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2020 – today
- 2022
- [j177]Jin-Young Kim, Sung-Bae Cho
:
Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features. Comput. Secur. 112: 102501 (2022) - [j176]Jin-Young Kim, Sung-Bae Cho:
A deep neural network ensemble of multimodal signals for classifying excavator operations. Neurocomputing 470: 290-299 (2022) - [e7]Herwig Unger, Young-Kuk Kim, Eenjun Hwang, Sung-Bae Cho, Stephan Pareigis, Kyamakya Kyandoghere, Young-Guk Ha, Jinho Kim, Atsuyuki Morishima, Christian Wagner, Hyuk-Yoon Kwon, Yang-Sae Moon, Carson K. Leung:
IEEE International Conference on Big Data and Smart Computing, BigComp 2022, Daegu, Korea, Republic of, January 17-20, 2022. IEEE 2022, ISBN 978-1-6654-2197-3 [contents] - 2021
- [j175]Gye-Bong Jang
, Jin-Young Kim, Sung-Bae Cho
:
Cross-Domain Fault Diagnosis of Rotating Machinery Using Discriminative Feature Attention Network. IEEE Access 9: 99781-99793 (2021) - [j174]Antonio J. Tallón-Ballesteros, Sung-Bae Cho:
Extracting salient information from discarded features via attribute selection and pruning. Appl. Soft Comput. 101: 107041 (2021) - [j173]Jin-Young Kim, Sung-Bae Cho:
A systematic analysis and guidelines of graph neural networks for practical applications. Expert Syst. Appl. 184: 115466 (2021) - [j172]Jin-Young Kim, Sung-Bae Cho:
Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space. Expert Syst. Appl. 186: 115842 (2021) - [j171]Jin-Young Kim, Sung-Bae Cho:
Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile. Neurocomputing 452: 395-403 (2021) - [j170]Tae-Young Kim, Sung-Bae Cho
:
Optimizing CNN-LSTM neural networks with PSO for anomalous query access control. Neurocomputing 456: 666-677 (2021) - [j169]Kyung-Joong Kim
, Sung-Bae Cho
:
Inference of Other's Minds with Limited Information in Evolutionary Robotics. Int. J. Soc. Robotics 13(4): 661-676 (2021) - [j168]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): 35-51 (2021) - [j167]Gye-Bong Jang
, Sung-Bae Cho
:
Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions. Sensors 21(4): 1417 (2021) - [c269]Seok-Jun Bu, Hyung-Jun Moon, Sung-Bae Cho:
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles. BigComp 2021: 60-64 - [c268]Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho:
Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection. HAIS 2021: 88-100 - [c267]Seok-Jun Bu, Sung-Bae Cho:
Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection. ICASSP 2021: 2685-2689 - [c266]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: 387-396 - [c265]Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification. IDEAL 2021: 426-436 - [c264]Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network. SOCO 2021: 578-587 - [c263]Gye-Bong Jang, Sung-Bae Cho:
Anomaly Detection for Health Monitoring of Heavy Equipment Using Hierarchical Prediction with Correlative Feature Learning. SOCO 2021: 598-608 - [e6]Hujun Yin
, David Camacho
, Peter Tiño
, Richard Allmendinger
, Antonio J. Tallón-Ballesteros
, Ke Tang
, Sung-Bae Cho
, Paulo Novais
, Susana Nascimento
:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - 2020
- [j166]Bhabani Shankar Prasad Mishra
, Om Pandey
, Satchidananda Dehuri, Sung-Bae Cho
:
Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis. IEEE Access 8: 169215-169228 (2020) - [j165]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): 443-461 (2020) - [j164]Seul-Gi Choi, Sung-Bae Cho:
Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions. Log. J. IGPL 28(4): 449-460 (2020) - [j163]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): 487-501 (2020) - [j162]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): 2050034:1-2050034:15 (2020) - [j161]Seul-Gi Choi, Sung-Bae Cho
:
Bayesian networks + reinforcement learning: Controlling group emotion from sensory stimuli. Neurocomputing 391: 355-364 (2020) - [j160]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): 1-34 (2020) - [j159]Seok-Jun Bu
, Sung-Bae Cho
:
A convolutional neural-based learning classifier system for detecting database intrusion via insider attack. Inf. Sci. 512: 123-136 (2020) - [j158]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): 987-999 (2020) - [c262]Jin-Young Kim, Sung-Bae Cho:
Fair Representation for Safe Artificial Intelligence via Adversarial Learning of Unbiased Information Bottleneck. SafeAI@AAAI 2020: 105-112 - [c261]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: 460-469 - [c260]Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho:
Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation. HAIS 2020: 3-12 - [c259]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: 3057-3061 - [c258]Jin-Young Kim, Sung-Bae Cho:
Electric Energy Demand Forecasting with Explainable Time-series Modeling. ICDM (Workshops) 2020: 711-716 - [c257]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: 757-761 - [c256]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: 485-494 - [c255]Seok-Jun Bu, Sung-Bae Cho:
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network. IDEAL (2) 2020: 507-515 - [c254]Jin-Young Kim, Sung-Bae Cho:
Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption. SOCO 2020: 133-143
2010 – 2019
- 2019
- [j157]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) - [j156]Aleum Kim, Sung-Bae Cho:
An ensemble semi-supervised learning method for predicting defaults in social lending. Eng. Appl. Artif. Intell. 81: 193-199 (2019) - [j155]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) - [j154]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): 1950013:1-1950013:32 (2019) - [j153]Sung-Bae Cho, Jae-Min Yu:
Hierarchical modular Bayesian networks for low-power context-aware smartphone. Neurocomputing 326-327: 100-109 (2019) - [j152]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: 17-27 (2019) - [j151]Ji-Yoon Kim, Sung-Bae Cho
:
Exploiting deep convolutional neural networks for a neural-based learning classifier system. Neurocomputing 354: 61-70 (2019) - [c253]Seok-Jun Bu, Sung-Bae Cho:
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks. IEEE BigData 2019: 3545-3552 - [c252]Jin-Young Kim, Kyunghyun Lim, Sung-Bae Cho:
Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data. IEEE BigData 2019: 3583-3589 - [c251]Jin-Young Kim, Sung-Bae Cho:
Evolutionary Optimization of Hyperparameters in Deep Learning Models. CEC 2019: 831-837 - [c250]Tae-Young Kim, Sung-Bae Cho:
Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption. CEC 2019: 1510-1516 - [c249]Ggyebong Jang, Sung-Bae Cho:
Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm. CEC 2019: 1953-1959 - [c248]Tae-Young Kim, Sung-Bae Cho:
Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model. HAIS 2019: 123-132 - [c247]Seok-Jun Bu, Sung-Bae Cho:
Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack. HAIS 2019: 145-156 - [c246]Tae-Young Kim, Sung-Bae Cho:
CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model. ICONIP (4) 2019: 131-139 - [c245]Jin-Young Kim, Sung-Bae Cho:
Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data. IDEAL (1) 2019: 319-327 - [c244]Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho:
Non-stationary Noise Cancellation Using Deep Autoencoder Based on Adversarial Learning. IDEAL (1) 2019: 367-374 - [c243]Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass. IDEAL (1) 2019: 375-385 - [c242]Jin-Young Kim, Sung-Bae Cho:
Unsupervised Novelty Detection in Video with Adversarial Autoencoder Based on Non-Euclidean Space. SITIS 2019: 22-27 - [c241]Wonsup Shin, Sung-Bae Cho:
Cycle-Consistent InfoGAN for Speech Enhancement in Various Background Noises. SITIS 2019: 203-208 - [c240]Jin-Young Kim, Sung-Bae Cho:
Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models. SOCO 2019: 25-34 - [i2]Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho:
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning. CoRR abs/1909.03278 (2019) - [i1]Wonsup Shin, Tae-Young Kim, Sung-Bae Cho:
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network. CoRR abs/1909.04252 (2019) - 2018
- [j150]Tae-Young Kim, Sung-Bae Cho:
Web traffic anomaly detection using C-LSTM neural networks. Expert Syst. Appl. 106: 66-76 (2018) - [j149]Trilok Nath Pandey
, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
A review and empirical analysis of neural networks based exchange rate prediction. Intell. Decis. Technol. 12(4): 423-439 (2018) - [j148]Harihar Kalia
, Satchidananda Dehuri, Ashish Ghosh
, Sung-Bae Cho:
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification. Int. J. Fuzzy Syst. 20(6): 1938-1955 (2018) - [j147]Jae-Min Yu, Sung-Bae Cho:
An evolutionary agent-based framework for modeling and analysis of labor market. Neurocomputing 271: 84-94 (2018) - [j146]Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders. Inf. Sci. 460-461: 83-102 (2018) - [j145]Seul-Gi Choi, Sung-Bae Cho
:
Sensor Information Fusion by Integrated AI to Control Public Emotion in a Cyber-Physical Environment. Sensors 18(11): 3767 (2018) - [j144]Jayanta Kumar Pal
, Shubhra Sankar Ray, Sung-Bae Cho, Sankar K. Pal:
Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 659-672 (2018) - [c239]Suin Seo, Sung-Bae Cho:
Applying accuracy-based LCS to detecting anomalous database access. GECCO (Companion) 2018: 1442-1448 - [c238]Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors. HAIS 2018: 27-38 - [c237]Seok-Jun Bu, Sung-Bae Cho:
A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments. HAIS 2018: 561-572 - [c236]Wonsup Shin, Sung-Bae Cho:
CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network. IDEAL (1) 2018: 457-467 - [c235]Seok-Jun Bu, Sung-Bae Cho:
Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency. IDEAL (1) 2018: 468-480 - [c234]Tae-Young Kim, Sung-Bae Cho:
Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks. IDEAL (1) 2018: 481-490 - [c233]Jin-Young Kim, Sung-Bae Cho:
Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model. IDEAL (1) 2018: 499-507 - [c232]Ji-Yoon Kim, Sung-Bae Cho:
Deep Dense Convolutional Networks for Repayment Prediction in Peer-to-Peer Lending. SOCO-CISIS-ICEUTE 2018: 134-144 - 2017
- [j143]Charissa Ann Ronao, Sung-Bae Cho:
Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models. Int. J. Distributed Sens. Networks 13(1) (2017) - [j142]K. Yang, Sung-Bae Cho:
A context-aware system in Internet of Things using modular Bayesian networks. Int. J. Distributed Sens. Networks 13(5) (2017) - [j141]Kee-Hoon Kim, Sung-Bae Cho
:
Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities. Sensors 17(12): 2877 (2017) - [j140]Kyung-Joong Kim
, Sung-Bae Cho:
Ensemble bayesian networks evolved with speciation for high-performance prediction in data mining. Soft Comput. 21(4): 1065-1080 (2017) - [c231]Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem. ICIT 2017: 143-151 - [c230]Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. ICIT 2017: 152-158 - [c229]Seok-Jun Bu, Sung-Bae Cho:
A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection. HAIS 2017: 615-625 - [c228]Suin Seo, Sung-Bae Cho:
Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences. ICONIP (2) 2017: 532-539 - [c227]Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Malware Detection Using Deep Transferred Generative Adversarial Networks. ICONIP (1) 2017: 556-564 - [c226]Aleum Kim, Sung-Bae Cho:
Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending. ICONIP (2) 2017: 854-862 - [c225]Antonio J. Tallón-Ballesteros, Luís Correia
, Sung-Bae Cho:
Stochastic and Non-Stochastic Feature Selection. IDEAL 2017: 592-598 - [c224]Sung-Bae Cho, Antonio J. Tallón-Ballesteros:
Visual Tools to Lecture Data Analytics and Engineering. IWINAC (2) 2017: 551-558 - [c223]Rahul Roy, Susmita Ghosh
, Sung-Bae Cho, Ashish Ghosh
:
Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer. MIKE 2017: 144-155 - [c222]Seul-Gi Choi, Sung-Bae Cho:
Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation. SOCO-CISIS-ICEUTE 2017: 3-12 - [c221]Seul-Gi Choi, Sung-Bae Cho:
Adaptive Database Intrusion Detection Using Evolutionary Reinforcement Learning. SOCO-CISIS-ICEUTE 2017: 547-556 - [c220]Chang-Seok Lee, Sung-Bae Cho:
Learning Classifier Systems for Adaptive Learning of Intrusion Detection System. SOCO-CISIS-ICEUTE 2017: 557-566 - 2016
- [j139]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho:
Radial basis function neural networks: a topical state-of-the-artsurvey. Open Comput. Sci. 6(1) (2016) - [j138]Charissa Ann Ronao, Sung-Bae Cho:
Human activity recognition with smartphone sensors using deep learning neural networks. Expert Syst. Appl. 59: 235-244 (2016) - [j137]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh
, Sung-Bae Cho:
On the mining of fuzzy association rule using multi-objective genetic algorithms. Int. J. Data Min. Model. Manag. 8(1): 1-31 (2016) - [j136]Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho
, Michal Wozniak
, Sung-Bae Cho, Héctor Quintián
:
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 176: 1-2 (2016) - [j135]Sung-Bae Cho:
Exploiting machine learning techniques for location recognition and prediction with smartphone logs. Neurocomputing 176: 98-106 (2016) - [j134]Sungsoo Lim, Seung-Hyun Lee, Sung-Bae Cho:
A modular approach to landmark detection based on a Bayesian network and categorized context logs. Inf. Sci. 330: 145-156 (2016) - [j133]Badri Narayan Subudhi
, Susmita Ghosh
, Sung-Bae Cho, Ashish Ghosh
:
Integration of fuzzy Markov random field and local information for separation of moving objects and shadows. Inf. Sci. 331: 15-31 (2016) - [j132]Charissa Ann Ronao, Sung-Bae Cho:
Anomalous query access detection in RBAC-administered databases with random forest and PCA. Inf. Sci. 369: 238-250 (2016) - [j131]Youngseol Lee, Sung-Bae Cho:
Layered hidden Markov models to recognize activity with built-in sensors on Android smartphone. Pattern Anal. Appl. 19(4): 1181-1193 (2016) - [j130]Ch. Sanjeev Kumar Dash, Amitav Saran, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database. Pattern Recognit. Lett. 80: 76-83 (2016) - [c219]Sang-Muk Jo, Sung-Bae Cho:
A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System. HAIS 2016: 91-101 - [c218]Jun-Ho Kim, Ki-Hoon Kim, Sung-Bae Cho:
A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning. HAIS 2016: 377-388 - [c217]Jae-Min Yu, Sung-Bae Cho:
Prediction of Bank Telemarketing with Co-training of Mixture-of-Experts and MLP. ICONIP (4) 2016: 52-59 - [c216]Jae-Min Yu, Sung-Bae Cho:
Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot. ICONIP (1) 2016: 168-176 - 2015
- [j129]Kyung-Joong Kim
, Sung-Bae Cho:
Inference of other's internal neural models from active observation. Biosyst. 128: 37-47 (2015) - [j128]Jun-Ki Min, Jin-Hyuk Hong
, Sung-Bae Cho:
Combining localized fusion and dynamic selection for high-performance SVM. Expert Syst. Appl. 42(1): 9-20 (2015) - [j127]Héctor Quintián
, Emilio Corchado, André Carlos Ponce de Leon Ferreira de Carvalho
, Ajith Abraham, Michal Wozniak
, Manuel Graña, Sung-Bae Cho:
Editorial: Special issue HAIS12-IGPL. Log. J. IGPL 23(3): 355-358 (2015) - [j126]Ch. Sanjeev Kumar Dash, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels. Int. J. Artif. Intell. Tools 24(4): 1550013:1-1550013:29 (2015) - [j125]Ch. Sanjeev Kumar Dash, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database. Int. J. Comput. Intell. Syst. 8(3): 539-552 (2015) - [j124]Bhabani Shankar Prasad Mishra, Eui-Whan Kim, Guck-Cheol Bang, Satchidananda Dehuri, Sung-Bae Cho:
Weapon target assignment problem: multi-objective formulation, optimisation using MOPSO and TOPSIS. Int. J. Intell. Def. Support Syst. 5(3): 226-252 (2015) - [j123]Han-Saem Park, Moon-Hee Park, Sung-Bae Cho:
Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network. Int. J. Inf. Technol. Decis. Mak. 14(2): 317-338 (2015) - [j122]Héctor Quintián
, Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho
, Michal Wozniak
, Václav Snásel, Sung-Bae Cho:
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 163: 1-2 (2015) - [j121]Seung-Hyun Lee, Kyon-Mo Yang, Sung-Bae Cho:
Integrated modular Bayesian networks with selective inference for context-aware decision making. Neurocomputing 163: 38-46 (2015) - [j120]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection. Informatica (Slovenia) 39(2) (2015) - [j119]Kyung-Joong Kim
, Sung-Bae Cho:
Meta-classifiers for high-dimensional, small sample classification for gene expression analysis. Pattern Anal. Appl. 18(3): 553-569 (2015) - [c215]