AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Charoenkwan, Phasit, Ahmed, Saeed, Nantasenamat, Chanin, Quinn, Julian M. W., Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara
Published in Scientific reports (11.05.2022)
Published in Scientific reports (11.05.2022)
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SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Charoenkwan, Phasit, Schaduangrat, Nalini, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran, Shoombuatong, Watshara
Published in Computers in biology and medicine (01.07.2022)
Published in Computers in biology and medicine (01.07.2022)
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SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
Ahmad, Saeed, Charoenkwan, Phasit, Quinn, Julian M. W., Moni, Mohammad Ali, Hasan, Md Mehedi, Lio’, Pietro, Shoombuatong, Watshara
Published in Scientific reports (08.03.2022)
Published in Scientific reports (08.03.2022)
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iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features
Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md. Mehedi, Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara
Published in International journal of molecular sciences (19.08.2021)
Published in International journal of molecular sciences (19.08.2021)
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Arbitrary Scale Super-Resolution for Medical Images
Zhu, Jin, Tan, Chuan, Yang, Junwei, Yang, Guang, Lio', Pietro
Published in International journal of neural systems (01.10.2021)
Published in International journal of neural systems (01.10.2021)
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PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning
Charoenkwan, Phasit, Pipattanaboon, Chonlatip, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio’, Pietro, Shoombuatong, Watshara
Published in Computers in biology and medicine (01.01.2023)
Published in Computers in biology and medicine (01.01.2023)
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StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio', Pietro, Manavalan, Balachandran, Shoombuatong, Watshara
Published in Methods (San Diego, Calif.) (01.08.2022)
Published in Methods (San Diego, Calif.) (01.08.2022)
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Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides
Charoenkwan, Phasit, Chumnanpuen, Pramote, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali, Shoombuatong, Watshara
Published in Journal of computer-aided molecular design (01.11.2022)
Published in Journal of computer-aided molecular design (01.11.2022)
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
van der Schaar, Mihaela, Alaa, Ahmed M., Floto, Andres, Gimson, Alexander, Scholtes, Stefan, Wood, Angela, McKinney, Eoin, Jarrett, Daniel, Lio, Pietro, Ercole, Ari
Published in Machine learning (01.01.2021)
Published in Machine learning (01.01.2021)
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StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy
Schaduangrat, Nalini, Anuwongcharoen, Nuttapat, Moni, Mohammad Ali, Lio’, Pietro, Charoenkwan, Phasit, Shoombuatong, Watshara
Published in Scientific reports (30.09.2022)
Published in Scientific reports (30.09.2022)
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HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Islam, Md Shofiqul, Hasan, Khondokar Fida, Sultana, Sunjida, Uddin, Shahadat, Lio’, Pietro, Quinn, Julian M.W., Moni, Mohammad Ali
Published in Neural networks (01.05.2023)
Published in Neural networks (01.05.2023)
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DADIM: A distance adjustment dynamic influence map model
Lu, Xiaofeng, Wang, Xiaoming, Lio’, Pietro, Hui, Pan
Published in Future generation computer systems (01.11.2020)
Published in Future generation computer systems (01.11.2020)
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AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis
Chen, Yutong, Schonlieb, Carola-Bibiane, Lio, Pietro, Leiner, Tim, Dragotti, Pier Luigi, Wang, Ge, Rueckert, Daniel, Firmin, David, Yang, Guang
Published in Proceedings of the IEEE (01.02.2022)
Published in Proceedings of the IEEE (01.02.2022)
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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Roberts, Michael, Driggs, Derek, Thorpe, Matthew, Gilbey, Julian, Yeung, Michael, Ursprung, Stephan, Aviles-Rivero, Angelica I., Etmann, Christian, McCague, Cathal, Beer, Lucian, Weir-McCall, Jonathan R., Teng, Zhongzhao, Gkrania-Klotsas, Effrossyni, Rudd, James H. F., Sala, Evis, Schönlieb, Carola-Bibiane
Published in Nature machine intelligence (01.03.2021)
Published in Nature machine intelligence (01.03.2021)
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