1. CMU Intellectual Repository

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Results 1-10 of 20 (Search time: 0.002 seconds).
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Issue DateTitleAuthor(s)
1-Jan-2020Companies Trading Signs Prediction Using Fuzzy Hybrid Operator with Swarm Optimization AlgorithmsPanuwit Pholkerd; Sansanee Auephanwiriyakul; Nipon Theera-Umpon
1-Jan-2020VAR-GRU: A Hybrid Model for Multivariate Financial Time Series PredictionLkhagvadorj Munkhdalai; Meijing Li; Nipon Theera-Umpon; Sansanee Auephanwiriyakul; Keun Ho Ryu
1-Jun-2020In vitro drug sensitivity (IDS) of patient-derived primary osteosarcoma cells as an early predictor of the clinical outcomes of osteosarcoma patientsJeerawan Klangjorhor; Areerak Phanphaisarn; Pimpisa Teeyakasem; Parunya Chaiyawat; Phichayut Phinyo; Jongkolnee Settakorn; Nipon Theera-Umpon; Dumnoensun Pruksakorn
2-Sep-2020Xgboost-based framework for smoking-induced noncommunicable disease predictionKhishigsuren Davagdorj; Van Huy Pham; Nipon Theera-Umpon; Keun Ho Ryu
1-Aug-2020Unsupervised anomaly detection approach for time-series in multi-domains using deep reconstruction errorTsatsral Amarbayasgalan; Van Huy Pham; Nipon Theera-Umpon; Keun Ho Ryu
1-May-2022Automatic Programmable Bioreactor with pH Monitoring System for Tissue Engineering ApplicationSuruk Udomsom; Apiwat Budwong; Chanyanut Wongsa; Pakorn Sangngam; Phornsawat Baipaywad; Chawan Manaspon; Sansanee Auephanwiriyakul; Nipon Theera-Umpon; Pathinan Paengnakorn
1-Jan-2022Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series ForecastingLkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Van Huy Pham; Meijing Li; Keun Ho Ryu; Nipon Theera-Umpon
1-Jan-2022Variational Autoencoder-Based Deep Neural Network for Coronary Heart Disease Risk PredictionTsatsral Amarbayasgalan; Kwang Ho Park; Khishigsuren Davagdorj; Keun Ho Ryu; Nipon Theera-Umpon
1-Jan-2021Automobile Parts Localization Using Multi-layer Multi-model Images Classifier EnsembleNattapat Karaket; Sansanee Auephanwiriyakul; Nipon Theera-Umpon
1-Jan-2022An Ensemble Semantic Textual Similarity Measure Based on Multiple Evidences for Biomedical DocumentsMeijing Li; Xianhe Zhou; Keun Ho Ryu; Nipon Theera-Umpon

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