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Kim, Hyungi
60  Ergebnisse:
OpenAccess-Volltexte X
Personensuche X
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1

避航操船の定量化に関する研究 : 実用化を想定した運航データを用いた解析について:

金, 賢冀 ; キム, ヒョンギ ; KIM, HYUNGI
博甲第668号.  , 2023
Link: https://oacis.repo.nii.a..
 
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2

Determining star formation rates of active galactic nuclei ..:

Kim, Changseok ; Woo, Jong-Hak ; Jadhav, Yashashree...
http://arxiv.org/abs/2202.10044.  , 2022
Link: http://arxiv.org/abs/220..
 
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3

Kaleidoscopic fluorescent arrays for machine-learning-based..:

Kim, Hyungi ; Choi, Sang-Kee ; Ahn, Jungmo...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802756/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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4

Protein transfer learning improves identification of heat s..:

Seonwoo Min ; HyunGi Kim ; Byunghan Lee.
https://doi.org/10.1371/journal.pone.0251865.  , 2021
Link: https://doi.org/10.1371/..
 
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5

Boxplot of the F1 scores obtained from DeeperHSP with diffe..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/figure/Boxplot_of_the_F1_scores_obtained_from_DeeperHSP_with_different_pre-trained_protein_representations_using_5-fold_cross-validation_/14612788.  , 2021
Link: https://doi.org/10.1371/..
 
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6

Summary of cross-validation and independent test datasets:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Summary_of_cross-validation_and_independent_test_datasets_/14612797.  , 2021
Link: https://doi.org/10.1371/..
 
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7

t-SNE plot of the latent representations of DeepHSP and Dee..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/figure/t-SNE_plot_of_the_latent_representations_of_DeepHSP_and_DeeperHSP_for_the_cross-validation_dataset_/14612779.  , 2021
Link: https://doi.org/10.1371/..
 
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8

Comparison of overall classification performance using inde..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Comparison_of_overall_classification_performance_using_independent_test_/14612806.  , 2021
Link: https://doi.org/10.1371/..
 
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9

Summary of related works:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Summary_of_related_works_/14612791.  , 2021
Link: https://doi.org/10.1371/..
 
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10

Comparison of overall classification performance using 5-fo..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Comparison_of_overall_classification_performance_using_5-fold_cross-validation_/14612800.  , 2021
Link: https://doi.org/10.1371/..
 
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11

Confusion matrices of the modified ir-HSP and DeeperHSP pre..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/figure/Confusion_matrices_of_the_modified_ir-HSP_and_DeeperHSP_predictions_for_the_independent_test_dataset_/14612782.  , 2021
Link: https://doi.org/10.1371/..
 
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12

Comparison of class-wise classification performance in term..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Comparison_of_class-wise_classification_performance_in_terms_of_F1_score_using_5-fold_cross-validation_/14612803.  , 2021
Link: https://doi.org/10.1371/..
 
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13

Heatmaps of the F1 scores obtained from baseline algorithms..:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/figure/Heatmaps_of_the_F1_scores_obtained_from_baseline_algorithms_using_5-fold_cross-validation_/14612785.  , 2021
Link: https://doi.org/10.1371/..
 
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14

Pre-trained protein language models:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Pre-trained_protein_language_models_/14612794.  , 2021
Link: https://doi.org/10.1371/..
 
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15

Comparison of running time required for each algorithm:

Seonwoo Min (10818790) ; HyunGi Kim (10818793) ; Byunghan Lee (4282594).
https://figshare.com/articles/dataset/Comparison_of_running_time_required_for_each_algorithm_/14612809.  , 2021
Link: https://doi.org/10.1371/..
 
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