• 5092 Citations
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1990 …2019
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Research Output 1990 2019

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Conference contribution
2019

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
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. 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

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

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

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

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. 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

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

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
2017
3 Citations

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. 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
1 Citations

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. 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. Springer Verlag, Vol. 10682 LNAI. 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
3 Citations

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. 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

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. 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
2 Citations

Stochastic and non-stochastic feature selection

Tallón-Ballesteros, A. J., Correia, L. & Cho, S. B., 2017 Jan 1, Intelligent Data Engineering and Automated Learning – IDEAL 2017 - 18th International Conference, Proceedings. Springer Verlag, p. 592-598 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10585 LNCS).

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

Feature Selection
Feature extraction
Wrapper
Taxonomies
Taxonomy
1 Citations

Visual tools to lecture data analytics and engineering

Cho, S. B. & Tallón-Ballesteros, A. J., 2017 Jan 1, Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings. Springer Verlag, Vol. 10338 LNCS. p. 551-558 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10338 LNCS).

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

Engineering
Data mining
Learning systems
Data Mining
Machine Learning
2016

A context-aware keyboard generator for smartphone using random forest and rule-based system

Jo, S. M. & Cho, S. B., 2016 Jan 1, Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. Springer Verlag, Vol. 9648. p. 91-101 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9648).

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

Rule-based Systems
Random Forest
Smartphones
Knowledge based systems
Context-aware

A group emotion control system based on reinforcement learning

Kim, K. H. & Cho, S-B., 2016 Jun 15, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Koppen, M., Muda, A. K., Ma, K., Xue, B., Takagi, H. & Abraham, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 303-307 5 p. 7492826

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

Reinforcement learning
Ubiquitous computing
Reinforcement Learning
Control System
Control systems

Analysis of an intention-response model inspired by brain nervous system for cognitive robot

Yu, J. M. & Cho, S. B., 2016 Jan 1, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Springer Verlag, Vol. 9947 LNCS. p. 168-176 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9947 LNCS).

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

Neurology
Neurons
Brain
Mirrors
Robot
2 Citations

A sensory control system for adjusting group emotion using Bayesian networks and reinforcement learning

Kim, J. H., Kim, K. H. & Cho, S-B., 2016 Jan 1, Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. Martinez-Alvarez, F., Troncoso, A., Quintian, H. & Corchado, E. (eds.). Springer Verlag, p. 377-388 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9648).

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

Reinforcement learning
Bayesian networks
Reinforcement Learning
Bayesian Networks
Control System

Automatic generation of GUI for smartphone IME by classifying user behavior patterns

Jo, S. M. & Cho, S. B., 2016 Jun 15, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc., p. 294-297 4 p. 7492824

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

Computer keyboards
Smartphones
User Behavior
Graphical user interfaces
Decision trees
1 Citations

Optimal partial filters of EEG signals for shared control of vehicle

Huh, W. G. & Cho, S. B., 2016 Jun 15, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc., p. 290-293 4 p. 7492823

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

Electroencephalography
Filter
Partial
Control systems
Railroad cars
1 Citations

Predicting group emotion in kindergarten classes by modular Bayesian networks

Cho, S-B. & Kim, J. H., 2016 Jun 15, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Koppen, M., Muda, A. K., Ma, K., Xue, B., Takagi, H. & Abraham, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 298-302 5 p. 7492825

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

Bayesian networks
Bayesian Networks
Measuring instruments
Electrode
Education
3 Citations

Predicting the success of bank telemarketing using deep convolutional neural network

Kim, K. H., Lee, C. S., Jo, S. M. & Cho, S. B., 2016 Jun 15, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc., p. 314-317 4 p. 7492828

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

Neural Networks
Neural networks
Classifiers
Image recognition
Network architecture

Prediction of bank telemarketing with co-training of mixture-of-experts and MLP

Yu, J. M. & Cho, S. B., 2016 Jan 1, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Springer Verlag, p. 52-59 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9950 LNCS).

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

Co-training
Mixture of Experts
Financial Data
Marketing
Prediction
2015

A dining context-aware system with mobile and wearable devices

Kim, K. H. & Cho, S. B., 2015 Dec 22, Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015. Institute of Electrical and Electronics Engineers Inc., p. 2381-2386 6 p. 7363398

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

Sensors
Bayesian networks
Learning systems
4 Citations

A low-power context-aware system for smartphone using hierarchical modular bayesian networks

Yu, J. M. & Cho, S. B., 2015 Jan 1, Hybrid Artificial Intelligent Systems - 10th International Conference, HAIS 2015, Proceedings. Springer Verlag, Vol. 9121. p. 543-554 12 p.

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

Smartphones
Bayesian networks
Context-aware
Bayesian Networks
Time and motion study

A smartphone management method to save battery using Bayesian networks and fuzzy system

Kim, J. H. & Cho, S. B., 2015 Dec 22, Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015. Institute of Electrical and Electronics Engineers Inc., p. 1274-1279 6 p. 7363233

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

Smartphones
Bayesian networks
Fuzzy systems
Hazards and race conditions
Students
20 Citations

Deep convolutional neural networks for human activity recognition with smartphone sensors

Ronao, C. A. & Cho, S. B., 2015 Jan 1, Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. Springer Verlag, p. 46-53 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9492).

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

Activity Recognition
Smartphones
Neural Networks
Neural networks
Time series
8 Citations

Edge Preserving Region Growing for Aerial Color Image Segmentation

Subudhi, B. N., Patwa, I., Ghosh, A. & Cho, S-B., 2015 Jan 1, Intelligent Computing, Communication and Devices - Proceedings of ICCD 2014. VOLUME 2 ed. Springer Verlag, p. 481-488 8 p. (Advances in Intelligent Systems and Computing; vol. 309 AISC, no. VOLUME 2).

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

Image segmentation
Antennas
Color
Merging
Feature extraction
3 Citations

Efficient Microarray Data Classification with Three-Stage Dimensionality Reduction

Dash, R., Misra, B. B., Dehuri, S. & Cho, S-B., 2015 Jan 1, Intelligent Computing, Communication and Devices - Proceedings of ICCD 2014. VOLUME 1 ed. Springer Verlag, p. 805-812 8 p. (Advances in Intelligent Systems and Computing; vol. 308 AISC, no. VOLUME 1).

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

Microarrays
Genes
Principal component analysis
Signal to noise ratio
Classifiers
5 Citations

Mining SQL queries to detect anomalous database access using random forest and PCA

Ronao, C. A. & Cho, S. B., 2015 Jan 1, Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings. Springer Verlag, Vol. 9101. p. 151-160 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9101).

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

Random Forest
Intrusion Detection
Principal component analysis
Principal Component Analysis
Anomalous

Modeling and analysis of agent-based labor market

Yu, J. M. & Cho, S-B., 2015 Jan 1, 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Herrero, A., Baruque, B., Sedano, J., Quintian, H. & Corchado, E. (eds.). Springer Verlag, p. 215-226 12 p. (Advances in Intelligent Systems and Computing; vol. 368).

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

Personnel
Industry
Wages
Productivity
Experiments
3 Citations

Random forests with weighted voting for anomalous query access detection in relational databases

Ronao, C. A. & Cho, S. B., 2015 Jan 1, Artificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Proceedings. Springer Verlag, Vol. 9120. p. 36-48 13 p.

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

Random Forest
Relational Database
Voting
Anomalous
Query
2014
3 Citations

A brain-computer interface for shared vehicle control on TORCS car racing game

Kim, D. & Cho, S-B., 2014 Jan 1, 2014 10th International Conference on Natural Computation, ICNC 2014. Institute of Electrical and Electronics Engineers Inc., p. 550-555 6 p. 6975894

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

Brain computer interface
Electroencephalography
Railroad cars
Control systems
Experiments
6 Citations

A hybrid recommender system based on AHP that awares contexts with Bayesian networks for smart TV

Quan, J. C. & Cho, S. B., 2014 Jan 1, Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Proceedings. Springer Verlag, Vol. 8480 LNAI. p. 527-536 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8480 LNAI).

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

Analytic hierarchy process
Recommender Systems
Analytic Hierarchy Process
Recommender systems
Bayesian networks
4 Citations

Context-aware smartphone application category recommender system with modularized bayesian networks

Rho, W. H. & Cho, S. B., 2014 Jan 1, 2014 10th International Conference on Natural Computation, ICNC 2014. Institute of Electrical and Electronics Engineers Inc., p. 775-779 5 p. 6975935

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

Smartphones
Recommender systems
Bayesian networks
Collaborative filtering
Data privacy
29 Citations

Human activity recognition using smartphone sensors with two-stage continuous hidden markov models

Ronao, C. A. & Cho, S. B., 2014 Jan 1, 2014 10th International Conference on Natural Computation, ICNC 2014. Institute of Electrical and Electronics Engineers Inc., p. 681-686 6 p. 6975918

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

Smartphones
Hidden Markov models
Sensors
Gyroscopes
Accelerometers
1 Citations

Intention-response model based on mirror neuron and theory of mind

Chae, Y. J. & Cho, S. B., 2014 Jan 1, 2014 10th International Conference on Natural Computation, ICNC 2014. Institute of Electrical and Electronics Engineers Inc., p. 384-389 6 p. 6975866

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

Neurons
Mirrors
Brain
Robots
Experiments
1 Citations

Modular dynamic bayesian network based on markov boundary for emotion prediction in multi-sensory environment

Yang, K. M. & Cho, S. B., 2014 Jan 1, 2014 10th International Conference on Natural Computation, ICNC 2014. Institute of Electrical and Electronics Engineers Inc., p. 1131-1136 6 p. 6976000

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

Bayesian networks
Marketing
Education
Experiments
Uncertainty

Office delivery robot controlled by modular behavior selection networks with planning capability

Lee, Y. S. & Cho, S-B., 2014 Jan 1, Informatics in Control, Automation and Robotics - 9th International Conference, ICINCO 2012, Revised Selected Papers. Ferrier, J-L., Bernard, A., Gusikhin, O. & Madani, K. (eds.). Springer Verlag, p. 103-113 11 p. (Lecture Notes in Electrical Engineering; vol. 283).

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

Robots
Planning
Mobile robots
Simulators
Feedback

Planning-driven behavior selection network for controlling a humanoid robot

Chae, Y. J. & Cho, S. B., 2014 Jan 1, Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., p. 4244-4250 7 p. 6889922

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

Robots
Planning
Control systems
Scalability
Wheels
1 Citations

Recognizing Semantic Locations from Smartphone Log with Combined Machine Learning Techniques

Xu, H. & Cho, S-B., 2014 Jan 1, Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014. Zheng, Y., Thulasiraman, P., Apduhan, B. O., Nakamoto, Y., Ning, H. & Sun, Y. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 66-71 6 p. 7306935

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

Smartphones
Learning systems
Semantics
Decision trees
Wi-Fi
2013
11 Citations

A HMM-based location prediction framework with location recognizer combining k-nearest neighbor and multiple decision trees

Kim, Y. J. & Cho, S. B., 2013 Oct 8, Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Proceedings. Vol. 8073 LNAI. p. 618-628 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8073 LNAI).

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

Hidden Markov models
Decision trees
Decision tree
Markov Model
Nearest Neighbor

An effective retrieval method with semantic networks for mobile life-log of smartphones

Xu, H. & Cho, S. B., 2013 Dec 1, Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 ed. Vol. 8227 LNCS. p. 753-760 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8227 LNCS, no. PART 2).

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

Semantic Network
Smartphones
Retrieval
Semantics
Life