Sung-Bae Cho

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 165

Top Venues

Publications

Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data. SN Comput. Sci. 5 (5) (2024)
Robin Inho Kee, Dahyun Nam, Seok-Jun Bu, Sung-Bae Cho
Disentangled Prototypical Convolutional Network for Few-Shot Learning in In-Vehicle Noise Classification. IEEE Access 12 (2024)
Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR (2024)
Ishita Agarwal, Aanchal Singh, Aran Agarwal, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Manas Ranjan Prusty, Sachi Nandan Mohanty
Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning. IEEE Access 12 (2024)
Gye-Bong Jang, Sung-Bae Cho
Multi-Instance Attention Network for Anomaly Detection from Multivariate Time Series. Cybern. Syst. 55 (6) (2024)
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR (2024)
Hyung-Jun Moon, Sung-Bae Cho
Contrastive Learning of Multivariate Gaussian Distributions of Incremental Classes for Continual Learning. IWINAC (2024)
Hyung-Jun Moon, Sung-Bae Cho
Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game. CEC (2024)
Hyung-Jun Moon, Sung-Bae Cho
Exploiting Local Information with Subgraph Embedding for Graph Neural Networks. ICDM (Workshops) (2023)
Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, Sung-Bae Cho
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting. IEEE Access 11 (2023)
Seok-Jun Bu, Sung-Bae Cho
Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet Sampling. CISIS-ICEUTE (2023)
Kyoung-Won Park, Sung-Bae Cho
A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images. Appl. Soft Comput. 142 (2023)
Jin-Young Kim, Sung-Bae Cho
Predicting Residential Energy Consumption by Explainable Deep Learning with Long-Term and Short-Term Latent Variables. Cybern. Syst. 54 (3) (2023)
Jaeil Park, Sung-Bae Cho
Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection. ECAI (2023)
Seok-Jun Bu, Sung-Bae Cho
Triplet-trained graph transformer with control flow graph for few-shot malware classification. Inf. Sci. 649 (2023)
Seok-Jun Bu, Sung-Bae Cho
Malware classification with disentangled representation learning of evolutionary triplet network. Neurocomputing 552 (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR (2023)
Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR (2023)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons. Neurocomputing 530 (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
GREAD: Graph Neural Reaction-Diffusion Networks. ICML (2023)
Hyung-Jun Moon, Sung-Bae Cho
A Subgraph Embedded GIN with Attention for Graph Classification. IDEAL (2023)
Seok-Jun Bu, Sung-Bae Cho
A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand. HAIS (2023)
Álvaro Herrero, Emilio Corchado, Michal Wozniak, Sung-Bae Cho, Slobodan Petrovic
Cybersecurity applications of computational intelligence. Neural Comput. Appl. 34 (23) (2022)
Gye-Bong Jang, Sung-Bae Cho
Cross-Domain Adaptation Using Domain Interpolation for Rotating Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 71 (2022)
Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho
Prediction of exchange rate using improved particle swarm optimised radial basis function networks. Int. J. Adv. Intell. Paradigms 23 (3/4) (2022)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Perturbation-Recovery Method for Recommendation. CoRR (2022)
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
Insider attack detection in database with deep metric neural network with Monte Carlo sampling. Log. J. IGPL 30 (6) (2022)
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. CoRR (2022)
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model. IEEE Access 10 (2022)
Jin-Young Kim, Sung-Bae Cho
Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features. Comput. Secur. 112 (2022)
Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho
Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification. HAIS (2022)
Jin-Young Kim, Sung-Bae Cho
A deep neural network ensemble of multimodal signals for classifying excavator operations. Neurocomputing 470 (2022)
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. Big Data (2022)
Tae-Heon Kim, Hyung-Jun Moon, Sung-Bae Cho
Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning. IDEAL (2022)
Jin-Young Kim, Sung-Bae Cho
An information theoretic approach to reducing algorithmic bias for machine learning. Neurocomputing 500 (2022)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
GREAD: Graph Neural Reaction-Diffusion Equations. CoRR (2022)
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy. OCIT (2022)
Kyoung-Won Park, Sung-Bae Cho
A Vision Transformer Enhanced with Patch Encoding for Malware Classification. IDEAL (2022)
Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho
Towards effective detection of elderly falls with CNN-LSTM neural networks. Neurocomputing 500 (2022)
Jaeil Park, Seok-Jun Bu, Sung-Bae Cho
A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences. HAIS (2022)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network. SOCO (2021)
Gye-Bong Jang, Sung-Bae Cho
Anomaly Detection for Health Monitoring of Heavy Equipment Using Hierarchical Prediction with Correlative Feature Learning. SOCO (2021)
Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho
Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection. HAIS (2021)
Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images. IDEAL (2021)
Gye-Bong Jang, Jin-Young Kim, Sung-Bae Cho
Cross-Domain Fault Diagnosis of Rotating Machinery Using Discriminative Feature Attention Network. IEEE Access 9 (2021)
Seok-Jun Bu, Sung-Bae Cho
Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection. ICASSP (2021)
Gye-Bong Jang, Sung-Bae Cho
Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions. Sensors 21 (4) (2021)
Seok-Jun Bu, Hyung-Jun Moon, Sung-Bae Cho
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles. BigComp (2021)
Tae-Young Kim, Sung-Bae Cho
Optimizing CNN-LSTM neural networks with PSO for anomalous query access control. Neurocomputing 456 (2021)
Jin-Young Kim, Sung-Bae Cho
Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile. Neurocomputing 452 (2021)
Jin-Young Kim, Sung-Bae Cho
A systematic analysis and guidelines of graph neural networks for practical applications. Expert Syst. Appl. 184 (2021)
Antonio J. Tallón-Ballesteros, Sung-Bae Cho
Extracting salient information from discarded features via attribute selection and pruning. Appl. Soft Comput. 101 (2021)
Parimal Kumar Giri, Sagar S. De, Sachidananda Dehuri, Sung-Bae Cho
Biogeography based optimization for mining rules to assess credit risk. Intell. Syst. Account. Finance Manag. 28 (1) (2021)
Jin-Young Kim, Sung-Bae Cho
Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space. Expert Syst. Appl. 186 (2021)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification. IDEAL (2021)
Kyung-Joong Kim, Sung-Bae Cho
Inference of Other's Minds with Limited Information in Evolutionary Robotics. Int. J. Soc. Robotics 13 (4) (2021)
Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis. J. King Saud Univ. Comput. Inf. Sci. 32 (9) (2020)
Bhabani Shankar Prasad Mishra, Om Pandey, Satchidananda Dehuri, Sung-Bae Cho
Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis. IEEE Access 8 (2020)
Jin-Young Kim, Sung-Bae Cho
Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption. SOCO (2020)
Jin-Young Kim, Sung-Bae Cho
Electric Energy Demand Forecasting with Explainable Time-series Modeling. ICDM (Workshops) (2020)
Jin-Young Kim, Sung-Bae Cho
Fair Representation for Safe Artificial Intelligence via Adversarial Learning of Unbiased Information Bottleneck. SafeAI@AAAI (2020)
Seul-Gi Choi, Sung-Bae Cho
Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions. Log. J. IGPL 28 (4) (2020)
Partha Pratim Sarangi, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Sung-Bae Cho
An evaluation of ear biometric system based on enhanced Jaya algorithm and SURF descriptors. Evol. Intell. 13 (3) (2020)
Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho
3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance. Int. J. Neural Syst. 30 (6) (2020)
Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho
Research contributions published on betweenness centrality algorithm: modelling to analysis in the context of social networking. Int. J. Soc. Netw. Min. 3 (1) (2020)
Seok-Jun Bu, Namu Park, Gue-Hwan Nam, Jae-Yong Seo, Sung-Bae Cho
A Monte Carlo Search-Based Triplet Sampling Method for Learning Disentangled Representation of Impulsive Noise on Steering Gear. ICASSP (2020)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network. ICDM (Workshops) (2020)
Seul-Gi Choi, Sung-Bae Cho
Bayesian networks + reinforcement learning: Controlling group emotion from sensory stimuli. Neurocomputing 391 (2020)
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects. IDEAL (2) (2020)
Seok-Jun Bu, Sung-Bae Cho
A convolutional neural-based learning classifier system for detecting database intrusion via insider attack. Inf. Sci. 512 (2020)
Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho
Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation. HAIS (2020)
Seok-Jun Bu, Sung-Bae Cho
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network. IDEAL (2) (2020)
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
Detecting Intrusion via Insider Attack in Database Transactions by Learning Disentangled Representation with Deep Metric Neural Network. CISIS (2020)
Esteban Jove, Patricia Blanco-Rodríguez, José Luís Casteleiro-Roca, Héctor Quintián, Francisco Javier Moreno Arboleda, José Antonio López-Vázquez, Benigno Antonio Rodríguez-Gómez, María del Carmen Meizoso-López, Andrés José Piñón Pazos, Francisco Javier de Cos Juez, Sung-Bae Cho, José Luís Calvo-Rolle
Missing data imputation over academic records of electrical engineering students. Log. J. IGPL 28 (4) (2020)
Jin-Young Kim, Kyunghyun Lim, Sung-Bae Cho
Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data. IEEE BigData (2019)
Jin-Young Kim, Sung-Bae Cho
Evolutionary Optimization of Hyperparameters in Deep Learning Models. CEC (2019)
Wonsup Shin, Sung-Bae Cho
Cycle-Consistent InfoGAN for Speech Enhancement in Various Background Noises. SITIS (2019)
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. Int. J. Artif. Intell. Tools 28 (3) (2019)
Jin-Young Kim, Sung-Bae Cho
Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models. SOCO (2019)
Tae-Young Kim, Sung-Bae Cho
Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption. CEC (2019)
Ji-Yoon Kim, Sung-Bae Cho
Exploiting deep convolutional neural networks for a neural-based learning classifier system. Neurocomputing 354 (2019)
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass. IDEAL (1) (2019)
Aleum Kim, Sung-Bae Cho
An ensemble semi-supervised learning method for predicting defaults in social lending. Eng. Appl. Artif. Intell. 81 (2019)
Jin-Young Kim, Sung-Bae Cho
Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data. IDEAL (1) (2019)
Jin-Young Kim, Sung-Bae Cho
Unsupervised Novelty Detection in Video with Adversarial Autoencoder Based on Non-Euclidean Space. SITIS (2019)
Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning. CoRR (2019)
Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho
Non-stationary Noise Cancellation Using Deep Autoencoder Based on Adversarial Learning. IDEAL (1) (2019)
Sung-Bae Cho, Jae-Min Yu
Hierarchical modular Bayesian networks for low-power context-aware smartphone. Neurocomputing (2019)
Kee-Hoon Kim, Sung-Bae Cho
An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms. Appl. Soft Comput. 83 (2019)
Seok-Jun Bu, Sung-Bae Cho
Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack. HAIS (2019)
Sang-Muk Jo, Sung-Bae Cho
A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster. Neurocomputing 353 (2019)
Ji-Yoon Kim, Sung-Bae Cho
Predicting repayment of borrows in peer-to-peer social lending with deep dense convolutional network. Expert Syst. J. Knowl. Eng. 36 (4) (2019)
Tae-Young Kim, Sung-Bae Cho
CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model. ICONIP (4) (2019)
Seok-Jun Bu, Sung-Bae Cho
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks. IEEE BigData (2019)
Wonsup Shin, Tae-Young Kim, Sung-Bae Cho
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network. CoRR (2019)
Tae-Young Kim, Sung-Bae Cho
Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model. HAIS (2019)
Ggyebong Jang, Sung-Bae Cho
Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm. CEC (2019)
Seok-Jun Bu, Sung-Bae Cho
A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments. HAIS (2018)
Wonsup Shin, Sung-Bae Cho
CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network. IDEAL (1) (2018)
Ji-Yoon Kim, Sung-Bae Cho
Deep Dense Convolutional Networks for Repayment Prediction in Peer-to-Peer Lending. SOCO-CISIS-ICEUTE (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sung-Bae Cho