Æȷοì
Myung Jun Kim
Myung Jun Kim
SODA Team, INRIA Saclay
inria.frÀÇ À̸ÞÀÏ È®ÀεÊ
Á¦¸ñ
Àοë
Àοë
¿¬µµ
Drug repurposing with network reinforcement
Y Nam, M Kim, HS Chang, H Shin
BMC bioinformatics 20, 1-10, 2019
242019
Semi-supervised learning for hierarchically structured networks
M Kim, D Lee, H Shin
Pattern Recognition 95, 191-200, 2019
232019
Historical inference based on semi-supervised learning
D Lee, S Lee, M Kim, H Shin
Expert Systems with Applications 106, 121-131, 2018
132018
Inference on chains of disease progression based on disease networks
D Lee, M Kim, H Shin
Plos one 14 (6), e0218871, 2019
102019
An inference method from multi-layered structure of biomedical data
M Kim, Y Nam, H Shin
BMC medical informatics and decision making 17, 1-10, 2017
102017
CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data
Y Nam, M Kim, K Lee, H Shin
BMC medical informatics and decision making 16, 163-173, 2016
82016
Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder
J Kim, M Kim, H Shin
2022 IEEE International Conference on Big Data and Smart Computing (BigComp ¡¦, 2022
52022
Inference on historical factions based on multi-layered network of historical figures
M Kim, D Lee, S Lee, G Lee, H Shin
Expert Systems with Applications 161, 113703, 2020
52020
CARTE: pretraining and transfer for tabular learning
MJ Kim, L Grinsztajn, G Varoquaux
arXiv preprint arXiv:2402.16785, 2024
32024
Mutual Domain Adaptation
S Park, MJ Kim, K Park, H Shin
Pattern Recognition 145, 109919, 2024
32024
Fast Prediction for Suspect Candidates from Criminal Networks
JH Jhee, MJ Kim, M Park, J Yeon, Y Kwak, H Shin
2023 IEEE International Conference on Big Data and Smart Computing (BigComp ¡¦, 2023
32023
Semi-supervised network regression with Gaussian process
M Kim, D Lee, H Shin
2022 IEEE International Conference on Big Data and Smart Computing (BigComp ¡¦, 2022
32022
Dementia key gene identification with multi-layered SNP-gene-disease network
D Lee, M Kim, SJ Son, CH Hong, H Shin
Bioinformatics 36 (Supplement_2), i831-i839, 2020
32020
Vectorizing string entries for data processing on tables: when are larger language models better?
L Grinsztajn, E Oyallon, MJ Kim, G Varoquaux
arXiv preprint arXiv:2312.09634, 2023
22023
Fast Integration for Multiple Graphs with Neumann Approximation
T Yun, MJ Kim, H Shin
2023 IEEE International Conference on Big Data and Smart Computing (BigComp ¡¦, 2023
12023
Learning Neural Networks without Lazy Weights
D Lee, J Cho, M Kim, S Park, H Shin
2022 IEEE International Conference on Big Data and Smart Computing (BigComp ¡¦, 2022
12022
Modeling string entries for tabular data prediction: do we need big large language models?
L Grinsztajn, MJ Kim, E Oyallon, G Varoquaux
NeurIPS 2023 Second Table Representation Learning Workshop, 2023
2023
Accelerated Graph Integration with Approximation of Combining Parameters
T Yun, MJ Kim, H Shin
International Conference on Machine Learning, Optimization, and Data Science ¡¦, 2023
2023
Lazy Node-Dropping Autoencoder
J Lee, MJ Kim, H Shin
2023 IEEE International Conference on Big Data and Smart Computing (BigComp ¡¦, 2023
2023
Fast Prediction for Criminal Suspects through Neighbor Mutual Information‐Based Latent Network
JH Jhee, MJ Kim, M Park, J Yeon, H Shin
International Journal of Intelligent Systems 2023 (1), 9922162, 2023
2023
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–20