SCI/SSCI Journals

  1. Han-Gyu Kim, Gil-Jin Jang, Ho-Jin Choi, Myungeun Lim, and Jaehun Choi, “Medical examination data prediction with missing information imputation based on recurrent neural networks,” International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 19, No. 3, pp. 202-220, December 2017. (ACK EKP) [SCIE, IF 0.772] [ISSN 1748-5673]
  2. Han-Gyu Kim, Gil-Jin Jang, Jeong-Sik Park, Yung-Hwan Oh, and Ho-Jin Choi, “Single channel blind source separation based on probabilistic matrix factorisation,” Electronics Letters, Vol. 53, Issue 21, pp. 1429-1431, 12 October 2017. (ACK Exobrain) [SCIE, IF 1.155] [ISSN 0013-5194]
  3. Zae Myung Kim, Hyungrai Oh, Han-Gyu Kim, Chae-Gyun Lim, Kyo-Joong Oh, and Ho-Jin Choi, “Modeling long-term human activeness using recurrent neural networks for biometric data,” BMC Medical Informatics and Decision Making, Vol. 17, Article number: 57, Published: 18 May 2017. (ACK NCRC) [SCIE, IF 2.042] [ISSN 1472-6947]
  4. Young-Seob Jeong, Sang-Hun Lee, Gahgene Gweon, and Ho-Jin Choi, “Discovery of topic flows of authors,” Journal of Supercomputing, Published online: 06 May 2017. (ACK Exobrain) [SCI, IF 1.088] [ISSN 0920-8542]
    Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, and U Kang, “MTP: discovering high quality partitions in real world graphs,” World Wide Web, Vol. 20, Issue 3, pp. 491-514, May 2017. DOI:10.1007/s11280-016-0393-1 [SCIE, IF 1.539] [ISSN 1386-145X]

International Conferences

  1. Young-Seob Jeong and Ho-Jin Choi, “Entity Sentiment Analysis Using Topic Model,” Proc. of the 18th International Symposium on Advanced Intelligent Systems (ISIS2017), pp. 259-266, Daegu, Korea, October 11-14, 2017.
  2. ByungSoo Ko, Han-Gyu Kim, and Ho-Jin Choi, “Controlled Dropout: a Different Dropout for Improving Training Speed on Deep Neural Network,” Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (SMC2017), pp. 972-977, Banff, Canada, October 5-8, 2017. [ACK KMIPA]
  3. Chae-Gyun Lim, Zae Myung Kim, and Ho-Jin Choi, “Developing a Mobile Wellness Management System for Healthy Lifestyle by Analyzing Daily Living Activities,” Proc. of the 16th World Congress on Medical and Health Informatics (Medinfo2017), pp. 146-150, Hangzhou, China, August 21-25, 2017. [ACK EKP]
  4. Kyo-Joong Oh, DongKun Lee, ByungSoo Ko, Jonghwan Hyeon, and Ho-Jin Choi, “Empathy Bot - Conversational Service for Psychiatric Counseling with Chat Assistant,” Proc. of the 16th World Congress on Medical and Health Informatics (Medinfo 2017), pp. 662-665, Hangzhou, China, August 21-25, 2017. [ACK Exobrain]
  5. Seung-Ho Han, Han-Gyu Kim, and Ho-Jin Choi, “Design of Rehabilitation Treatment Coach Robot,” Proc. of the 16th World Congress on Medical and Health Informatics (Medinfo2017), p. 1226, Hangzhou, China, August 21-25, 2017. [ACK EKP]
  6. YouJin Kim, Han-Gyu Kim, and Ho-Jin Choi, “Avoiding Overfitting in Deep Neural Networks that Generates Clinical Prognoses from General Blood Test Results,” Proc. of the 16th World Congress on Medical and Health Informatics (Medinfo2017), p. 1274, Hangzhou, China, August 21-25, 2017. [ACK EKP]
  7. Dongkeon Lee, Seung-Ho Han, Kyo-Joong Oh, and Ho-Jin Choi, “A Temporal Community Contexts Based Funny Joke Generation,” Proc. of the 2nd International Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE2017) in conjunction with the 18th IEEE International Conference on Mobile Data Management (MDM2017), pp. 360-365, Daejeon, Korea, May 29-June 1, 2017. [ACK Exobrain]
  8. Chae-Gyun Lim and Ho-Jin Choi, “Efficient Temporal Information Extraction from Korean Documents,” Proc. of the 2nd International Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE2017) in conjunction with the 18th IEEE MDM2017, pp. 366-370, Daejeon, Korea, May 29-June 1, 2017. [ACK Exobrain]
  9. Kyo-Joong Oh, DongKun Lee, ByungSoo Ko, and Ho-Jin Choi, “A Chatbot for Psychiatric Counseling in Mental Health Care Service Based on Emotional Dialogue Analysis and Sentence Generation,” Proc. of the 2nd International Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE2017) in conjunction with the 18th IEEE MDM2017, pp. 371-376, Daejeon, Korea, May 29-June 1, 2017. [ACK Exobrain]
  10. Seung-Ho Han, Han-Gyu Kim, and Ho-Jin Choi, “A Novel Concept of the Rehabilitation Training Coach Robot for Patients with Disability,” Proc. of the 2nd International Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE2017) in conjunction with the 18th IEEE MDM2017, pp. 376-381, Daejeon, Korea, May 29-June 1, 2017. [ACK NCRC] [ACK Exobrain]
  11. Jonghwan Hyeon, Kap No Lee, Byung Doo Lee, and Ho-Jin Choi, “Automating Papanicolaou Test Using Deep Convolutional Activation Feature,” Proc. of the 2nd International Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE2017) in conjunction with the 18th IEEE MDM2017, pp. 382-385, Daejeon, Korea, May 29-June 1, 2017. [ACK EKP]
  12. YouJin Kim, Han-Gyu Kim, and Ho-Jin Choi, “Model Regularization of Deep Neural Networks for Robust Clinical Opinion Generation from General Blood Test Results,” Proc. of the 2nd International Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE2017) in conjunction with the 18th IEEE MDM2017, pp. 386-391, Daejeon, Korea, May 29-June 1, 2017. [ACK EKP]
  13. Ahmed Abdelli and Ho-Jin Choi, “A Four-Frames Differencing Technique for Moving Objects Detection in Wide Area Surveillance,” Proc. of the 4th IEEE International Conference on Big Data and Smart Computing (BigComp2017), pp. 210-214, Jeju, Korea, February 13-16, 2017. [ACK EKP] [Best Paper Award]
  14. Han-Gyu Kim, Gil-Jin Jang, Ho-Jin Choi, Minho Kim, Young-Won Kim, and Jaehun Choi, “Recurrent Neural Networks with Missing Information Imputation for Medical Examination Data Prediction,” Proc. of the 4th IEEE International Conference on Big Data and Smart Computing (BigComp2017), pp. 317-323, Jeju, Korea, February 13-16, 2017. [ACK NCRC][Poster]
  15. ByungSoo Ko, Han-Gyu Kim, Kyo-Joong Oh, and Ho-Jin Choi, “Controlled Dropout: A Different Approach to Using Dropout on Deep Neural Network,” Proc. of the 4th IEEE International Conference on Big Data and Smart Computing (BigComp2017), pp. 358-362, Jeju, Korea, February 13-16, 2017. [ACK RED&B]
  16. YouJin Kim, Han-Gyu Kim, Jonghwan Hyeon, and Ho-Jin Choi, “Clinical Opinions Generation from General Blood Test Results Using Deep Neural Network with Principle Component Analysis and Regularization,” Proc. of the 2nd International Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare2017) in conjunction with the IEEE BigComp2017, pp. 386-389, Jeju, Korea, February 13, 2017. [ACK EKP]
  17. Jonghwan Hyeon, Ho-Jin Choi, Byung Doo Lee, and Kap No Lee, “Diagnosing Cervical Cell Images Using Pre-trained Convolutional Neural Network as Feature Extractor,” Proc. of the 2nd International Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare2017) in conjunction with the IEEE BigComp2017, pp. 390-393, Jeju, Korea, February 13, 2017. [ACK EKP]
  18. Seugn-Ho Han, Han-Gyu Kim, and Ho-Jin Choi, “Rehabilitation Posture Correction Using Deep Neural Network,” Proc. of the 2nd International Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare2017) in conjunction with the IEEE BigComp2017, pp. 400-402, Jeju, Korea, February 13, 2017. [ACK NCRC]
  19. ByungSoo Ko, Ho-Jin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, and Chang D. Yoo, “Neural Network-based Autonomous Navigation for a Homecare Mobile Robot,” Proc. of the 2nd International Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare2017) in conjunction with the IEEE BigComp2017, pp. 403-406, Jeju, Korea, February 13, 2017. [ACK NCRC]
  20. Han-Gyu Kim, Seung-Ho Han, and Ho-Jin Choi, “Discriminative Restricted Boltzmann Machine for Emergency Detection on Healthcare Robot,” Proc. of the 2nd International Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare2017) in conjunction with the IEEE BigComp2017, pp. 407-409, Jeju, Korea, February 13, 2017. [ACK NCRC]
  21. Chae-Gyun Lim, Zae Myung Kim, and Ho-Jin Choi, “Context-based Healthy Lifestyle Recommendation for Enhancing User’s Wellness,” Proc. of the 2nd International Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare2017) in conjunction with the IEEE BigComp2017, pp. 418-421, Jeju, Korea, February 13, 2017. [ACK NCRC]
  22. Kyo-Joong Oh, Dongkeon Lee, Ho-Jin Choi, and Jeong Hur, “A Model of Korean Sentence Similairty Measurement Using Sense-based Morpheme Embedding and RNN Sentence Encoding,” Proc. of the 3rd Exobrain Workshop–Natural Language Question Answering for Human-Machine Knowledge Communication (Exobrain2017) in conjunction with the IEEE BigComp2017, pp. 430-433, Jeju, Korea, February 13, 2017. [ACK Exobrain]
  23. Zae Myung Kim, Suin Kim, Alice Oh, and Ho-Jin Choi, “An Adaptive Vocabulary Learning Application through Modeling Learner’s Linguistic Proficiency and Interests,” Proc. of the 3rd Exobrain Workshop–Natural Language Question Answering for Human-Machine Knowledge Communication (Exobrain2017) in conjunction with the IEEE BigComp2017, pp. 434-436, Jeju, Korea, February 13, 2017. [ACK Exobrain]
  24. Dongkeon Lee, Kyo-Joong Oh, and Ho-Jin Choi, “The ChatBot Feels You – A Counseling Service Using Emotional Response Generation,” Proc. of the 3rd Exobrain Workshop–Natural Language Question Answering for Human-Machine Knowledge Communication (Exobrain2017) in conjunction with the IEEE BigComp2017, pp. 437-440, Jeju, Korea, February 13, 2017. [ACK Exobrain]

Domestic Conferences

  1. 고병수, LiZhun, 최호진, "CNN-LSTM 모델을 이용한 도로 CCTV 영상의 강수량 판별 방법," 2017 한국소프트웨어종합학술대회(KSC2017), 부산, 2017.
  2. 임채균, 정영섭, 최호진, "한국어 문서 내 상대적 시간관계 분류를 위한 딥러닝 기반 모델 설계," 2017 한국소프트웨어종합학술대회(KSC2017), 부산, 2017.
  3. 오교중, 박찬용, 이동건, 임채균, 최호진, "RNN 문장 임베딩과 ELM 알고리즘을 이용한 금융 도메인 고객상담 대화 도메인 및 화행분류 방법," 제29회 한글 및 한국어정보처리학술대회 (HCLT 2017), 대구, 2017.
  4. 임채균, 정영섭, 이영준, 오교중, 최호진, "한국어 상대시간관계 추출을 위한 LSTM 기반 모델 설계," 제29회 한글 및 한국어정보처리학술대회 (HCLT 2017), 대구, 2017년 10월.
  5. 고병수, 김한규, 한승호, 최호진, “순환적 합성곱 신경망을 이용한 CCTV 영상 기반 날씨정보 생산 방법,” 한국정보과학회 한국컴퓨터종합학술대회 2017, 라마다 호텔, Jun. 18-20, 2017.
  6. 임채균, 정영섭, 최호진, “일상생활 활동 모델링 기반의 주간 생활패턴 예측 기법,” 한국정보과학회 한국컴퓨터종합학술대회 2017, 라마다 호텔, Jun. 18-20, 2017. [ACK EKP]
  7. 오교중, 이동건, 권성태, 홍사욱, 최호진, “대화 문장의 기계학습 기반 개체명 경계 인식 및 미등록어 개체명 사전 확장에 관한 연구,” 한국정보과학회 한국컴퓨터종합학술대회 2017, 라마다 호텔, Jun. 18-20, 2017. [ACK Exobrain]