Honors and Awards

  1. Guest Editor of Special issue “Application of Big Data and Advanced Analytics in Sustainable Production Process” of Processes MDPI journal, 2020.
  2. Grand Award (with Berny Carrera) in the 3rd Asia Pacific Conference on Business Process Management (AP-BPM 2015) Process Mining Case Competition, 2015.
  3. Best Paper Award, Master’s Thesis Competition, Korean Society of Industrial Engineers Autumn Conference, 2014.
  4. Best Paper Award (with Aekyung Kim and Jae-Yoon Jung), The 1st Asia Pacific Conference on Business Process Management (AP-BPM 2013), 2013.

Working Papers

  1. Josue Obregon, Jihoon Hong, Jae-Yoon Jung*, “Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process”, submitted to Journal of Manufacturing Systems.
  2. Josue Obregon and Jae-Yoon Jung. RuleCOSI++: Machine learning interpretability for large tree ensembles. To be submitted to IEEE Transactiosn on Pattern Analysis and Machine Intelligence journal.
  3. Josue Obregon and Jae-Yoon Jung, “RuleLat: A Rule-based Model Visualization Tool for Machine Learning Interpretability”, To be subitted (target journal is not decided).
  4. Josue Obregon, Yuri Han and Jae-Yoon Jung, “Predicting RUL (Remaining Useful Lifetime) of EV batteries Using Machine Learning Interpretation Methods”, To be subitted to Processes journal.

International Journal

  1. Aekyung Kim, Josue Obregon, and Jae-Yoon Jung*, “PRANAS: A Process Analytics System Using Process Warehouse and Cube”, Applied Sciences, Vol. 10, No. 10, May 2020, 3521. (SCIE, IF=2.217, 45%, AP)
  2. Josue Obregon, Aekyung Kim, and Jae-Yoon Jung*, “RuleCOSI: Combination and Simplification of Production Rules from Boosted Decision Trees for Imbalanced Classification”, Expert Systems with Applications, Vol. 126, Jul 2019, pp. 64-82. (SCIE, IF=4.292, 8%, OR/MS) 
  3. Josue Obregon, Minseok Song, and Jae-Yoon Jung*, InfoFlow: Mining Information Flow Based on User Community in Social Networking Services”, IEEE Access, Vol. 7, Apr 2019, pp. 48024-48036. (SCIE, IF=4.098, 15%, CS/IS) 
  4. Kwanho Kim, Josue Obregon, and Jae-Yoon Jung*, “Analyzing Information Flow and Context for Facebook Fan Pages”, IEICE Transactions on Information and Systems, Vol. 97-D, No. 4, Apr 2014, pp. 811-814.

International Conference

  1. Josue Obregon and Jae-Yoon Jung, “RuleLat: A Rule-based Model Visualization Tool for Machine Learning Interpretability”, In Proc. of the 12th International Conference on Internet (ICONI 2020), Dec. 13-16. 2020.
  2. Josue Obregon, Aekyung Kim, and Jae-Yoon Jung, “Extracting Simplified Rules from Ensemble Decision Trees”, In Proc. of International Conference on e-Government Enterprise Architecture and Cloud Computing 2018 (eGEAC 2018), Dec 11-12, 2018.
  3. Josue Obregon, Aekyung Kim, Hoonseok Park, and Jae-Yoon Jung, “Identifying major defect causes from manufacturing data using decision rules: A case study”, Poster in INFORMS Business Analytics & Operations Research (Analytics 2018), Apr 15-17, 2018.
  4. Johannes De Smedt, Seppe Vanden Broucke, Josue Obregon, Aekyung Kim, Jae-Yoon Jung and Jan Vanthienen, “Decision Mining in a Broader Context: A Survey on the Current Landscape and Future Directions”, In Proc. of the 4th Int. Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’ 2016) in conjunction with BPM 2016, Sep 2016.
  5. Josue Obregon and Jae-Yoon Jung, “Merging Production Rules from Ensemble Decision Trees”, In Proc. of the 5th International Conference on Engineering & Technology, Computer, Basic & Applied Sciences (ECBA 2016), June 27-28, 2016.
  6. Josue Obregon and Berny Carrera, “Decision Points Analysis in Business Process Using Process Mining”, Process Mining Case Competition of AP-BPM 2015, Jun 2015. (Grand Award)
  7. Josue Obregon, Aekyung Kim, and Jae-Yoon Jung, “DTMiner: A Tool for Decision Making Based on Historical Process Data”, In Proc. of the 1st Asia Pacific Conference on Business Process Management (AP-BPM 2013), Aug 2013. (Best Paper Award)
  8. Aekyung Kim, Josue Obregon, and Jae-Yoon Jung, “Constructing Decision Trees from Process Logs for Performer Recommendation”, In Proc. of the 1st Int. Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’13) in conjunction with BPM 2013, Aug 2013.

Domestic Conference

  1. Josue Obregon, Donghyun Park, Jihoon Hong, Jae-Yoon Jung, “Interpretable machine learning for fault detection in manufacturing data”, 대한산업공학회 추계학술대회, 2019.11.8.
  2. 박훈석, 오규협, 김애경, Berny Alfonso, Josue Obregon, 정재윤, 전찬모, 이주현, 김보현, “스마트 공장 고도화를 위한 제조 빅데이터 분석 라이브러리 개발”, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2018.04.06.
  3. Josue Obregon, Aekyung Kim, Jae-Yoon Jung, Jan Vanthienen, “Decision Mining in Business Processes: A Brief Survey”, 한국시뮬레이션학회 춘계통합학술대회, 2016.04.14.
  4. Josue Obregon, Berny Carrera, Jae-Yoon Jung, “Decision Points Analysis in Business Process Using Process Mining: An Exportation Consultancy Service Company Case”, 대한산업공학회 춘계통합학술대회, 2016.04.14.
  5. Josue Obregon, Jae-Yoon Jung, “Discovering Users-Centric Hierarchical Process Models in Social Networking Services”, 대한산업공학회 추계학술대회, 2014.11.22.(석사논문경진대회 최우수논문상)