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Journal Articles
- 2023
[j26]Soojeong Lee
, Gangseong Lee:
Automatic Features Extraction Integrated With Exact Gaussian Process for Respiratory Rate and Uncertainty Estimations. IEEE Access 11: 2754-2766 (2023)- 2022
- [j25]Soojeong Lee, Hyeonjoon Moon, Mugahed A. Al-antari, Gangseong Lee:
Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations. Sensors 22(21): 8386 (2022) - 2020
- [j24]Soojeong Lee, Chang-Hwan Son, Marcelo Keese Albertini, Henrique C. Fernandes:
Multi-Phases and Various Feature Extraction and Selection Methodology for Ensemble Gradient Boosting in Estimating Respiratory Rate. IEEE Access 8: 125648-125658 (2020) - [j23]Soojeong Lee, Gaseong Lee:
Ensemble Methodology for Confidence Interval in Oscillometric Blood Pressure Measurements. J. Medical Syst. 44(5): 91 (2020) - [j22]Soojeong Lee, Gangseong Lee:
Support Vector Regression-Based Recursive Ensemble Methodology for Confidence Interval Estimation in Blood Pressure Measurements. J. Sensors 2020: 7360702:1-7360702:8 (2020) - [j21]Soojeong Lee, Hilmi R. Dajani, Sreeraman Rajan, Gangseong Lee, Voicu Z. Groza:
Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology. Sensors 20(7): 2108 (2020) - 2019
- [j20]Soojeong Lee, Gangseong Lee, Gwanggil Jeon:
Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates. Sensors 19(9): 2137 (2019) - 2018
- [j19]Soojeong Lee, Awais Ahmad, Gwanggil Jeon:
Combining Bootstrap Aggregation with Support Vector Regression for Small Blood Pressure Measurement. J. Medical Syst. 42(4): 63:1-63:7 (2018) - 2017
- [j18]Soojeong Lee, Joon-Hyuk Chang:
Deep Belief Networks Ensemble for Blood Pressure Estimation. IEEE Access 5: 9962-9972 (2017) - [j17]Soojeong Lee, Sreeraman Rajan, Gwanggil Jeon, Joon-Hyuk Chang, Hilmi R. Dajani, Voicu Z. Groza:
Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model. Comput. Biol. Medicine 85: 112-124 (2017) - [j16]Soojeong Lee, Joon-Hyuk Chang:
Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation. Comput. Methods Programs Biomed. 151: 1-13 (2017) - [j15]Soojeong Lee, Joon-Hyuk Chang:
Spectral difference for statistical model-based speech enhancement in speech recognition. Multim. Tools Appl. 76(23): 24917-24929 (2017) - [j14]Soojeong Lee, Joon-Hyuk Chang:
Oscillometric Blood Pressure Estimation Based on Deep Learning. IEEE Trans. Ind. Informatics 13(2): 461-472 (2017) - 2016
- [j13]Soojeong Lee, Gangseong Lee:
Noise Estimation and Suppression Using Nonlinear Function with A Priori Speech Absence Probability in Speech Enhancement. J. Sensors 2016: 5352437:1-5352437:7 (2016) - [j12]Soojeong Lee, Joon-Hyuk Chang:
On using multivariate polynomial regression model with spectral difference for statistical model-based speech enhancement. J. Syst. Archit. 64: 76-85 (2016) - [j11]Soojeong Lee, Chee-Hyun Park, Joon-Hyuk Chang:
Improved Gaussian Mixture Regression Based on Pseudo Feature Generation Using Bootstrap in Blood Pressure Estimation. IEEE Trans. Ind. Informatics 12(6): 2269-2280 (2016) - 2015
- [j10]Soojeong Lee, Sreeraman Rajan, Chee-Hyun Park, Joon-Hyuk Chang, Hilmi R. Dajani, Voicu Z. Groza:
Estimated confidence interval from single blood pressure measurement based on algorithmic fusion. Comput. Biol. Medicine 62: 154-163 (2015) - [j9]Chee-Hyun Park, Soojeong Lee, Joon-Hyuk Chang:
Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals. IET Commun. 9(11): 1388-1395 (2015) - [j8]Chee-Hyun Park, Soojeong Lee, Joon-Hyuk Chang:
Robust closed-form time-of-arrival source localization based on α-trimmed mean and Hodges-Lehmann estimator under NLOS environments. Signal Process. 111: 113-123 (2015) - 2014
- [j7]Soojeong Lee, Chungsoo Lim, Joon-Hyuk Chang:
A new a priori SNR estimator based on multiple linear regression technique for speech enhancement. Digit. Signal Process. 30: 154-164 (2014) - [j6]Chungsoo Lim, Soojeong Lee, Jae-Hun Choi, Joon-Hyuk Chang:
Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(3): 865-868 (2014) - 2013
- [j5]Soojeong Lee:
Can Speaking Activities of Residents in a Virtual World Make Difference to Their Self-Expression? J. Educ. Technol. Soc. 16(1): 254-262 (2013) - [j4]Soojeong Lee, Gwanggil Jeon, Gangseong Lee:
On Using Maximum a Posteriori Probability Based on a Bayesian Model for Oscillometric Blood Pressure Estimation. Sensors 13(10): 13609-13623 (2013) - [j3]Soojeong Lee, Joon-Hyuk Chang, Sang Won Nam, Chungsoo Lim, Sreeraman Rajan, Hilmi R. Dajani, Voicu Z. Groza:
Oscillometric Blood Pressure Estimation Based on Maximum Amplitude Algorithm Employing Gaussian Mixture Regression. IEEE Trans. Instrum. Meas. 62(12): 3387-3389 (2013) - 2012
- [j2]Walter Foreman, Soojeong Lee, Myeongseok Ko, Sangchul Bae, Sanghoon Han:
Effects of an educational game with a situated learning strategy on Korean students' English writing abilities. Smart Comput. Rev. 2(5): 318-326 (2012) - 2011
- [j1]Soojeong Lee, Miodrag Bolic, Voicu Z. Groza, Hilmi R. Dajani, Sreeraman Rajan:
Confidence Interval Estimation for Oscillometric Blood Pressure Measurements Using Bootstrap Approaches. IEEE Trans. Instrum. Meas. 60(10): 3405-3415 (2011)
Conference and Workshop Papers
- 2023
- [c5]Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee:
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. MLHC 2023: 423-442 - 2022
- [c4]Seokbeom Oh, Soojeong Lee, Yong-Geun Hong, Gyuyeol Kong, Hyun-Kook Kahng:
Performance Evaluation of Partial Offloading under Various Scenarios in Mobile Edge Computing. ICACT 2022: 49-52 - 2007
- [c3]Soojeong Lee, Soonhyob Kim:
Speech Enhancement Using Masking of Noisy Power Estimates. FBIT 2007: 609-612 - [c2]Soojeong Lee, Soonhyob Kim:
Speech Enhancement Using Gain Function of Noisy Power Estimates and Linear Regression. FBIT 2007: 613-616 - 2006
- [c1]Soojeong Lee, Kiho Choi, Soonhyob Kim:
Conventional Beamformer Using Post-filter for Speech Enhancement. ICHIT 2006: 188-197
Informal and Other Publications
- 2023
- [i2]Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee:
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. CoRR abs/2305.02504 (2023) - [i1]Seongho Keum, Sanghyun Kim, Soojeong Lee, Juho Lee:
Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification. CoRR abs/2311.17466 (2023)
Coauthor Index
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