Novel dynamic diversity controlling EDA and its application to automated bilateral negotiation. - Jeonghwan Gwak; Kwang Mong Sim 001 (BIC-TA, 2010)

A robust real-coded genetic algorithm using an ensemble of crossover operators. - Jeonghwan Gwak; Moongu Jeon (GECCO (Companion), 2013)

A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDAs. - Jeonghwan Gwak; Kwang Mong Sim 001 (Appl. Intell., 2013)

An augmented EDA with dynamic diversity control and local neighborhood search for coevolution of optimal negotiation strategies. - Jeonghwan Gwak; Kwang Mong Sim 001 (Appl. Intell., 2013)

An efficient object detection algorithm for large-size images based on a hierarchical semantic grouping approach. - Hyunguk Choi; Jeonghwan Gwak; Hyeonseung Song; Hong-Gyoo Sohn (ICCAIS, 2014)

An improved kernel-induced possibilistic fuzzy c-means clustering algorithm based on dispersion control. - Jeonghwan Gwak; Moongu Jeon (ICCAIS, 2014)

Novel dynamic diversity controlling EAs for coevolving optimal negotiation strategies. - Jeonghwan Gwak; Kwang Mong Sim 001; Moongu Jeon (Inf. Sci., 2014)

A systematic framework for real-time online multi-object tracking. - Gyeong-Soo Noh; Jeonghwan Gwak; Moongu Jeon (ICCAIS, 2015)

Object recognition using depth information of a consumer depth camera. - Jie Sheng Tham; Yoong Choon Chang; Mohammad Faizal Ahmad Fauzi; Jeonghwan Gwak (ICCAIS, 2015)

An incremental learning approach for restricted boltzmann machines. - Jongmin Yu; Jeonghwan Gwak; Sejeong Lee; Moongu Jeon (ICCAIS, 2015)

Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method. - Hae-Rim Shin; Jeonghwan Gwak; Jongmin Yu; Moongu Jeon (ICCAIS, 2016)

Conditional marked point process-based crowd counting in sparsely and moderately crowded scenes. - Yongsang Yoon; Jeonghwan Gwak; Jong-In Song; Moongu Jeon (ICCAIS, 2016)

Gaussian-Poisson mixture model for anomaly detection of crowd behaviour. - Jongmin Yu; Jeonghwan Gwak; Moongu Jeon (ICCAIS, 2016)

Computational and Comparative Study on Multiple Kernel Learning Approaches for the Classification Problem of Alzheimer's Disease. - Ahlam Mallak; Jeonghwan Gwak; Jong-In Song; Sang-Woong Lee (ICTCC, 2016)

Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis. - Jongmin Yu; Jeonghwan Gwak; SeongJong Noh; Moongu Jeon (VISIGRAPP (3: VISAPP), 2016)

Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies. - Jeonghwan Gwak; Moongu Jeon; Witold Pedrycz (Soft Comput., 2016)

Complex wavelet transform-based approach for human action recognition in video. - Manish Khare; Jeonghwan Gwak; Moongu Jeon (ICCAIS, 2017)

Multi-object tracking through learning relational appearance features and motion patterns. - Jeonghwan Gwak (Comput. Vis. Image Underst., 2017)

Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras. - Jeonghwan Gwak; Geunpyo Park; Moongu Jeon (KSII Trans. Internet Inf. Syst., 2017)

Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications. - Ehwa Yang; Jeonghwan Gwak; Moongu Jeon (Multim. Tools Appl., 2017)

Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning. - Ehwa Yang; Jeonghwan Gwak; Moongu Jeon (Sensors, 2017)

A Multiresolution Approach for Content-Based Image Retrieval Using Wavelet Transform of Local Binary Pattern. - Manish Khare; Prashant K. Srivastava; Jeonghwan Gwak; Ashish Khare (ACIIDS (2), 2018)

Configuration of a min-cost flow network for data association in multi-object tracking. - Chanuk Lim; Jeonghwan Gwak; Moongu Jeon (Int. J. Comput. Vis. Robotics, 2018)

Utilizing Pretrained Deep Learning Models for Automated Pulmonary Tuberculosis Detection Using Chest Radiography. - Thi Kieu Khanh Ho; Jeonghwan Gwak; Om Prakash 001; Jong-In Song; Chang Min Park (ACIIDS (2), 2019)

Toward Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences From RNA A-to-I Editing Events. - Thi Kieu Khanh Ho; Jeonghwan Gwak (IEEE Access, 2019)

Discrimination of Mental Workload Levels From Multi-Channel fNIRS Using Deep Leaning-Based Approaches. - Thi Kieu Khanh Ho; Jeonghwan Gwak; Chang Min Park; Jong-In Song (IEEE Access, 2019)

Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images. - Jaeyong Kang; Jeonghwan Gwak (IEEE Access, 2019)

A framework for automatically constructing a dataset for training a vehicle detector. - Changyon Kim; Jeonghwan Gwak; Daeyoung Shim; Moongu Jeon (Int. J. Comput. Vis. Robotics, 2019)

A Review of Intelligent Self-Driving Vehicle Software Research. - Jeonghwan Gwak; Juho Jung; Ryumduck Oh; Manbok Park; Mukhammad Abdu Kayumbek Rakhimov; Junho Ahn (KSII Trans. Internet Inf. Syst., 2019)

KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation. - Jaeyong Kang; Jeonghwan Gwak (MediaEval, 2020)

Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-Ray Abnormalities. - Thi Kieu Khanh Ho; Jeonghwan Gwak (IEEE Access, 2020)

Corrections to "Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images". - Jaeyong Kang; Jeonghwan Gwak (IEEE Access, 2020)

OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association. - Kwangjin Yoon; Jeonghwan Gwak; Young-min Song; Young-Chul Yoon; Moongu Jeon (IEEE Access, 2020)

Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews. - Junho Ahn; Thi Kieu Khanh Ho; Jaeyong Kang; Jeonghwan Gwak (J. Medical Imaging Health Informatics, 2020)

An Effective Classification Methodology for Brain MRI Classification Based on Statistical Features, DWT and Blended ANN. - Muhammad Fayaz; Jawad Haider; Muhammad Bilal Qureshi; Muhammad Shuaib Qureshi; Shabana Habib; Jeonghwan Gwak (IEEE Access, 2021)

An Improved Alpha Beta Filter Using a Deep Extreme Learning Machine. - Junaid Khan; Muhammad Fayaz; Ayyaz Hussain; Shah Khalid; Wali Khan Mashwani; Jeonghwan Gwak (IEEE Access, 2021)

Investigation of Financial Track Records by Using Some Novel Concepts of Complex q-Rung Orthopair Fuzzy Information. - Abdul Nasir; Naeem Jan; Jeonghwan Gwak; Sami Ullah Khan (IEEE Access, 2021)

An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network. - Muhammad Fayaz; Nurlan Torokeldiev; Samat Turdumamatov; Muhammad Shuaib Qureshi; Muhammad Bilal Qureshi; Jeonghwan Gwak (Sensors, 2021)

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers. - Jaeyong Kang; Zahid Ullah; Jeonghwan Gwak (Sensors, 2021)

Tiny Asymmetric Feature Normalized Network for Person Re-Identification System. - Hoyeon Ahn; Yoojin Hong; Hyunguk Choi; Jeonghwan Gwak; Moongu Jeon (IEEE Access, 2022)

Drone Navigation Using Region and Edge Exploitation-Based Deep CNN. - Muhammad Arif Arshad; Saddam Hussain Khan; Suleman Qamar; Muhammad Waleed Khan; Iqbal Murtza; Jeonghwan Gwak; Asifullah Khan (IEEE Access, 2022)

Autonomous Drone Swarm Navigation and Multitarget Tracking With Island Policy-Based Optimization Framework. - Suleman Qamar; Saddam Hussain Khan; Muhammad Arif Arshad; Maryam Qamar; Jeonghwan Gwak; Asifullah Khan (IEEE Access, 2022)

Investigation of Blockchain Technology by Using the Innovative Concepts of Complex Pythagorean Fuzzy Soft Information. - Naeem Jan; Jeonghwan Gwak; Younghoon Jeon; Bushra Akram (Complex., 2022)

Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. - Jinhee Park; Sehyeon Jang; Jeonghwan Gwak; Byeong C. Kim; Jang Jae Lee; Kyu Yeong Choi; Kun Ho Lee; Sung Chan Jun; Gil-Jin Jang; Sangtae Ahn (Expert Syst. Appl., 2022)

A Predictive Analysis of Key Factors Defining the Successful International Trades in the Environment of Complex Cubic Fuzzy Information. - Naeem Jan; Rabia Maqsood; Abdul Nasir; Muhammad Arif; Jeonghwan Gwak (Int. J. Fuzzy Syst., 2022)

OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images. - Hyunsu Jeong; Hyunwook Kim; Jiwon Yoon; Kyungsup Go; Jeonghwan Gwak (Int. J. Imaging Syst. Technol., 2022)

Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation. - Zahid Ullah; Muhammad Usman 026; Moongu Jeon; Jeonghwan Gwak (Inf. Sci., 2022)

Abnormal event detection using adversarial predictive coding for motion and appearance. - Jongmin Yu; Jung-Gyun Kim; Jeonghwan Gwak; Byung-Geun Lee; Moongu Jeon (Inf. Sci., 2022)

Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification. - Jaeyong Kang; Jeonghwan Gwak (Multim. Tools Appl., 2022)

CB-HVT Net: A Channel-Boosted Hybrid Vision Transformer Network for Lymphocyte Detection in Histopathological Images. - Momina Liaqat Ali; Zunaira Rauf; Asifullah Khan; Anabia Sohail; Rafi Ullah Khalil; Jeonghwan Gwak (IEEE Access, 2023)

FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking. - Xufeng Hu; Younghoon Jeon; Jeonghwan Gwak (IEEE Access, 2023)

Ensemble CNNs for Breast Tumor Classification. - Muhammad Umar Farooq; Zahid Ullah; Jeonghwan Gwak (CoRR, 2023)

CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images. - Momina Liaqat Ali; Zunaira Rauf; Asifullah Khan; Anabia Sohail; Rafi Ullah Khalil; Jeonghwan Gwak (CoRR, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

A Recent Survey of Vision Transformers for Medical Image Segmentation. - Asifullah Khan; Zunaira Rauf; Abdul Rehman Khan; Saima Rathore; Saddam Hussain Khan; Najmus Sahar Shah; Umair Farooq; Hifsa Asif; Aqsa Asif; Umme Zahoora; Rafi Ullah Khalil; Suleman Qamar; et al. (CoRR, 2023)

Investigation of Robotics Technology Based on Bipolar Complex Intuitionistic Fuzzy Soft Relation. - Jeonghwan Gwak; Harish Garg; Naeem Jan (Int. J. Fuzzy Syst., 2023)

A novel extended Portuguese of Interactive and Multi-Criteria Decision Making and Archimedean Bonferroni mean operators based on prospect theory to select green supplier with complex q-rung orthopair fuzzy information. - Zeeshan Ali; Tahir Mahmood 002; Jeonghwan Gwak; Naeem Jan (CAAI Trans. Intell. Technol., 2023)

Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography. - Muhammad Umar Farooq; Zahid Ullah; Jeonghwan Gwak (Comput. Medical Imaging Graph., 2023)

Mathematical analysis of generative adversarial networks based on complex picture fuzzy soft information. - Naeem Jan; Jeonghwan Gwak; Dragan Pamucar (Appl. Soft Comput., 2023)

MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images. - Zahid Ullah; Muhammad Usman 026; Jeonghwan Gwak (Expert Syst. Appl., 2023)

Analysis of Networks and Digital Systems by Using the Novel Technique Based on Complex Fuzzy Soft Information. - Naeem Jan; Jeonghwan Gwak; Jiaming Pei; Rabia Maqsood; Abdul Nasir (IEEE Trans. Consumer Electron., 2023)

A robust hybrid decision making model for Human-Computer interaction in the environment of Bipolar complex picture fuzzy soft Sets. - Naeem Jan; Jeonghwan Gwak; Dragan Pamucar (Inf. Sci., 2023)

DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs. - Muhammad Umar Farooq; Zahid Ullah; Asifullah Khan; Jeonghwan Gwak (Comput. Biol. Medicine, 2023)

Hybrid integrated decision-making model for operating system based on complex intuitionistic fuzzy and soft information. - Naeem Jan; Jeonghwan Gwak; Dragan Pamucar; Luis Martínez 001 (Inf. Sci., 2023)

Mathematical analysis of big data analytics under bipolar complex fuzzy soft information. - Naeem Jan; Jeonghwan Gwak; Muhammet Deveci; Vladimir Simic; Jurgita Antucheviciene (Appl. Soft Comput., 2024)

Mathematical Investigation of Communication and Network Securities Under Interval-Valued Complex Spherical Fuzzy Information. - Naeem Jan; Jeonghwan Gwak; Shoukat Hussain; Abdul Nasir (Int. J. Fuzzy Syst., 2024)

An integrated complex T-spherical fuzzy set and soft set model for quantum computing and energy resource planning. - Naeem Jan; Jeonghwan Gwak; Dragan Pamucar; Hyoungku Kang (Inf. Sci., 2024)

Multi-teacher cross-modal distillation with cooperative deep supervision fusion learning for unimodal segmentation. - Saeed Ahmad; Zahid Ullah; Jeonghwan Gwak (Knowl. Based Syst., 2024)

Smart Insole-Based Classification of Alzheimer's Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning. - Younghoon Jeon; Jaeyong Kang; Byeong C. Kim; Kun Ho Lee; Jong-In Song; Jeonghwan Gwak (IEEE Trans. Consumer Electron., 2024)

RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media. - Zafran Khan; Jeonghwan Gwak; Naima Iltaf; Witold Pedrycz; Moongu Jeon (J. Big Data, 2024)

Long Range CCTV-Based Context-Aware Petroglyphs Surface Change Classification Using Dual Attention-Guided Pyramid Siamese Network. - Dohyung Kwon; Jeonghwan Gwak; Jeongmin Yu (IEEE Access, 2025)

Fuzzy ensemble-based federated learning for EEG-based emotion recognition in Internet of Medical Things. - Weiwei Jiang 003; Yang Zhang 118; Haoyu Han 002; Xiaozhu Liu; Jeonghwan Gwak; Weixi Gu; Achyut Shankar; Carsten Maple (J. Ind. Inf. Integr., 2025)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)