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Changhee Lee
Changhee Lee
Assistant Professor, Chung-Ang University
Zweryfikowany adres z cau.ac.kr
Tytuł
Cytowane przez
Cytowane przez
Rok
Deephit: A deep learning approach to survival analysis with competing risks
C Lee, W Zame, J Yoon, M Van Der Schaar
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
5262018
Dynamic-deephit: A deep learning approach for dynamic survival analysis with competing risks based on longitudinal data
C Lee, J Yoon, M Van Der Schaar
IEEE Transactions on Biomedical Engineering 67 (1), 122-133, 2019
2122019
A Variational Information Bottleneck Approach to Multi-Omics Data Integration
C Lee, M van der Schaar
The 24th International Conference on Artificial Intelligence and Statistics, 2021
662021
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results …
C Lee, A Light, A Alaa, D Thurtle, M van der Schaar, VJ Gnanapragasam
The Lancet Digital Health 3 (3), e158-e165, 2021
642021
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
C Lee, M van der Schaar
The 37th International Conference on Machine Learning, 2020
582020
Development of a novel, potentially universal machine learning algorithm for prediction of complications after total hip arthroplasty
AA Shah, SK Devana, C Lee, R Kianian, M van der Schaar, NF SooHoo
The Journal of arthroplasty 36 (5), 1655-1662. e1, 2021
332021
Temporal Quilting for Survival Analysis
C Lee, WR Zame, AM Alaa, M van der Schaar
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
302019
Joint user scheduling and adaptive intercell interference cancelation for MISO downlink cellular systems
SH Moon, C Lee, SR Lee, I Lee
IEEE transactions on vehicular technology 62 (1), 172-181, 2012
302012
Survite: Learning heterogeneous treatment effects from time-to-event data
A Curth, C Lee, M van der Schaar
Advances in Neural Information Processing Systems 34, 26740-26753, 2021
252021
Interference avoidance resource allocation for D2D communication based on graph-coloring
C Lee, SM Oh, AS Park
2014 International Conference on Information and Communication Technology …, 2014
242014
Device-to-device communication method and apparatus
MY Yun, S Jaesheung, S Oh, C Lee, AS Park
US Patent App. 14/527,511, 2015
222015
Prediction of major complications and readmission after lumbar spinal fusion: a machine learning–driven approach
AA Shah, SK Devana, C Lee, A Bugarin, EL Lord, AN Shamie, DY Park, ...
World neurosurgery 152, e227-e234, 2021
192021
Estimation of individual treatment effect in latent confounder models via adversarial learning
C Lee, N Mastronarde, M van der Schaar
arXiv preprint arXiv:1811.08943, 2018
192018
Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion
AA Shah, SK Devana, C Lee, A Bugarin, EL Lord, AN Shamie, DY Park, ...
European Spine Journal 31 (8), 1952-1959, 2021
172021
D2d (device-to-device) discovery method and resource allocation method
S Jaesheung, MY Yun, S Oh, C Lee, AS Park
US Patent App. 14/526,673, 2015
172015
Self-Supervision Enhanced Feature Selection with Correlated Gates
C Lee, F Imrie, M van der Schaar
International Conference on Learning Representations, 2022
162022
A novel, potentially universal machine learning algorithm to predict complications in total knee arthroplasty
SK Devana, AA Shah, C Lee, AR Roney, M van der Schaar, NF SooHoo
Arthroplasty Today 10, 135-143, 2021
152021
Dynamic RACH preamble allocation scheme
HY Hwang, SM Oh, C Lee, JH Kim, J Shin
2015 International Conference on Information and Communication Technology …, 2015
152015
Outcome-oriented deep temporal phenotyping of disease progression
C Lee, J Rashbass, M Van der Schaar
IEEE Transactions on Biomedical Engineering 68 (8), 2423-2434, 2020
132020
Device and method for transmitting reference signal
OS Park, KIM Cheulsoon, GY Park, C Lee
US Patent 10,447,445, 2019
132019
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