An Integration Model of Role-Based Access Control and Activity Based Access Control Using Task. - Sejong Oh; Seog Park (DBSec, 2000)

Task-Role Based Access Control (T-RBAC): An Improved Access Control Model for Enterprise Environment. - Sejong Oh; Seog Park (DEXA, 2000)

Enterprise Model as a Basis of Administration on Role-Based Access Control. - Sejong Oh; Seog Park (CODAS, 2001)

A Process of Abstracting T-RBAC Aspects from Enterprise Environment. - Sejong Oh; Seog Park (DASFAA, 2001)

An Improved Administration Method on Role-Based Access Control in the Enterprise Environment. - Sejong Oh; Seog Park (J. Inf. Sci. Eng., 2001)

A model for role administration using organization structure. - Sejong Oh; Ravi S. Sandhu (SACMAT, 2002)

A Quantitative Comparison of Two Retargetable Compilation Approaches. - Sejong Oh; Yunheung Paek (ICPP, 2003)

PBDM: a flexible delegation model in RBAC. - Xinwen Zhang; Sejong Oh; Ravi S. Sandhu (SACMAT, 2003)

Task-role-based access control model. - Sejong Oh; Seog Park (Inf. Syst., 2003)

New Concept of Authority Range for Flexible Management of Role Hierarchy. - Sejong Oh (WISA, 2005)

OS-DRAM: A Delegation Administration Model in a Decentralized Enterprise Environment. - Changwoo Byun; Seog Park; Sejong Oh (WAIM, 2006)

An Organizational Structure-Based Administration Model for Decentralized Access Control. - Sejong Oh; Changwoo Byun; Seog Park (J. Inf. Sci. Eng., 2006)

An effective role administration model using organization structure. - Sejong Oh; Ravi S. Sandhu; Xinwen Zhang (ACM Trans. Inf. Syst. Secur., 2006)

Permission-Centric Hybrid Access Control. - Sejong Oh (APWeb/WAIM Workshops, 2007)

Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations. - Sejong Oh; Yoonsuck Choe (Neurocomputing, 2007)

Statistical power profile correlation for realistic thermal estimation. - Love Singhal; Sejong Oh; Eli Bozorgzadeh (ASP-DAC, 2008)

Yield maximization for system-level task assignment and configuration selection of configurable multiprocessors. - Love Singhal; Sejong Oh; Eli Bozorgzadeh (CODES+ISSS, 2008)

Speculative Loop-Pipelining in Binary Translation for Hardware Acceleration. - Sejong Oh; Tag Gon Kim; Jeonghun Cho 001; Elaheh Bozorgzadeh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine. - Joo-Young Kim 001; Minsu Kim 004; Seungjin Lee 001; Jinwook Oh; Kwanho Kim; Sejong Oh; Jeong-Ho Woo; Donghyun Kim 014; Hoi-Jun Yoo (ISSCC, 2009)

Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining. - Joo-Young Kim 001; Minsu Kim 004; Seungjin Lee 001; Jinwook Oh; Sejong Oh; Hoi-Jun Yoo (IEEE Micro, 2009)

New role-based access control in ubiquitous e-business environment. - Sejong Oh (J. Intell. Manuf., 2010)

An attention controlled multi-core architecture for energy efficient object recognition. - Joo-Young Kim 001; Sejong Oh; Seungjin Lee 001; Minsu Kim 004; Jinwook Oh; Hoi-Jun Yoo (Signal Process. Image Commun., 2010)

A new dataset evaluation method based on category overlap. - Sejong Oh (Comput. Biol. Medicine, 2011)

Derivation of an artificial gene to improve classification accuracy upon gene selection. - Minseok Seo; Sejong Oh (Comput. Biol. Chem., 2012)

A novel divide-and-merge classification for high dimensional datasets. - Minseok Seo; Sejong Oh (Comput. Biol. Chem., 2013)

RFS: Efficient feature selection method based on R-value. - Jimin Lee; Nomin Batnyam; Sejong Oh (Comput. Biol. Medicine, 2013)

A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images. - Bunheang Tay; Jung Keun Hyun; Sejong Oh (Comput. Math. Methods Medicine, 2014)

Integrated Visualization Tool for Differentially Expressed Genes and Gene Ontology Analysis. - Somyung Oh; Jeonghyeon Ha; Kyungwon Lee; Sejong Oh (BCB, 2016)

Improving feature selection performance using pairwise pre-evaluation. - SongLu Li; Sejong Oh (BMC Bioinform., 2016)

Development of a library with feature selection algorithm based on microarray gene expression dataset for biomarker identification. - Sangbum Lee; Sejong Oh (Int. J. Data Min. Bioinform., 2016)

Improving classification accuracy based on class-space reduction. - Byungjoon Park; Sejong Oh (Int. J. Inf. Commun. Technol., 2016)

Injecting Subject Policy into Access Control for Strengthening the Protection of Personal Information. - Hyung-Jin Mun; Sejong Oh (Wirel. Pers. Commun., 2016)

Improved Measures of Redundancy and Relevance for mRMR Feature Selection. - Insik Jo; Sangbum Lee; Sejong Oh (Comput., 2019)

Optimizing Memory-Access Patterns for Deep Learning Accelerators. - Hongbin Zheng; Sejong Oh; Huiqing Wang; Preston Briggs; Jiading Gai; Animesh Jain; Yizhi Liu; Rich Heaton; Randy Huang; Yida Wang (CoRR, 2020)

Balanced training/test set sampling for proper evaluation of classification models. - Donghoon Kang; Sejong Oh (Intell. Data Anal., 2020)

mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications. - Dongkyu Lee; Hyeongyun Moon; Sejong Oh; Daejin Park (Sensors, 2020)

Robust Metabolic Syndrome Risk Index Based on Triangular Areal Similarity. - Hyunseok Shin; Simon Shim; Chang Charles Choo; Doosung Hwang; Yunmook Nah; Sejong Oh (BIBM, 2021)

Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models. - Jisu Kwon; Sejong Oh; Daejin Park (ISCAS, 2021)

Energy-Efficient FPGA Accelerator With Fidelity-Controllable Sliding-Region Signal Processing Unit for Abnormal ECG Diagnosis on IoT Edge Devices. - Dongkyu Lee; Seungmin Lee; Sejong Oh; Daejin Park (IEEE Access, 2021)

Work-in-Progress: Accuracy-Area Efficient Online Fault Detection for Robust Neural Network Software-Embedded Microcontrollers. - Juneseo Chang; Sejong Oh; Daejin Park (EMSOFT, 2022)

A Preliminary Result of Food Object Detection using Swin Transformer. - Daeil Jung; Simon Shim; Chang Charles Choo; Doosung Hwang; Yunmook Nah; Sejong Oh (ICCTA, 2022)

Analysis of Misclassified Cases in a Metabolic Syndrome Prediction Model: Explain misclassification of a prediction model. - Sejong Oh; Kyungmin Kim; Hyunseok Shin (ICCTA, 2022)

Prediction of Metabolic Syndrome based on Non-invasive Measurement Features for Chronic Disease Management. - Hyunseok Shin; Simon Shim; Chang Charles Choo; Doosung Hwang; Yunmook Nah; Sejong Oh (ICCTA, 2022)

Predictive case-based feature importance and interaction. - Sejong Oh (Inf. Sci., 2022)

Robust metabolic syndrome risk score based on triangular areal similarity. - Hyunseok Shin; Simon Shim; Sejong Oh (PeerJ Comput. Sci., 2024)

An effective heuristic for developing hybrid feature selection in high dimensional and low sample size datasets. - Hyunseok Shin; Sejong Oh (BMC Bioinform., 2024)

A method for explaining individual predictions in neural networks. - Sejong Oh (PeerJ Comput. Sci., 2025)