheminformatics Nalini Schaduangrat, Nuttapat Anuwongcharoen, Phasit Charoenkwan, Watshara Shoombuatong
2023	J	`jnl`	PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning. Comput. Biol. Medicine Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Changmin Oh, Balachandran Manavalan, Watshara Shoombuatong
2023	J	`jnl`	PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong
2023	J	`jnl`	SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation. IEEE Access Pree Thiengburanathum, Phasit Charoenkwan
2023	J	`jnl`	StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. BMC Bioinform. Phasit Charoenkwan, Nalini Schaduangrat, Watshara Shoombuatong
2023	J	`jnl`	TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides. BMC Bioinform. Phasit Charoenkwan, Sasikarn Kongsompong, Nalini Schaduangrat, Pramote Chumnanpuen, Watshara Shoombuatong
2022	J	`jnl`	1D Barcode Detection: Novel Benchmark Datasets and Comprehensive Comparison of Deep Convolutional Neural Network Approaches. Sensors Teerawat Kamnardsiri, Phasit Charoenkwan, Chommaphat Malang, Ratapol Wudhikarn
2022	J	`jnl`	Deep Learning in Barcode Recognition: A Systematic Literature Review. IEEE Access Ratapol Wudhikarn, Phasit Charoenkwan, Kanokwan Malang
2022	J	`jnl`	Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong
2022	J	`jnl`	NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong
2022	J	`jnl`	SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong
2021	J	`jnl`	BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinform. Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong
2021	J	`jnl`	StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors. J. Comput. Aided Mol. Des. Aijaz Ahmad Malik, Warot Chotpatiwetchkul, Chuleeporn Phanus-umporn, Chanin Nantasenamat, Phasit Charoenkwan, Watshara Shoombuatong
2021	J	`jnl`	StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. Briefings Bioinform. Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong
2020	J	`jnl`	Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation. J. Comput. Aided Mol. Des. Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong
2020	—	`conf`	Word Cloud Analysis of Customer Satisfaction in Cosmetic Products in Thailand. ICCDA Orawit Thinnukool, Phasit Charoenkwan, Pattaraporn Khuwuthyakorn, Pachara Tinamat
2020	J	`jnl`	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. Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong
2018	J	`jnl`	Recognition-based character segmentation for multi-level writing style. Int. J. Document Anal. Recognit. Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich
2018	—	`conf`	ThaiFBDeep: A Sentimental Analysis Using Deep Learning Combined with Bag-of-Words Features on Thai Facebook Data. IIAI-AAI Phasit Charoenkwan
2017	J	`jnl`	Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features. Int. J. Document Anal. Recognit. Papangkorn Inkeaw, Phasit Charoenkwan, Hui-Ling Huang, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich
2017	—	`conf`	Word Cloud of Online Hotel Reviews in Myanmar for Customer Satisfaction Analysis. IIAI-AAI Vimolboon Cherapanukorn, Phasit Charoenkwan
2016	—	`conf`	Rule-Based Page Segmentation for Palm Leaf Manuscript on Color Image. ICADL Papangkorn Inkeaw, Jakramate Bootkrajang, Phasit Charoenkwan, Sanparith Marukatat, Shinn-Ying Ho, Jeerayut Chaijaruwanich
2015	J	`jnl`	Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes. BMC Bioinform. Yerukala Sathipati Srinivasulu, Jyun-Rong Wang, Kai-Ti Hsu, Ming-Ju Tsai, Phasit Charoenkwan, Wen-Lin Huang, Hui-Ling Huang, Shinn-Ying Ho
2015	J	`jnl`	Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data. BMC Bioinform. 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
2015	—	`conf`	POC: Paphiopedilum Orchid Classifier. ICCI*CC Sujitra Arwatchananukul, Phasit Charoenkwan, Dan Xu
2015	J	`jnl`	SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method. BMC Bioinform. Tamara Vasylenko, Yi-Fan Liou, Hong-An Chen, Phasit Charoenkwan, Hui-Ling Huang, Shinn-Ying Ho
2014	J	`jnl`	SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides. BMC Bioinform. 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
2013	C	`conf`	Designing predictors of halophilic and non-halophilic proteins using support vector machines. CIBCB Hui-Ling Huang, Yerukala Sathipati Srinivasulu, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho
2013	J	`jnl`	HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening. BMC Bioinform. Phasit Charoenkwan, Eric Hwang, Robert W. Cutler, Hua-Chin Lee, Li-Wei Ko, Hui-Ling Huang, Shinn-Ying Ho
2013	C	`conf`	Predicting protein crystallization using a simple scoring card method. CIBCB Watshara Shoombuatong, Hui-Ling Huang, Jeerayut Chaijaruwanich, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho
2013	—	`conf`	Prediction of Mouse Senescence from HE-Stain Liver Images Using an Ensemble SVM Classifier. ACIIDS (2) Hui-Ling Huang, Ming-Hsin Hsu, Hua-Chin Lee, Phasit Charoenkwan, Shinn-Jang Ho, Shinn-Ying Ho
2012	J	`jnl`	Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition. BMC Bioinform. 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
2011	J	`jnl`	NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery. BMC Bioinform. Shinn-Ying Ho, Chih-Yuan Chao, Hui-Ling Huang, Tzai-Wen Chiu, Phasit Charoenkwan, Eric Hwang
2006	C	`conf`	DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion. ADMA Phasit Charoenkwan, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Sakarindr Bhumiratana