Jeonghwan Gwak

Orcid: 0000-0002-6237-0141

Affiliations:
  • Seoul National University Hospital, Seoul, Korea


According to our database1, Jeonghwan Gwak authored at least 67 papers between 2010 and 2024.

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Bibliography

2024
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media.
J. Big Data, December, 2024

An integrated complex T-spherical fuzzy set and soft set model for quantum computing and energy resource planning.
Inf. Sci., 2024

Mathematical Investigation of Communication and Network Securities Under Interval-Valued Complex Spherical Fuzzy Information.
Int. J. Fuzzy Syst., 2024

2023
Hybrid integrated decision-making model for operating system based on complex intuitionistic fuzzy and soft information.
Inf. Sci., December, 2023

DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs.
Comput. Biol. Medicine, December, 2023

A robust hybrid decision making model for Human-Computer interaction in the environment of Bipolar complex picture fuzzy soft Sets.
Inf. Sci., October, 2023

Analysis of Networks and Digital Systems by Using the Novel Technique Based on Complex Fuzzy Soft Information.
IEEE Trans. Consumer Electron., May, 2023

MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images.
Expert Syst. Appl., April, 2023

Mathematical analysis of generative adversarial networks based on complex picture fuzzy soft information.
Appl. Soft Comput., April, 2023

Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography.
Comput. Medical Imaging Graph., March, 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.
CAAI Trans. Intell. Technol., March, 2023

Investigation of Robotics Technology Based on Bipolar Complex Intuitionistic Fuzzy Soft Relation.
Int. J. Fuzzy Syst., 2023

A Recent Survey of Vision Transformers for Medical Image Segmentation.
CoRR, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images.
CoRR, 2023

Ensemble CNNs for Breast Tumor Classification.
CoRR, 2023

FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking.
IEEE Access, 2023

CB-HVT Net: A Channel-Boosted Hybrid Vision Transformer Network for Lymphocyte Detection in Histopathological Images.
IEEE Access, 2023

2022
Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification.
Multim. Tools Appl., 2022

Abnormal event detection using adversarial predictive coding for motion and appearance.
Inf. Sci., 2022

Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation.
Inf. Sci., 2022

OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images.
Int. J. Imaging Syst. Technol., 2022

A Predictive Analysis of Key Factors Defining the Successful International Trades in the Environment of Complex Cubic Fuzzy Information.
Int. J. Fuzzy Syst., 2022

Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks.
Expert Syst. Appl., 2022

Investigation of Blockchain Technology by Using the Innovative Concepts of Complex Pythagorean Fuzzy Soft Information.
Complex., 2022

Autonomous Drone Swarm Navigation and Multitarget Tracking With Island Policy-Based Optimization Framework.
IEEE Access, 2022

Drone Navigation Using Region and Edge Exploitation-Based Deep CNN.
IEEE Access, 2022

Tiny Asymmetric Feature Normalized Network for Person Re-Identification System.
IEEE Access, 2022

2021
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.
Sensors, 2021

An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network.
Sensors, 2021

Investigation of Financial Track Records by Using Some Novel Concepts of Complex q-Rung Orthopair Fuzzy Information.
IEEE Access, 2021

An Improved Alpha Beta Filter Using a Deep Extreme Learning Machine.
IEEE Access, 2021

An Effective Classification Methodology for Brain MRI Classification Based on Statistical Features, DWT and Blended ANN.
IEEE Access, 2021

2020
Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews.
J. Medical Imaging Health Informatics, 2020

OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association.
IEEE Access, 2020

Corrections to "Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images".
IEEE Access, 2020

Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-Ray Abnormalities.
IEEE Access, 2020

KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019
A Review of Intelligent Self-Driving Vehicle Software Research.
KSII Trans. Internet Inf. Syst., 2019

A framework for automatically constructing a dataset for training a vehicle detector.
Int. J. Comput. Vis. Robotics, 2019

Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images.
IEEE Access, 2019

Discrimination of Mental Workload Levels From Multi-Channel fNIRS Using Deep Leaning-Based Approaches.
IEEE Access, 2019

Toward Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences From RNA A-to-I Editing Events.
IEEE Access, 2019

Utilizing Pretrained Deep Learning Models for Automated Pulmonary Tuberculosis Detection Using Chest Radiography.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Configuration of a min-cost flow network for data association in multi-object tracking.
Int. J. Comput. Vis. Robotics, 2018

A Multiresolution Approach for Content-Based Image Retrieval Using Wavelet Transform of Local Binary Pattern.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning.
Sensors, 2017

Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications.
Multim. Tools Appl., 2017

Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras.
KSII Trans. Internet Inf. Syst., 2017

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

Complex wavelet transform-based approach for human action recognition in video.
Proceedings of the International Conference on Control, 2017

2016
Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies.
Soft Comput., 2016

Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Computational and Comparative Study on Multiple Kernel Learning Approaches for the Classification Problem of Alzheimer's Disease.
Proceedings of the Nature of Computation and Communication, 2016

Gaussian-Poisson mixture model for anomaly detection of crowd behaviour.
Proceedings of the 2016 International Conference on Control, 2016

Conditional marked point process-based crowd counting in sparsely and moderately crowded scenes.
Proceedings of the 2016 International Conference on Control, 2016

Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method.
Proceedings of the 2016 International Conference on Control, 2016

2015
An incremental learning approach for restricted boltzmann machines.
Proceedings of the 2015 International Conference on Control, 2015

Object recognition using depth information of a consumer depth camera.
Proceedings of the 2015 International Conference on Control, 2015

A systematic framework for real-time online multi-object tracking.
Proceedings of the 2015 International Conference on Control, 2015

2014
Novel dynamic diversity controlling EAs for coevolving optimal negotiation strategies.
Inf. Sci., 2014

An improved kernel-induced possibilistic fuzzy c-means clustering algorithm based on dispersion control.
Proceedings of the International Conference on Control, 2014

An efficient object detection algorithm for large-size images based on a hierarchical semantic grouping approach.
Proceedings of the International Conference on Control, 2014

2013
An augmented EDA with dynamic diversity control and local neighborhood search for coevolution of optimal negotiation strategies.
Appl. Intell., 2013

A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDAs.
Appl. Intell., 2013

A robust real-coded genetic algorithm using an ensemble of crossover operators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2010
Novel dynamic diversity controlling EDA and its application to automated bilateral negotiation.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010


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