Seung-Jun Kim

发表

An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types

Sunho Park, Min-Su Kim, Beibei Chen, 2015, bioRxiv.

Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps

Rui Jin, Tülay Adali, Seung-Jun Kim, 2020, IEEE Journal of Selected Topics in Signal Processing.

Online power system state estimation using alternating direction method of multipliers

Seung-Jun Kim, Seung-Jun Kim, 2015, 2015 IEEE Power & Energy Society General Meeting.

Brain tumor image segmentation using kernel dictionary learning

Seung-Jun Kim, Jeon Lee, Rong Chen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Kernel-Based Lifelong Multitask Multiview Learning

Seung-Jun Kim, Rami Mowakeaa, Darren Emge, 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers.

Joint fMRI analysis and subject clustering using sparse dictionary learning

Seung-Jun Kim, Krishna K. Dontaraju, Seung-Jun Kim, 2017, Optical Engineering + Applications.

Flexible large-scale fMRI analysis: A survey

Vince D. Calhoun, Tülay Adali, Seung-Jun Kim, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Online kernel dictionary learning

Seung-Jun Kim, Seung-Jun Kim, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Breast cancer detection/diagnosis with upstream data fusion and machine learning

Seung-Jun Kim, William C. Walton, Benjamin M. W. Tsui, 2020, Other Conferences.

Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning

Tülay Adali, Seung-Jun Kim, Mohammad A. B. S. Akhonda, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Building Energy Management for Demand Response Using Kernel Lifelong Learning

Hyuk Lim, Seung-Jun Kim, Rami Mowakeaa, 2020, IEEE Access.

Channel Gain Cartography for Cognitive Radios Leveraging Low Rank and Sparsity

Georgios B. Giannakis, Donghoon Lee, Seung-Jun Kim, 2017, IEEE Transactions on Wireless Communications.

Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]

Gonzalo Mateos, Georgios B. Giannakis, Konstantinos Slavakis, 2014, IEEE Signal Processing Magazine.

New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning

T. Adalı, Seung-Jun Kim, Furkan Kantar, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting Multi-Modal Sensing for Increased Detection Fidelity of Pipeline Leakage

Seung-Jun Kim, Soobum Lee, Mohamed Younis, 2019, Volume 2B: 45th Design Automation Conference.

Radio frequency interference detection for passive remote sensing using eigenvalue analysis

Seung-Jun Kim, Priscilla N. Mohammed, Adam J. Schoenwald, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Towards CNN-Based Registration of Craniocaudal and Mediolateral Oblique 2-D X-ray Mammographic Images

Seung-Jun Kim, Susan C. Harvey, Lisa A. Mullen, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Discriminative Dictionary Learning for Mixture Component Detection with Application to RF Signal Recognition

Hao Chen, Seung-Jun Kim, Thomas Chatt, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Online kernel dictionary learning on a budget

Seung-Jun Kim, Jeon Lee, Seung-Jun Kim, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Robust RF Mixture Signal Recognition Using Discriminative Dictionary Learning

Seung-Jun Kim, Hao Chen, Seung-Jun Kim, 2021, IEEE Access.