Josue Obregon
Cited by
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Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy
J Obregon, YR Han, CW Ho, D Mouraliraman, CW Lee, JY Jung
Journal of Energy Storage 60, 106680, 2023
RuleCOSI: Combination and simplification of production rules from boosted decision trees for imbalanced classification
J Obregon, A Kim, JY Jung
Expert Systems with Applications 126, 64-82, 2019
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process
J Obregon, J Hong, JY Jung
Journal of Manufacturing Systems 60, 392-405, 2021
Constructing decision trees from process logs for performer recommendation
A Kim, J Obregon, JY Jung
Business Process Management Workshops: BPM 2013 International Workshops …, 2014
Decision mining in a broader context: An overview of the current landscape and future directions
J De Smedt, SKLM vanden Broucke, J Obregon, A Kim, JY Jung, ...
Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017
RuleCOSI+: Rule extraction for interpreting classification tree ensembles
J Obregon, JY Jung
Information Fusion 89, 355-381, 2023
InfoFlow: Mining information flow based on user community in social networking services
J Obregon, M Song, JY Jung
IEEE Access 7, 48024-48036, 2019
Analyzing information flow and context for facebook fan pages
K Kim, J Obregon, JY Jung
IEICE TRANSACTIONS on Information and Systems 97 (4), 811-814, 2014
DTMiner: A tool for decision making based on historical process data
J Obregon, A Kim, JY Jung
Asia Pacific Business Process Management: First Asia Pacific Conference, AP …, 2013
PRANAS: A process analytics system based on process warehouse and cube for supply chain management
A Kim, J Obregon, JY Jung
Applied Sciences 10 (10), 3521, 2020
Rule-based visualization of faulty process conditions in the die-casting manufacturing
J Obregon, JY Jung
Journal of Intelligent Manufacturing 35 (2), 521-537, 2024
Explanation of ensemble models
J Obregon, JY Jung
Human-Centered Artificial Intelligence, 51-72, 2022
Interpretable machine learning for fault detection using manufacturing data
J Obregon, D Park, J Hong, JY Jung
대한산업공학회 추계학술대회 논문집, 110-133, 2019
Discovering users-centric hierarchical process models in social networking services
J Obregon, JY Jung
대한산업공학회 추계학술대회 논문집, 480-489, 2014
Multi-step photovoltaic power forecasting using transformer and recurrent neural networks
J Kim, J Obregon, H Park, JY Jung
Renewable and Sustainable Energy Reviews 200, 114479, 2024
Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
M Nanthagopal, D Mouraliraman, YR Han, CW Ho, J Obregon, JY Jung, ...
Nanomaterials 13 (22), 2963, 2023
Special Issue on “Application of Big Data Analysis and Advanced Analytics in Sustainable Production Process”
S Hur, JY Jung, J Obregon
Processes 10 (4), 670, 2022
Extracting Simplified Rules from Ensemble Decision Trees
J Obregon, A Kim, JY Jung
한국 EA 학회 학술발표논문집, 277-282, 2018
Decision Points Analysis in Business Process using Process Mining: An Exportation Consultancy Service Company Case: An Exportation Consultancy Service Company Case
J Obregon, B Carrera, JY Jung
한국경영과학회 학술대회논문집, 4243-4254, 2016
Decision Mining in Business Processes: A Brief Survey: A Brief Survey
J Obregon, A Kim, JY Jung, J Vanthienen
대한산업공학회 춘계공동학술대회 논문집, 3917-3931, 2016
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