Similarity Search for Multidimensional Data Sequences. - Seok-Lyong Lee; Seok-Ju Chun; Deok-Hwan Kim; Ju-Hong Lee; Chin-Wan Chung (ICDE, 2000)

Distributed similarity search algorithm in distributed heterogeneous multimedia databases. - Ju-Hong Lee; Deok-Hwan Kim; Seok-Lyong Lee; Chin-Wan Chung; Guang-Ho Cha (Inf. Process. Lett., 2000)

Dynamic Update Cube for Range-sum Queries. - Seok-Ju Chun; Chin-Wan Chung; Ju-Hong Lee; Seok-Lyong Lee (VLDB, 2001)

On the effective clustering of multidimensional data sequences. - Seok-Lyong Lee; Chin-Wan Chung (Inf. Process. Lett., 2001)

Hyper-rectangle based segmentation and clustering of large video data sets. - Seok-Lyong Lee; Chin-Wan Chung (Inf. Sci., 2002)

Heterogeneous image database selection on the Web. - Deok-Hwan Kim; Seok-Lyong Lee; Chin-Wan Chung (J. Syst. Softw., 2002)

Effective Similarity Search Methods for Large Video Data Streams. - Seok-Lyong Lee; Seok-Ju Chun; Ju-Hong Lee (International Conference on Computational Science, 2003)

Approximate Aggregate Queries with Guaranteed Error Bounds. - Seok-Ju Chun; Ju-Hong Lee; Seok-Lyong Lee (RSFDGrC, 2003)

Corporate strategies, environmental forces, and performance measures: a weighting decision support system using the k-nearest neighbor technique. - Myung Ho Sohn; Taewoo You; Seok-Lyong Lee; Heeseok Lee (Expert Syst. Appl., 2003)

Space-efficient cubes for OLAP range-sum queries. - Seok-Ju Chun; Chin-Wan Chung; Seok-Lyong Lee (Decis. Support Syst., 2004)

On the Effective Similarity Measures for the Similarity-Based Pattern Retrieval in Multidimensional Sequence Databases. - Seok-Lyong Lee; Ju-Hong Lee; Seok-Ju Chun (FSKD (2), 2005)

An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube. - Seok-Lyong Lee (DaWaK, 2006)

Relevance Feedback Using Adaptive Clustering for Region Based Image Similarity Retrieval. - Deok-Hwan Kim; Seok-Lyong Lee (PRICAI, 2006)

Online aggregation with tight error bounds in dynamic environments. - Seok-Ju Chun; Ju-Hong Lee; Seok-Lyong Lee (Inf. Softw. Technol., 2006)

Effective Pattern Similarity Match for Multidimensional Sequence Data Sets. - Seok-Lyong Lee; Deok-Hwan Kim (International Conference on Computational Science (1), 2007)

An effective defect inspection system for polarized film images using image segmentation and template matching techniques. - Young-Geun Yoon; Seok-Lyong Lee; Chin-Wan Chung; Sang-Hee Kim (Comput. Ind. Eng., 2008)

Confidence interval approach to feature re-weighting. - Robert S. Lee; Chin-Wan Chung; Seok-Lyong Lee; Sang-Hee Kim (Multim. Tools Appl., 2008)

Effective defect classification for flat display panel film images. - Chung-Ho Noh; Seok-Lyong Lee; Deok-Hwan Kim; Chin-Wan Chung (ICHIT, 2009)

Texture feature extraction based on a uniformity estimation method for local brightness and structure in chest CT images. - Shao-Hu Peng; Deok-Hwan Kim; Seok-Lyong Lee; Myung-Kwan Lim (Comput. Biol. Medicine, 2010)

A visual shape descriptor using sectors and shape context of contour lines. - Shao-Hu Peng; Deok-Hwan Kim; Seok-Lyong Lee; Chin-Wan Chung (Inf. Sci., 2010)

Rotation invariant texture feature extraction based on Sorted Neighborhood Differences. - Khairul Muzzammil Saipullah; Deok-Hwan Kim; Seok-Lyong Lee (ICME, 2011)

Distance approximation techniques to reduce the dimensionality for multimedia databases. - Yongkwon Kim; Chin-Wan Chung; Seok-Lyong Lee; Deok-Hwan Kim (Knowl. Inf. Syst., 2011)

Automatic evaluation of cardiac hypertrophy using cardiothoracic area ratio in chest radiograph images. - Muhammad A. Hasan; Seok-Lyong Lee; Deok-Hwan Kim; Myung-Kwan Lim (Comput. Methods Programs Biomed., 2012)

Multiple object tracking with partial occlusion handling using salient feature points. - M. M. Naushad Ali; Mohammad Abdullah-Al-Wadud; Seok-Lyong Lee (Inf. Sci., 2014)

Hierarchical classification method based on selective learning of slacked hierarchy for activity recognition systems. - Sunder Ali Khowaja; Bernardo Nugroho Yahya; Seok-Lyong Lee (Expert Syst. Appl., 2017)

A Framework for Real Time Emotion Recognition Based on Human ANS Using Pervasive Device. - Feri Setiawan; Sunder Ali Khowaja; Aria Ghora Prabono; Bernardo Nugroho Yahya; Seok-Lyong Lee (COMPSAC (1), 2018)

Contextual activity based Healthcare Internet of Things, Services, and People (HIoTSP): An architectural framework for healthcare monitoring using wearable sensors. - Sunder Ali Khowaja; Aria Ghora Prabono; Feri Setiawan; Bernardo Nugroho Yahya; Seok-Lyong Lee (Comput. Networks, 2018)

Context-based similarity measure on human behavior pattern analysis. - Aria Ghora Prabono; Seok-Lyong Lee; Bernardo Nugroho Yahya (Soft Comput., 2019)

CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments. - Sunder Ali Khowaja; Bernardo Nugroho Yahya; Seok-Lyong Lee (Hum. centric Comput. Inf. Sci., 2020)

Fine-grained emotion recognition: fusion of physiological signals and facial expressions on spontaneous emotion corpus. - Feri Setiawan; Aria Ghora Prabono; Sunder Ali Khowaja; Wangsoo Kim; Kyoungsoo Park; Bernardo Nugroho Yahya; Seok-Lyong Lee; Jin Pyo Hong (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Semantic Image Networks for Human Action Recognition. - Sunder Ali Khowaja; Seok-Lyong Lee (Int. J. Comput. Vis., 2020)

Hybrid and hierarchical fusion networks: a deep cross-modal learning architecture for action recognition. - Sunder Ali Khowaja; Seok-Lyong Lee (Neural Comput. Appl., 2020)

A Multi-case Perspective Analytical Framework for Discovering Human Daily Behavior from Sensors using Process Mining. - Frans Prathama; Bernardo Nugroho Yahya; Seok-Lyong Lee (COMPSAC, 2021)

Hybrid domain adaptation with deep network architecture for end-to-end cross-domain human activity recognition. - Aria Ghora Prabono; Bernardo Nugroho Yahya; Seok-Lyong Lee (Comput. Ind. Eng., 2021)

Atypical Sample Regularizer Autoencoder for Cross-Domain Human Activity Recognition. - Aria Ghora Prabono; Bernardo Nugroho Yahya; Seok-Lyong Lee (Inf. Syst. Frontiers, 2021)

Hybrid domain adaptation for sensor-based human activity recognition in a heterogeneous setup with feature commonalities. - Aria Ghora Prabono; Bernardo Nugroho Yahya; Seok-Lyong Lee (Pattern Anal. Appl., 2021)

Toward soft real-time stress detection using wrist-worn devices for human workspaces. - Sunder Ali Khowaja; Aria Ghora Prabono; Feri Setiawan; Bernardo Nugroho Yahya; Seok-Lyong Lee (Soft Comput., 2021)

Cascaded and Recursive ConvNets (CRCNN): An effective and flexible approach for image denoising. - Sunder Ali Khowaja; Bernardo Nugroho Yahya; Seok-Lyong Lee (Signal Process. Image Commun., 2021)

A Framework for Privacy-Preserved Collaborative Learning in Smart Factory Environment. - Ericka Pamela Bermudez Pillado; Tori Bukit; Sean Yonathan Tanjung; Hyun-Woo Lim; Ignatius Iwan; Bernardo Nugroho Yahya; Seok-Lyong Lee (ICHI, 2022)

Sequential inter-hop graph convolution neural network (SIhGCN) for skeleton-based human action recognition. - Feri Setiawan; Bernardo Nugroho Yahya; Seok-Ju Chun; Seok-Lyong Lee (Expert Syst. Appl., 2022)

Multiple-instance domain adaptation for cost-effective sensor-based human activity recognition. - Aria Ghora Prabono; Bernardo Nugroho Yahya; Seok-Lyong Lee (Future Gener. Comput. Syst., 2022)

Skeleton-based human action recognition with sequential convolutional-LSTM networks and fusion strategies. - Sunder Ali Khowaja; Seok-Lyong Lee (J. Ambient Intell. Humaniz. Comput., 2022)

Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task. - Wenny Franciska Senjaya; Bernardo Nugroho Yahya; Seok-Lyong Lee (Sensors, 2022)

Federated Topology Preserving Domain Adaptation for Human Activity Recognition. - Tori Bukit; Ericka Pamela Bermudez Pillado; Seok-Lyong Lee; Bernardo Nugroho Yahya (SIU, 2023)

Fed-SIc: Selecting Important Clients for Federated Learning. - Hyun Woo Lim; Sean Yonathan Tanjung; Ignatius Iwan; Bernardo Nugroho Yahya; Seok-Lyong Lee (SIU, 2023)

Ergonomic risk level prediction framework for multiclass imbalanced data. - Wenny Franciska Senjaya; Bernardo Nugroho Yahya; Seok-Lyong Lee (Comput. Ind. Eng., 2023)

Normalized Attention Inter-Channel Pooling (NAIP) for Deep Convolutional Neural Network Regularization. - Feri Setiawan; Bernardo Nugroho Yahya; Seok-Lyong Lee (Neural Process. Lett., 2023)

LiCAFeL-STC: A Lightweight Cluster-Based Federated Learning Framework for Sensor-Based Human Activity Recognition Using Unlabeled Data in Heterogeneous Wearable Devices. - Tori Bukit; Bernardo Nugroho Yahya; Seok-Lyong Lee (COMPSAC, 2024)

Federated Learning Framework for Collaborative Time Series Anomaly Detection on Distributed Machines. - Ignatius Iwan; Tori Bukit; Bernardo Nugroho Yahya; Seok-Lyong Lee (COMPSAC, 2024)

Activity transitions for semi-supervised federated learning in sensor-based human activity recognition. - Tori Bukit; Ericka Pamela Bermudez Pillado; Bernardo Nugroho Yahya; Seok-Lyong Lee (Appl. Soft Comput., 2025)

FedCLLM: Federated client selection assisted large language model utilizing domain description. - Ignatius Iwan; Sean Yonathan Tanjung; Bernardo Nugroho Yahya; Seok-Lyong Lee (Internet Things, 2025)

Federated model with contrastive learning and adaptive control variates for human activity recognition. - Ignatius Iwan; Bernardo Nugroho Yahya; Seok-Lyong Lee (Frontiers Inf. Technol. Electron. Eng., 2025)