• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1990 …2022

Research activity per year

If you made any changes in Pure these will be visible here soon.
Filter
Conference contribution

Search results

  • 2021

    Adversarial signal augmentation for CNN-LSTM to classify impact noise in automobiles

    Bu, S. J., Moon, H. J. & Cho, S. B., 2021 Jan, Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021. Unger, H., Kim, J., Kang, U., So-In, C., Du, J., Saad, W., Ha, Y., Wagner, C., Bourgeois, J., Sathitwiriyawong, C., Kwon, H-Y. & Leung, C. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 60-64 5 p. 9373248. (Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021).

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

    1 Citation (Scopus)
  • Detecting intrusion via insider attack in database transactions by learning disentangled representation with deep metric neural network

    Go, G. M., Bu, S. J. & Cho, S. B., 2021, 13th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2020. Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H. & Corchado, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 460-469 10 p. (Advances in Intelligent Systems and Computing; vol. 1267 AISC).

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

  • Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption

    Kim, J. Y. & Cho, S. B., 2021, 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020. Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H. & Corchado, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 133-143 11 p. (Advances in Intelligent Systems and Computing; vol. 1268 AISC).

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

    4 Citations (Scopus)
  • 2020

    A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects

    Go, G. M., Bu, S. J. & Cho, S. B., 2020, Intelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, 2020, Proceedings. Analide, C., Novais, P., Camacho, D. & Yin, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 485-494 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12490 LNCS).

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

  • Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network

    Bu, S. J. & Cho, S. B., 2020, Intelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, 2020, Proceedings. Analide, C., Novais, P., Camacho, D. & Yin, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 507-515 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12490 LNCS).

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

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

    Kim, J. Y. & Cho, S. B., 2020, 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

    2 Citations (Scopus)
  • Electric Energy Demand Forecasting with Explainable Time-series Modeling

    Kim, J. Y. & Cho, S. B., 2020 Nov, Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020. Di Fatta, G., Sheng, V., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). IEEE Computer Society, p. 711-716 6 p. 9346431. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2020-November).

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

    1 Citation (Scopus)
  • Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation

    Lim, K. H., Kim, J. Y. & Cho, S. B., 2020, Hybrid Artificial Intelligent Systems - 15th International Conference, HAIS 2020, Proceedings. de la Cal, E. A., Villar Flecha, J. R., Quintián, H. & Corchado, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12344 LNAI).

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

  • Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network

    Moon, H. J., Bu, S. J. & Cho, S. B., 2020 Nov, Proceedings - 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020. Di Fatta, G., Sheng, V., Cuzzocrea, A., Zaniolo, C. & Wu, X. (eds.). IEEE Computer Society, p. 757-761 5 p. 9346355. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2020-November).

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

    2 Citations (Scopus)
  • 2019

    A deep learning-based surface defect inspection system for smartphone glass

    Go, G. M., Bu, S. J. & Cho, S. B., 2019, Intelligent Data Engineering and Automated Learning – IDEAL 2019 - 20th International Conference, Proceedings. Yin, H., Allmendinger, R., Camacho, D., Tino, P., Tallón-Ballesteros, A. J. & Menezes, R. (eds.). Springer, p. 375-385 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11871 LNCS).

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

    4 Citations (Scopus)
  • Anomaly detection of 2.4l diesel engine using one-class svm with variational autoencoder

    Jang, G. B. & Cho, S. B., 2019 Sep 23, Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM. Clements, N. S., Zhang, B. & Saxena, A. (eds.). 1 ed. Prognostics and Health Management Society, (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM; vol. 11, no. 1).

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

    Open Access
    1 Citation (Scopus)
  • Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks

    Bu, S. J. & Cho, S. B., 2019 Dec, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3545-3552 8 p. 9005960. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

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

    5 Citations (Scopus)
  • CNN-LSTM neural networks for anomalous database intrusion detection in RBAC-administered model

    Kim, T. Y. & Cho, S. B., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer, p. 131-139 9 p. (Communications in Computer and Information Science; vol. 1142 CCIS).

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

    5 Citations (Scopus)
  • Conditioned generative model via latent semantic controlling for learning deep representation of data

    Kim, J. Y. & Cho, S. B., 2019, Intelligent Data Engineering and Automated Learning – IDEAL 2019 - 20th International Conference, Proceedings. Yin, H., Allmendinger, R., Camacho, D., Tino, P., Tallón-Ballesteros, A. J. & Menezes, R. (eds.). Springer, p. 319-327 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11871 LNCS).

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

    2 Citations (Scopus)
  • Cycle-consistent InfoGAN for speech enhancement in various background noises

    Shin, W. & Cho, S. B., 2019 Nov, Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019. Yetongnon, K., Dipanda, A., Sanniti di Baja, G., Gallo, L. & Chbeir, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 203-208 6 p. 9067903. (Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019).

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

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

    Kim, J. Y. & Cho, S. B., 2019, 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

    8 Citations (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

    7 Citations (Scopus)
  • Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack

    Bu, S. J. & Cho, S. B., 2019, 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

    2 Citations (Scopus)
  • Non-stationary noise cancellation using deep autoencoder based on adversarial learning

    Lim, K. H., Kim, J. Y. & Cho, S. B., 2019, Intelligent Data Engineering and Automated Learning – IDEAL 2019 - 20th International Conference, Proceedings. Yin, H., Allmendinger, R., Camacho, D., Tino, P., Tallón-Ballesteros, A. J. & Menezes, R. (eds.). Springer, p. 367-374 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11871 LNCS).

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

    3 Citations (Scopus)
  • 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

    2 Citations (Scopus)
  • Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model

    Kim, T. Y. & Cho, S. B., 2019, 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

    4 Citations (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

    30 Citations (Scopus)
  • Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data

    Kim, J. Y., Lim, K. H. & Cho, S. B., 2019 Dec, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3583-3589 7 p. 9006301. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

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

    1 Citation (Scopus)
  • Unsupervised novelty detection in video with adversarial autoencoder based on non-euclidean space

    Kim, J. Y. & Cho, S. B., 2019 Nov, Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019. Yetongnon, K., Dipanda, A., Sanniti di Baja, G., Gallo, L. & Chbeir, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 22-27 6 p. 9067960. (Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019).

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

    1 Citation (Scopus)
  • 2018

    Adaptive database intrusion detection using evolutionary reinforcement learning

    Choi, S. G. & Cho, S. B., 2018, 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

    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, 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

    9 Citations (Scopus)
  • 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. (GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion).

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

    2 Citations (Scopus)
  • CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network

    Shin, W. & Cho, S. B., 2018, 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

    4 Citations (Scopus)
  • Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model

    Kim, J. Y. & Cho, S. B., 2018, 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

    13 Citations (Scopus)
  • 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. (Proceedings - 2017 International Conference on Information Technology, ICIT 2017).

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

    1 Citation (Scopus)
  • Hybrid deep learning based on GAN for classifying BSR noises from invehicle sensors

    Kim, J. Y., Bu, S. J. & Cho, S. B., 2018, 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

    10 Citations (Scopus)
  • Learning bayesian network to predict group emotion in kindergarten by evolutionary computation

    Choi, S. G. & Cho, S. B., 2018, 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

  • Learning classifier systems for adaptive learning of intrusion detection system

    Lee, C. S. & Cho, S. B., 2018, 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. 557-566 10 p. (Advances in Intelligent Systems and Computing; vol. 649).

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

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

    Bu, S. J. & Cho, S. B., 2018, 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

    5 Citations (Scopus)
  • 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. (Proceedings - 2017 International Conference on Information Technology, ICIT 2017).

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

    1 Citation (Scopus)
  • Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks

    Kim, T. Y. & Cho, S. B., 2018, 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

    28 Citations (Scopus)
  • 2017

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

    Bu, S. J. & Cho, S. B., 2017, 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

    14 Citations (Scopus)
  • 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, p. 2015-2020 6 p. (International Conference on Control, Automation and Systems; vol. 2017-October).

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

    2 Citations (Scopus)
  • Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending

    Kim, A. & Cho, S. B., 2017, 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

    5 Citations (Scopus)
  • Despeckling with structure preservation in clinical ultrasound images using historical edge information weighted regularizer

    Roy, R., Ghosh, S., Cho, S. B. & Ghosh, A., 2017, 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

  • Malware detection using deep transferred generative adversarial networks

    Kim, J. Y., Bu, S. J. & Cho, S. B., 2017, 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

    40 Citations (Scopus)
  • Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences

    Seo, S. & Cho, S. B., 2017, 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

    5 Citations (Scopus)
  • Stochastic and non-stochastic feature selection

    Tallón-Ballesteros, A. J., Correia, L. & Cho, S. B., 2017, Intelligent Data Engineering and Automated Learning – IDEAL 2017 - 18th International Conference, Proceedings. Yin, H., Zhang, M., Wen, Y., Cai, G., Gu, T., Tallon-Ballesteros, A. J., Du, J., Gao, Y. & Chen, S. (eds.). 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

    6 Citations (Scopus)
  • Visual tools to lecture data analytics and engineering

    Cho, S. B. & Tallón-Ballesteros, A. J., 2017, Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings. Ferrandez Vicente, J. M., Toledo Moreo, J., Alvarez-Sanchez, J. R., de la Paz Lopez, F. & Adeli, H. (eds.). Springer Verlag, 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

    5 Citations (Scopus)
  • 2016

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

    Jo, S. M. & Cho, S. B., 2016, Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. Martinez-Alvarez, F., Troncoso, A., Quintian, H. & Corchado, E. (eds.). Springer Verlag, 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

    1 Citation (Scopus)
  • 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. (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

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

    1 Citation (Scopus)
  • Analysis of an intention-response model inspired by brain nervous system for cognitive robot

    Yu, J. M. & Cho, S. B., 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Doya, K., Ikeda, K., Lee, M., Hirose, A., Ozawa, S. & Liu, D. (eds.). Springer Verlag, 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

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

    Kim, J. H., Kim, K. H. & Cho, S. B., 2016, 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

    4 Citations (Scopus)
  • 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. Koppen, M., Muda, A. K., Ma, K., Xue, B., Takagi, H. & Abraham, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 294-297 4 p. 7492824. (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

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

    1 Citation (Scopus)
  • 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. Koppen, M., Muda, A. K., Ma, K., Xue, B., Takagi, H. & Abraham, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 290-293 4 p. 7492823. (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

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

    3 Citations (Scopus)