Browsing by Keyword : Machine Learning

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Showing results 46 to 59 of 59

Pub YearTitleAJOU Author(s)
2024Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder박래웅, 박범희, 손상준
2021NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningBalachandran, Manavalan
2021New approach of prediction of recurrence in thyroid cancer patients using machine learning김수영
2021Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects김한태, 장정훈, 정연훈
2019Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data문소영
2023Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study박래웅, 손상준
2022Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation SitesBasith, Shaherin, 이광, 장혜진
2024SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model featuresBasith, Shaherin, 이광
2021StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptidesBalachandran, Manavalan
2022STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site predictionBalachandran, Manavalan, Basith, Shaherin, 이광
2022The Bio-signal based Model to Predict the Occurrence of Delirium in Intensive Care Unit(ICU)김형준
2022THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine SitesBasith, Shaherin, 이광
2023Translation of Machine Learning-Based Prediction Algorithms to Personalised Empiric Antibiotic Selection: A Population-Based Cohort Study박래웅, 최영화
2021Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learningBalachandran, Manavalan
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