Find Research Outputs

Search concepts
Selected filters
2020

A convolutional neural-based learning classifier system for detecting database intrusion via insider attack

Bu, S. J. & Cho, S. B., 2020 Feb, In : Information sciences. 512, p. 123-136 14 p.

Research output: Contribution to journalArticle

Learning Classifier Systems
Rule Generation
Role-based Access Control
Classifiers
Attack

Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models

Kim, J. Y. & Cho, S. B., 2020 Jan 1, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019, Proceedings. Quintián, H., Sáez Muñoz, J. A., Corchado, E., Martínez Álvarez, F. & Troncoso Lora, A. (eds.). Springer Verlag, p. 25-34 10 p. (Advances in Intelligent Systems and Computing; vol. 950).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Excavators
Fusion reactions
Health
Sensors
Feature extraction
2019
1 Citation (Scopus)
Solar system
Bayesian networks
Sun
Orbits
Image processing
4 Citations (Scopus)

An ensemble semi-supervised learning method for predicting defaults in social lending

Kim, A. & Cho, S-B., 2019 May 1, In : Engineering Applications of Artificial Intelligence. 81, p. 193-199 7 p.

Research output: Contribution to journalArticle

Supervised learning
Labeling
Support vector machines
Labels
Fusion reactions

An evaluation of ear biometric system based on enhanced Jaya algorithm and SURF descriptors

Sarangi, P. P., Mishra, B. S. P., Dehuri, S. & Cho, S. B., 2019 Jan 1, (Accepted/In press) In : Evolutionary Intelligence.

Research output: Contribution to journalArticle

Local Features
Biometrics
Metaheuristics
Descriptors
Ear

An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset

Dash, C. S. K., Behera, A. K., Nayak, S. C., Dehuri, S. & Cho, S. B., 2019 May 1, In : International Journal on Artificial Intelligence Tools. 28, 3, 1950013.

Research output: Contribution to journalArticle

Chemical reactions
Classifiers
Neural networks
1 Citation (Scopus)

A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster

Jo, S. M. & Cho, S. B., 2019 Aug 11, In : Neurocomputing. 353, p. 17-27 11 p.

Research output: Contribution to journalArticle

Smartphones
Graphical user interfaces
Posture
Hand
Clustering algorithms

A review and empirical analysis of neural networks based exchange rate prediction

Pandey, T. N., Jagadev, A. K., Dehuri, S. & Cho, S-B., 2019 Jan 1, In : Intelligent Decision Technologies. 12, 4, p. 423-439 17 p.

Research output: Contribution to journalReview article

Neural networks
Multilayer neural networks
Time series
Backpropagation
Learning systems
Open Access
Teaching
Classifiers
Neural networks
Labels
3 Citations (Scopus)

Deep Dense Convolutional Networks for Repayment Prediction in Peer-to-Peer Lending

Kim, J. Y. & Cho, S-B., 2019 Jan 1, International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, Proceedings. Saez, J. A., Corchado, E., Herrero, A., Grana, M., Lopez-Guede, J. M., Etxaniz, O. & Quintian, H. (eds.). Springer Verlag, p. 134-144 11 p. (Advances in Intelligent Systems and Computing; vol. 771).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Convolution
Learning systems
7 Citations (Scopus)

Electric energy consumption prediction by deep learning with state explainable autoencoder

Kim, J. Y. & Cho, S. B., 2019 Feb 22, In : Energies. 12, 4, 739.

Research output: Contribution to journalArticle

Open Access
Energy Consumption
Energy utilization
Prediction
Energy
Energy Management
1 Citation (Scopus)

Evolutionary Optimization of Hyperparameters in Deep Learning Models

Kim, J. Y. & Cho, S. B., 2019 Jun, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 831-837 7 p. 8790354. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hyperparameters
Evolutionary Optimization
Activation Function
Chemical activation
Optimization Techniques

Exploiting deep convolutional neural networks for a neural-based learning classifier system

Kim, J. Y. & Cho, S. B., 2019 Aug 18, In : Neurocomputing. 354, p. 61-70 10 p.

Research output: Contribution to journalArticle

Classifiers
Learning
Neural networks
Neural Networks (Computer)
Intrusion detection

Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack

Bu, S. J. & Cho, S. B., 2019 Jan 1, Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, Proceedings. Pérez García, H., Sánchez González, L., Castejón Limas, M., Quintián Pardo, H. & Corchado Rodríguez, E. (eds.). Springer Verlag, p. 145-156 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11734 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ensemble Learning
Genetic algorithms
Attack
Genetic Algorithm
Transactions
3 Citations (Scopus)

Hierarchical modular Bayesian networks for low-power context-aware smartphone

Cho, S-B. & Yu, J. M., 2019 Jan 31, In : Neurocomputing. 326-327, p. 100-109 10 p.

Research output: Contribution to journalArticle

Smartphones
Bayesian networks
Equipment and Supplies
Sensors
Hybrid systems

Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm

Jang, G. & Cho, S. B., 2019 Jun, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1953-1959 7 p. 8790011. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Excavators
Optimal Trajectory
Chromosomes
Genetic algorithms
Trajectories

Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model

Kim, T. Y. & Cho, S. B., 2019 Jan 1, Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, Proceedings. Pérez García, H., Sánchez González, L., Castejón Limas, M., Quintián Pardo, H. & Corchado Rodríguez, E. (eds.). Springer Verlag, p. 123-132 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11734 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Role-based Access Control
Access Control
Access control
Particle swarm optimization (PSO)
Anomalous
1 Citation (Scopus)

Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption

Kim, T. Y. & Cho, S. B., 2019 Jun, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1510-1516 7 p. 8789968. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Particle swarm optimization (PSO)
Particle Swarm Optimization
Energy Consumption
Forecasting
Energy utilization
2 Citations (Scopus)

Predicting repayment of borrows in peer-to-peer social lending with deep dense convolutional network

Kim, J. Y. & Cho, S. B., 2019 Jan 1, In : Expert Systems. 36, 4, e12403.

Research output: Contribution to journalArticle

Peer to Peer
Semantics
Neural networks
Predict
Extractor
9 Citations (Scopus)

Predicting residential energy consumption using CNN-LSTM neural networks

Kim, T. Y. & Cho, S. B., 2019 Sep 1, In : Energy. 182, p. 72-81 10 p.

Research output: Contribution to journalArticle

Energy utilization
Neural networks
Electric power utilization
Network layers
Long short-term memory

Towards repayment prediction in Peer-to-Peer social lending using deep learning

Kim, J. Y. & Cho, S. B., 2019 Nov 1, In : Mathematics. 7, 11, 1041.

Research output: Contribution to journalArticle

Open Access
Peer to Peer
Neural Networks
Prediction
Credit Risk
Extractor
2018

Adaptive database intrusion detection using evolutionary reinforcement learning

Choi, S. G. & Cho, S. B., 2018 Jan 1, International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings. Perez Garcia, H., Alfonso-Cendon, J., Sanchez Gonzalez, L., Corchado, E. & Quintian, H. (eds.). Springer Verlag, p. 547-556 10 p. (Advances in Intelligent Systems and Computing; vol. 649).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Intrusion detection
Feedforward neural networks
Feedback
2 Citations (Scopus)

A hybrid deep learning system of CNN and LRCN to detect cyberbullying from SNS comments

Bu, S. J. & Cho, S-B., 2018 Jan 1, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. Herrero, A., Quintian, H., Antonio Saez, J., Corchado, E., de Cos Juez, F. J., Villar, J. R. & de la Cal, E. A. (eds.). Springer Verlag, p. 561-572 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10870 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hybrid Learning
Learning Systems
Hybrid Systems
Social Networks
Learning systems
1 Citation (Scopus)

An evolutionary agent-based framework for modeling and analysis of labor market

Yu, J. M. & Cho, S-B., 2018 Jan 3, In : Neurocomputing. 271, p. 84-94 11 p.

Research output: Contribution to journalArticle

Salaries and Fringe Benefits
Systems Analysis
Personnel
Efficiency
Sick Leave
5 Citations (Scopus)
Neural networks
Radial basis function networks
Multilayer neural networks
Mean square error
Statistical Models

Applying accuracy-based LCS to detecting anomalous database access

Seo, S. & Cho, S. B., 2018 Jul 6, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1442-1448 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Anomalous
Adaptive Learning
Intrusion detection
Intrusion Detection
Rule Generation

CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network

Shin, W. & Cho, S-B., 2018 Jan 1, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Yin, H., Novais, P., Camacho, D. & Tallón-Ballesteros, A. J. (eds.). Springer Verlag, p. 457-467 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11314 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Closed circuit television systems
Anomaly Detection
Image Sequence
Transfer Learning
Modeling Method
3 Citations (Scopus)

Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model

Kim, J. Y. & Cho, S-B., 2018 Jan 1, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Yin, H., Novais, P., Camacho, D. & Tallón-Ballesteros, A. J. (eds.). Springer Verlag, p. 499-507 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11314 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Malware
Semantics
Gaussian distribution
Model
Transfer Learning

Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem

De, S. S., Dehuri, S. & Cho, S. B., 2018 Jul 31, Proceedings - 2017 International Conference on Information Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 143-151 9 p. 8423898

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multiobjective optimization
Optimization problem
Multi-objective optimization
3 Citations (Scopus)

Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer

Pal, J. K., Ray, S. S., Cho, S-B. & Pal, S. K., 2018 Mar 1, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15, 2, p. 659-672 14 p.

Research output: Contribution to journalArticle

MicroRNA
Entropy
MicroRNAs
Histogram
Patient Selection

Hybrid deep learning based on GAN for classifying BSR noises from invehicle sensors

Kim, J. Y., Bu, S. J. & Cho, S. B., 2018 Jan 1, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. Herrero, A., Quintian, H., Antonio Saez, J., Corchado, E., de Cos Juez, F. J., Villar, J. R. & de la Cal, E. A. (eds.). Springer Verlag, p. 27-38 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10870 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hybrid Learning
Classifiers
Discriminators
Sensor
Sensors

Learning bayesian network to predict group emotion in kindergarten by evolutionary computation

Choi, S. G. & Cho, S-B., 2018 Jan 1, International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings. Perez Garcia, H., Alfonso-Cendon, J., Sanchez Gonzalez, L., Corchado, E. & Quintian, H. (eds.). Springer Verlag, p. 3-12 10 p. (Advances in Intelligent Systems and Computing; vol. 649).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bayesian networks
Evolutionary algorithms
Chromosomes
Luminance
Atmospheric humidity

Learning classifier systems for adaptive learning of intrusion detection system

Lee, C. S. & Cho, S. B., 2018 Jan 1, International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings. Springer Verlag, p. 557-566 10 p. (Advances in Intelligent Systems and Computing; vol. 649).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Intrusion detection
Classifiers
Supervised learning
Reinforcement learning
Evolutionary algorithms
1 Citation (Scopus)

Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency

Bu, S. J. & Cho, S-B., 2018 Jan 1, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Yin, H., Novais, P., Camacho, D. & Tallón-Ballesteros, A. J. (eds.). Springer Verlag, p. 468-480 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11314 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Boltzmann Machine
Q-function
Profit
Profitability
Q-learning

Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm

Giri, P. K., De, S. S., Dehuri, S. & Cho, S. B., 2018 Jul 31, Proceedings - 2017 International Conference on Information Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 152-158 7 p. 8423899

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Logistics
Experimental study
Benchmark
Evaluation
Avoidance
6 Citations (Scopus)

Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks

Kim, T. Y. & Cho, S-B., 2018 Jan 1, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Yin, H., Novais, P., Camacho, D. & Tallón-Ballesteros, A. J. (eds.). Springer Verlag, p. 481-490 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11314 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Memory Term
Power Consumption
Electric power utilization
Neural Networks
Neural networks
2 Citations (Scopus)

Sensor information fusion by integrated AI to control public emotion in a cyber-physical environment

Choi, S. G. & Cho, S. B., 2018 Nov 2, In : Sensors (Switzerland). 18, 11, 3767.

Research output: Contribution to journalArticle

emotions
Information fusion
Emotions
fusion
sensors
1 Citation (Scopus)

Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification

Kalia, H., Dehuri, S., Ghosh, A. & Cho, S-B., 2018 Aug 1, In : International Journal of Fuzzy Systems. 20, 6, p. 1938-1955 18 p.

Research output: Contribution to journalArticle

Multi-objective Genetic Algorithm
Fuzzy rules
Fuzzy Rules
Genetic algorithms
Fuzzy Rule-based Systems
23 Citations (Scopus)

Web traffic anomaly detection using C-LSTM neural networks

Kim, T. Y. & Cho, S-B., 2018 Sep 15, In : Expert Systems with Applications. 106, p. 66-76 11 p.

Research output: Contribution to journalArticle

Neural networks
Network layers
Time series
Computer networks
World Wide Web
15 Citations (Scopus)

Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

Kim, J. Y., Bu, S. J. & Cho, S-B., 2018 Sep 1, In : Information Sciences. 460-461, p. 83-102 20 p.

Research output: Contribution to journalArticle

Software
Zero
Attack
Malware
Computer systems
2017
1 Citation (Scopus)
Bayesian networks
Sensors
Decision trees
Internet of things
9 Citations (Scopus)

A hybrid system of deep learning and learning classifier system for database intrusion detection

Bu, S. J. & Cho, S. B., 2017 Jan 1, Hybrid Artificial Intelligent Systems - 12th International Conference, HAIS 2017, Proceedings. Quintian, H., Corchado, E., [surname]Martinez de Pison, F. J. & Urraca, R. (eds.). Springer Verlag, p. 615-625 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10334 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning Classifier Systems
Intrusion detection
Intrusion Detection
Hybrid systems
Hybrid Systems

An agent-based system for abnormal flow detection in semiconductor production line

Lee, D. C. & Cho, S. B., 2017 Dec 13, ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings. IEEE Computer Society, Vol. 2017-October. p. 2015-2020 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semiconductor materials
Quality control
Accidents
Managers
Automation
3 Citations (Scopus)

Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending

Kim, A. & Cho, S-B., 2017 Jan 1, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Zhao, D., El-Alfy, E-S. M., Liu, D., Xie, S. & Li, Y. (eds.). Springer Verlag, p. 854-862 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10635 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semi-supervised Learning
Supervised learning
Labeling
Fusion
Fusion reactions

Despeckling with structure preservation in clinical ultrasound images using historical edge information weighted regularizer

Roy, R., Ghosh, S., Cho, S. B. & Ghosh, A., 2017 Jan 1, Mining Intelligence and Knowledge Exploration - 5th International Conference, MIKE 2017, Proceedings. Pal, R., Ghosh, A. & Prasath, R. (eds.). Springer Verlag, p. 144-155 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10682 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ultrasound Image
Preservation
Ultrasonics
Timestamp
Qualitative Analysis
4 Citations (Scopus)

Ensemble bayesian networks evolved with speciation for high-performance prediction in data mining

Kim, K. J. & Cho, S-B., 2017 Feb 1, In : Soft Computing. 21, 4, p. 1065-1080 16 p.

Research output: Contribution to journalArticle

Speciation
Performance Prediction
Bayesian networks
Bayesian Networks
Data mining
10 Citations (Scopus)

Malware detection using deep transferred generative adversarial networks

Kim, J. Y., Bu, S. J. & Cho, S. B., 2017 Jan 1, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Li, Y., Liu, D., Xie, S., El-Alfy, E-S. M. & Zhao, D. (eds.). Springer Verlag, p. 556-564 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10634 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Malware
Software
Detector
Detectors
Learning algorithms
8 Citations (Scopus)

Modular bayesian networks with low-power wearable sensors for recognizing eating activities

Kim, K. H. & Cho, S. B., 2017 Dec 11, In : Sensors (Switzerland). 17, 12, 2877.

Research output: Contribution to journalArticle

eating
Bayesian networks
Eating
Value of Life
Smartphones
2 Citations (Scopus)

Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences

Seo, S. & Cho, S-B., 2017 Jan 1, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Zhao, D., El-Alfy, E-S. M., Liu, D., Xie, S. & Li, Y. (eds.). Springer Verlag, p. 532-539 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10635 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transfer Learning
Convolution
Neural Networks
Neural networks
Shortage
25 Citations (Scopus)
Smartphones
Hidden Markov models
Classifiers
Gyroscopes
Sensors