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Publications

Conference


2024

  • [I34] T. Kim and S.-E. Kim*, "TWEN: EEG Emotion Recognition Model Based on Weakly Supervised Learning Framework with Two-Phase Multitask Autoencoder", ICTC2024, Oct 16-18, Jeju, ROK

  • [I33] Mariem Kallel, B. Park, K. Seo and S.-E. Kim*, "Multimodal Machine Learning Model For MCI Detection Using EEG, MRI and VR Data", ITC-CSCC2024, Jul 2-5, Okinawa, Japan

  • [I32] Y. Kim and S.-E. Kim*, "Exploring Differences in Postoperative Delirium Patients Using EEG Spectrum and Microstate Analysis", Mind, Brain & Data, May 23-24, Seoul, ROK

  • [I31] D. Kim, H. Kim, C. Jin, C. Shin and S.-E. Kim*, "Multitask Autoencoder-based Two-Phase Framework using Multilevel Feature Fusion for EEG Emotion Recognition", ICEIC2024,Jan 28-31, Taiwan, China


2023

  • [I30] D. Kim, H. Kim, C. Jin, and S.-E. Kim*, "Attention-Temporal Convolutional Networks for EEG-based Emotion Recognition," Proceedings of ICCE-Asia 2023, Oct 23-25, Busan, Korea.

  • [D39] D. Kim, H. Kim, C. Jin, and S.-E. Kim*, "EEG 기반 감정인식을 위한 Attention-Temporal Convolution 구조의 성능 검증," IKEEE Summer Conference 2023, Aug 16-18, Jeju, Korea. (Korean)

  • [D38] Y. Choi, Y. Lee, C. Jin, and S.-E. Kim*, "감정 인식을 위한 GNN 기반 DGCNN 모델의 활용," IKEEE Summer Conference 2023, Aug 16-18, Jeju, Korea. (Korean)

  • [I29] C. Jin and S.-E. Kim*, "Two-Phase Autoencoder-based Convolutional Neural Network for EEG Motor Imagery Classification," 45th Annual International Conference of the IEEE EMBC 2023, July 24-27, Sydney, Australia.

  • [I28] C.W. Shin, J. Yim, Y. Kim, and S.-E. Kim*, "Machine Learning-based Postoperative Delirium Prediction using Frontal Intraoperative Electroencephalogram," 45th Annual International Conference of the IEEE EMBC 2023, July 24-27, Sydney, Australia.

  • [I27] Y. Kim and S.-E. Kim*, "Machine Learning-based Postoperative Delirium Prediction using Frontal Intraoperative Electroencephalogram," 45th Annual International Conference of the IEEE EMBC 2023, July 24-27, Sydney, Australia.

  • [I26] I. A. P. A. Crisdayanti and S.-E. Kim*, "High-level and Low-level Feature Fusion Through Knowledge Propagation for Respiratory Sound Classification," 45th Annual International Conference of the IEEE EMBC 2023, July 24-27, Sydney, Australia.

  • [D37] J. Yim and S.-E. Kim*, "A study on EEG data augmentation using score-based model based on Fourier coefficients generation," KICS Summer Conference 2023, Jun 21-24, Jeju, Korea. (Korean) (Best Paper Award)

  • [D36] S. Jeong and S.-E. Kim*, "A study on classification of respiratory disease based on digital lung sound using audio spectrogram transformer," KICS Summer Conference 2023, Jun 21-24, Jeju, Korea. (Korean)

  • [D35] C.W. Shin, J. Yim, Y. Kim, and S.-E. Kim*, "휴식 상태 뇌파를 이용한 경도 인지 장애의 조기 발견을 위한 복잡성, 기능적 연결성 및 그래프 분석," KSCS Annual Conference 2023, May 26, Seoul, Korea. (Korean)
     

  • [D34] Y. Kim and S.-E. Kim*, "Differential effects of sevoflurane and desflurane on intraoperative electroencephalo-gram dynamics associated with postoperative delirium," KSCS Annual Conference 2023, May 26, Seoul, Korea. (Korean)

2022

  • [I25] C. Jin and S.-E. Kim*, "EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion," Proceedings of ICCE-Asia 2022, Nov 26-28, Yeosu, Korea. (Best Paper Award)

  • [I24] I. A. P. A. Crisdayanti and S.-E. Kim*, "Multilevel Feature Fusion-based Convolutional Neural Network for Anomaly Classification of Respiratory Sound," Proceedings of ICCE-Asia 2022, Nov 26-28, Yeosu, Korea.
     

  • [D33] J.-H. Jung, C.-G. Jin, and S.-E. Kim*, "A Comparison of Fake Fingerprint Detection Models Based on Autoencoder and Variable Autoencoder," Autumn Annual Conference of IEIE 2022, Nov 25-26, Konjiam Resort, Korea. (Korean)
     

  • [D32] Y. Choi, Y.-S. Kim, J. Park, H. Choi, and S.-E. Kim*, "Functional Brain Connectivity Analysis of Alzheimer's Disease Using Phase Lag Entropy," Autumn Annual Conference of IEIE 2022, Nov 25-26, Konjiam Resort, Korea. (Korean)
     

  • [D31] D. Jeong, Y.-S. Kim, J. Park, H. Choi, and S.-E. Kim*, "Prediction of Mild Cognitive Impairment based on EEG Rhythm Analysis," Autumn Annual Conference of IEIE 2022, Nov 25-26, Konjiam Resort, Korea. (Korean)

  • [D30] S. Nam, I. A. P. A. Crisdayanti, M. Lee, S.-E. Kim, and S. Jung, "Detection of Abnormal Breathing Sounds in Children using Deep Learning Algorithms," Korean Pediatric Society Fall Conference 2022, Oct 20-21, Seoul, Korea. (Korean)
     

  • [D29] E.-S. Park, I. A. P. A. Crisdayanti, and S.-E. Kim*, "Development of Deep Learning Technology for Diagnosing Lung Sound Based on Digital Stethoscope of All Ages," Proceedings of IKEEE Summer Conference 2022, Aug 11-13, 2022, Jeju, Korea. (Korean)

  • [D28] H.-R Han, Y. Kim and S.-E. Kim*, "Classification and Analysis of Post Anesthesia Care Unit Pain Based on Brain Wave Using Machine Learning Algorithm Techniques," Proceedings of IKEEE Summer Conference 2022, Aug 11-13, 2022, Jeju, Korea. (Korean) (Best Paper Award)

  • [D27] C. Jin and S.-E. Kim*, "Sensor Fault Detection and Prediction Techniques using Variational AutoEncoder based Data Trend Analysis," Proceedings of IEIE Summer Conference 2022, Jun 29-Jul 1, 2022, Jeju, Korea. (Korean)

  • [D26] I. A. P. A. Crisdayanti, S. Nam, S. Jung, M. Lee and S.-E. Kim*, "Multilevel Feature Extraction-Based CNN-LSTM Network for Detection of Children’s Abnormal Respiratory Sound," Proceedings of KICS Summer Conference 2022, Jun 22-24, 2022, Jeju, Korea. (English)\

  • [D25] J. Jung, S. Subin and S.-E. Kim*, "A Study on the detection of photo of urine test strip using white balancing algorithm," Proceedings of KICS Winter Conference 2022, Feb 10, 2022, Gangwon, Korea. (Korean)
     

  • [D24] Y. Choi, K. Kim, Y. Kim and S.-E. Kim*, "A Study on the EEG-based Motor Imagery Classfication for BCI," Proceedings of KICS Winter Conference 2022, Feb 10, 2022, Gangwon, Korea. (Korean)
     

  • [D23] C. Jin and S.-E. Kim*, "Sensor Default Detection using Long Short Term Memory based Neural Networks," Proceedings of KICS Winter Conference 2022, Feb 10, 2022, Gangwon, Korea. (Korean)

2021
 

  • [I23] I.-K. Song, Y.-S. Kim, B. A. Lee, W.-J. Shin, S.-E. Kim*, "Age-dependent Electroencephalographic Spectral Patterns during Midazolam-induced General Anesthesia for Congenital Heart Surgery in Children," Neuroscience 2021, Nov 8-11, Online (2021)
     

  • [I22] K. Kong, J. Lee, Y. Kwak, Y.-R. Cho, S.-E. Kim, W.-J. Song, "Mitigating Memorization in Sample Selection for Learning with Noisy Labels" International Conference for Machine Learning Workshop (ICML) (Spotlight), Jul 24, Online (2021).
     

  • [D22] Y.-S. Kim, B.-H. Hong, Y.-M. Jo, and S.-E. Kim*, "Anesthesia-depth Estimation based on Frequency Band Power in EEG," Proceedings of IEIE Summer Conference 2021, Jun 30-Jul 2, 2021, Jeju, Korea. (Korean)
     

  • [D21] Y. Kwak, W.-J. Song, and S.-E. Kim*, "Deep Learning with Data Augmentation for EEG Classification," Proceedings of IEIE Summer Conference 2021, Jun 30- Jul 2, 2021, Jeju, Korea. (Korean)
     

  • [I21] Y. Kwak, W.-J. Song, and S.-E. Kim*, “Deep Feature Normalization using Rest State EEG Signals for Brain-Computer Interface," Proc. International Conference on Electronics, Information, and Communication (ICEIC), Jan 31-Feb 3, Jeju, Korea (2021). (Best Paper Award)

2020
 

  • [I20] Y. Kwak, W.-J. Song, and S.-E. Kim*, “Graph Neural Network with Multilevel Feature Fusion for EEG based Brain-Computer Interface," Proc. IEEE/IEIE International Conference on Consumer Electronics (ICCE) Asia, Nov 1-3, Haewondae, Korea (2020).
     

  • [D20] Y. Kwak, W.-J. Song, and S.-E. Kim*, "EEG-based Emotion Recognition Using Graph Neural Network with Static and Dynamic Adjacency Matrix," Proceedings of IEIE Summer Conference 2020, Aug 19-21, 2020, Jeju, Korea. (Korean)
     

  • [D19] Y.-S. Kim and S.-E. Kim*, "전신 마취 수술 중 측정한 EEG에서 Suppression 검출 알고리즘," Proceedings of IKEEE Summer Conference 2020, Aug 13, 2020, Seoul, Korea. (Korean)
     

  • [I19] Y. Kwak, W.-J. Song, B.-K. Min, and S.-E. Kim*, “3D CNN based Multilevel Feature Fusion for Workload Estimation,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Feb. 26-28, Gangwon, Korea (2020).
     

  • [D18] B. Park, E. Kang, T. Kang, J.-J. Lee and S.-E. Kim*, "A Study on the User Recognition based on Human Body Impulse Response," Proceedings of KICS Winter Conference 2020, Feb 6, 2020, Gangwon, Korea. (Korean)
     

  • [D17] Y. Kwak, W.-J. Song, B.-K. Min and S.-E. Kim*, "Classification of Working Memory Performance with 3D Convolutional Neural Network from EEG Signals," Proceedings of KICS Winter Conference 2020, Feb 6, 2020, Gangwon, Korea. (Korean)

2019

  • [D16] S.-M. Kim and S.-E. Kim*, "Study on Selection of Installation Area for Distributed Photovoltaic Generator based on Power Demand and Supply Characteristics of Incheon Metropolitan City," Proceedings of KIEE Summer Conference 2019, Jul 11, 2019, Gangwon, Korea. (Korean)
     

  • [D15] Y.-S. Kim, W.-J. Choi, H.-S. Park, and S.-E. Kim*, "Comparison of Awareness Risk under, Thiopental and Propofol induced General Anesthesia using Bispectral Index, Spectral Entorpy, Renyi Permutation Entorpy" Proceedings of IEIE Summer Conference 2019, Jun 27, 2019 Jeju, Korea. (Korean)
     

  • [D14] Y. Kwak, W.-J. Song, B.-K. Min and S.-E. Kim*, "Brain Functional Networks Analysis in Working Memory Task," Proceedings of 2019 IEIE Summer Conference, Jun 27, 2019, Jeju, Korea. (Korean)
     

  • [I18] S.-E. Kim, D. Ba, and E. N. Brown, “A Multitaper Frequency-Domain Bootstrap Method," IEEE Int. Conf. on Acoustics, Speech, and Signal Process., May 12-17, Brighton, UK (2019).
     

  • [I17] Y. Kwak, W.-J. Song, and S.-E. Kim*, “Classification of Working Memory Performance from EEG with Deep Artificial Neural Networks,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Feb. 18-20, Gangwon, Korea (2019).

     

2018
 

  • [D13] Y. Kwak, W.-J. Song, and S.-E. Kim*, "Noise-Invariant Convolutional Recurrent Neural Network for EEG Signal," Proceedings of IEIE Summer Conference 2018, Jun 28, 2018, Jeju, Korea. (Korean)
     

  • [D12] J.-W. Kim, Y.-S. Kim, S.-M. Kim, M.-S. Han, and S.-E. Kim*, "Authentication using Pulse Signals based on Machine Learning Algorithms," Proceedings of IEIE Summer Conference 2018, Jun 28, 2018, Jeju, Korea. (Korean)


 

2017

  • [I16] L. Cornelissen, S.-E. Kim, P. L. Purdon, E. N. Brown, and C. B. Berde, "Postnatal development of GABAergic-dependent brain oscillations during sevoflurane anesthesia in children 0 to 3 years old," Neuroscience 2017, Nov 11-15, Washing, DC, USA (2017).
     

  • [I15] S.-E. Kim, M. Behr, D. Ba, and E. N. Brown, "State-Space Model Based Multitaper Spectral Estimation," The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jul 11-15, Jeju, Korea (2017).
     

  • [D11] S.-E. Kim, "Adaptive State-Space Spectral Estimation Algorithm for Improving EEG Spectral Resolution," Proceedings of 2017 IEIE Summer Conference, Jun 30, 2017, Haewondae, Korea. (Korean)

2007-2016

  • [I14] L. Cornelissen†, S.-E. Kim†, P. L. Purdon, E. N. Brown, and C. B. Berde, "Age-dependent electroencephalography (EEG) patterns during sevoflurane general anesthesia in infants," Anesthesiology 2015, Oct 24-28, San Diego, USA (2015). (*equally contributed authors)
     

  • [I13] L. Cornelissen, S.-E. Kim, P. L. Purdon, E. N. Brown, and C. B. Berde, "Postnatal development of spatial and temporal EEG characteristics of anesthetic state in infants 0-6 months," Neuroscience 2015, Oct 17-21, Chicago, USA (2015).
     

  • [I12]F. J. Flores, K. Hartnack, A. B. Fath, S.-E. Kim, M. A. Wilson, E. N. Brown, and P. L. Purdon, "Thalamocortical synchronization during propofol-induced unconsciousness," Neuroscience 2015, Oct 17-21, Chicago, IL, USA (2015).
     

  • [I11] S.-E. Kim, D. Ba, and E. N. Brown, "Multitapter Frequency Domain Bootstrap," The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015), Aug 25-29, Milan, Italy (2015).
     

  • [I10] S.-E. Kim, Y. Kim, J. Yoon, and E. S. Kim, "Indoor Navigation System Using Geomagnetic Anormalies for Smartphones," International Conference on Indoor Positioning and Indoor Navigation (IPIN'12), Sep 13-15, Sydney, Australia, (2012).
     

  • [I9] H.-S. Lee, S.-E. Kim, J.-W. Lee, and W.-J. Song, "A Variable Step-size Diffusion LMS Algorithm for Distributed Estimation over Networks," Proceedings of The 27th Internation Technical Conference on Circuits/Sytems, Computers, and Communications (ITC-CSCC'12), Jul 15-18, Sapporo, Japan, (2012). (Best Paper Award)
     

  • [D10] H.-S. Lee, S.-E. Kim, and W.-J. Song, "Diffusion LMS Algorithm with Variable Step-Size", Proceedings of The 24th Korean Signal Processing Conference (KSPC'11), Sep 24, Kwangju, Korea. (2011) (Korean)
     

  • [I8] M.-K. Song, S.-E. Kim, Y.-S. Choi, and W.-J. Song, "An Efficient Normalized Subband Adaptive Filter Exploiting a Subset of Subbands," European Signal Processing Conference (EUSIPCO-2011), Aug 29- Sep. 2, Barcelona, Spain (2011).
     

  • [I7] J.-W. Lee, S.-E. Kim, W.-J. Song, and A. H. Sayed, "Spatial-Temporal Diffusion LMS Algorithms for Distributed Estimation Over Adaptive Network," European Signal Processing Conference (EUSIPCO-2011), Aug 29- Sep 2, Barcelona, Spain (2011).
     

  • [I6] S.-E. Kim, J.-W. Lee, and W.-J. Song, "Steady-State Analysis of the NLMS Algorithm with Reusing Coefficient Vector and a Method for Improving Its Performance," IEEE Int. Conf. on Acoustics, Speech, and Signal Process. (ICASSP '11), pp. 4120-4123, May 22-27, Prague, Czech Republic (2011).
     

  • [D9] K.-H. Kim, Y.-S. Choi, S.-E. Kim, and W.-J. Song, "An Affine Projection Algorithm with Sporadic Updates," Proceedings of 2010 IEEK Fall Conference, Nov 2010, pp. 2557-2558. (Korean)
     

  • [D8] K.-H. Kim, S.-E. Kim, and W.-J. Song, "Parallel Affine Projection Filters with Selective Updates," Proceedings of The 23rd Korean Signal Processing Conference (KSPC'10), Oct 2010. (Korean)
     

  • [D7] S.-E. Kim, Y.-S. Choi, and W.-J. Song, "A New Normalized Subband Adaptive Filter for Improving Performance at a Low SNR," Proceedings of 2010 IEEK Summer Conference, vol. 33, no. 1, Jun 2010, pp. 2-3. (Korean)
     

  • [I5] J.-J. Hong, S.-E. Kim, and W.-J. Song, "Clipping Reduction Algorithm using Backlight Luminance Compensation for Local Dimming in Liqiuid Crystal Displays," IEEE International Conference on Consumer Electronics Digest of Technical Papers (ICCE'10), pp. 55-56, Jan 11-13, Las Vegas, USA (2010).
     

  • [D6] J.-W. Lee, S.-E. Kim, and W.-J. Song, "Subband Pseudo Affine Projection Algorithm," Proceedings of The 22nd Korean Signal Processing Conference (KSPC'09), Sep 2009. (Korean)
     

  • [D5] S.-E. Kim, Young-Seok Choi, and Woo-Jin Song, "Improved Normalized Sign LMS Algorithm with Sparse Updates," Proceedings of The 22nd Korean Signal Processing Conference (KSPC'09), Sep 2009. (Korean)
     

  • [D4] M.-K. Song, S.-E. Kim, and W.-J. Song, "Dynamic Band Selective Normalized Subband Adaptive Filter," Proceedings of 2009 IEEK Summer Conference, vol. 32, no. 1, Jul 2009, pp. 973-974. (Korean)
     

  • [I4] J.-H. Lee, S.-E. Kim, T.-H. Lee, and W.-J. Song, "Flicker Reduction Backlight Control based on Adaptive Moving Average Filtering," SID International Symposium Digest of Technical Papers, vol. 40, pp. 1294-1297, May 31-Jun. 5, San Antonio, USA (2009).
     

  • [I3] J.-Y. An, S.-E. Kim, and W.-J. Song, "Adaptive Local Dimming Backlight for Liquid Crystal Displays," Proceedings of The 15th International Display Workshops (IDW'08), pp. 285-288, Dec 3-5, Niigata, Japan (2008). (Outstanding Poster Paper Award)
     

  • [D3] S.-E. Kim, S.-J. Kong, and W.-J. Song, "Affine Projection Algorithm with Variable Order," Proceedings of The 21st Korean Signal Processing Conference (KSPC'08), Sep 2008. (Korean)
     

  • [D2] J.-H. Lee, S.-E. Kim, J.-Y. An, and W.-J. Song, "Motion Blur Reducing Algorithm with Adaptive Frame Manipulation," Proceedings of The 21st Korean Signal Processing Conference (KSPC'08), Sep 2008. (Korean)
     

  • [I2] K.-H. Kim, Y.-S. Choi, S.-E. Kim, and W.-J. Song, "Convex Combination of Affine Projection Filters with Individual Regularization," Proceedings of The 23rd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'08), pp. 901-904, Jul 6-9, Shimonoseki, Japan (2008).
     

  • [I1] S.-E. Kim, Y.-S. Choi, Y.-K. Han, and W.-J. Song, "Partial-Update L∞-Norm Adaptive Filtering Algorithm with Sparse Updates," Proceedings of The 23rd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'08), pp.905-908, Jul 6-9, Shimonoseki, Japan (2008).
     

  • [D1] S.-E. Kim, Y.-S. Choi, J.-E. Lee, and W.-J. Song, "Partial-Update L∞-norm based Adaptive Filtering Algorithm with Sparse Updates," Proceedings of The 20th Korean Signal Processing Conference (KSPC'07), Oct 2007. (Korean)
     

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