- BigData . . . . 2 matches
* Interfaces (2010) - The Analytics Movement: Implications for Operations Research [http://pubsonline.informs.org/doi/abs/10.1287/inte.1100.0502?journalCode=inte pdf]
* Data Science, Predictive Analytics, and Big Data [http://onlinelibrary.wiley.com/doi/10.1111/jbl.12010/abstract JBL2013]
- IAI Lab. . . . . 11 matches
* '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the '''Die-casting''' Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
* '''Aekyung Kim''', Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "'''Imbalanced Classification''' of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles",''International Journal of Computer Integrated Manufacturing'', Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full pdf]
* '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead '''photovoltaic power forecasting''' using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, '''IF=15.9, 3.3%(2/46)''', GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
* '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for '''Predicting Photovoltaic Power Generation''' Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
* Sanghyun Choo, '''Hoonseok Park''', Sangyeon Kim, '''Donghyun Park''', Jae-Yoon Jung, Sangwon Lee, and Chang S. Nam*, "Effectiveness of Multi-Task Deep Learning Framework for EEG-based '''Emotion and Context Recognition'''", ''Expert Systems with Applications'', vol. 227, Oct 2023, 120348. (SCIE, IF=8.5, __6.4%__, OR/MS) (Ack: EEG, etc.)[https://doi.org/10.1016/j.eswa.2023.120348 link] [https://www.sciencedirect.com/science/article/pii/S0957417423008503/pdfft?md5=93b0a87825134dc63c2de87b7dd63950&pid=1-s2.0-S0957417423008503-main.pdf pdf]
* '''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) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
* '''Young-Suk Han''' and Jae-Yoon Jung*, "A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments", ''Journal of Marine Science and Engineering'', 12(12), Dec 2024, 2252. (SCIE, IF=2.7, 22%(6/25), MRE) (Ack: DAPA, AIC) [https://doi.org/10.3390/jmse12122252 doi] [https://www.mdpi.com/2077-1312/12/12/2252/pdf?version=1733749085 pdf]
- JYJung . . . . 9 matches
1. '''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) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
1. '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the '''Die-casting''' Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
1. '''Aekyung Kim''', Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "'''Imbalanced Classification''' of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles", International Journal of Computer Integrated Manufacturing, Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full pdf]
1. '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead '''photovoltaic power forecasting''' using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, __'''IF=15.9, 3.3%(2/46)'''__, GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
1. '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for '''Predicting Photovoltaic Power Generation''' Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
1. Sanghyun Choo, '''Hoonseok Park''', Sangyeon Kim, '''Donghyun Park''', Jae-Yoon Jung, Sangwon Lee, and Chang S. Nam*, "Effectiveness of Multi-Task Deep Learning Framework for EEG-based '''Emotion and Context Recognition'''", ''Expert Systems with Applications'', vol. 227, Oct 2023, 120348. (SCIE, IF=8.5, __6.4%__, OR/MS) (Ack: EEG, etc.)[https://doi.org/10.1016/j.eswa.2023.120348 link] [https://www.sciencedirect.com/science/article/pii/S0957417423008503/pdfft?md5=93b0a87825134dc63c2de87b7dd63950&pid=1-s2.0-S0957417423008503-main.pdf pdf]
- Publications . . . . 24 matches
1. '''Young-Suk Han''' and Jae-Yoon Jung, "Imitation learning of job dispatching data combining classification and ranking", ''Computers & Industrial Engineering'', accepted 250606. (SCIE, IF=6.7, 11.5%, CS/IA) [doi] [pdf]
1. '''Donghyun Park''', Jae-Yoon Jung*, and Beom Jin Park, "Estimation of Ship Operational Performance Degradation Using Fuel Oil Consumption Prediction Models Based on Deep Neural Networks with Shortcut Connection", ''International Journal of Naval Architecture and Ocean Engineering'', online published 250529. (SCIE, IF=2.3, 30%, Marine) (Ack: Ship, AIC) [https://doi.org/10.1016/j.ijnaoe.2025.100666 doi] [pdf]
1. '''Yu-Ri Han''', '''Donghyun Park''', '''Young-Suk Han''', and Jae-Yoon Jung*, "Cost-efficient Active Transfer Learning Framework for Object Detection from Engineering Documents", ''Processes'', 13(6), 1657. (SCIE, IF=2.8, 47%) (Ack: Qual, AIC) [https://doi.org/10.3390/pr13061657 doi] [https://www.mdpi.com/2227-9717/13/6/1657/pdf?version=1748164201 pdf]
1. '''Minsik Kim, Young-Suk Han''', Josue Obregon, and Jae-Yoon Jung*, "Discovering Dispatching Rules in a Semiconductor Fab Using Interpretable Machine Learning", ''Lecture Notes in Mechanical Engineering (FAIM 2024)'', Dec 2024. (Scopus) (Ack: AIC) [https://doi.org/10.1007/978-3-031-74482-2_11 doi] [https://books.google.co.kr/books?hl=ko&lr=&id=Lac2EQAAQBAJ&oi=fnd&pg=PA91&dq=Discovering+dispatching+rules+in+a+semiconductor+fab+using+interpretable+machine+learning&ots=JCHJUVL9d5&sig=3G-FnjRZhsuw6T4I_j_HZiCCseA&redir_esc=y#v=onepage&q=Discovering%20dispatching%20rules%20in%20a%20semiconductor%20fab%20using%20interpretable%20machine%20learning&f=false pdf]
1. '''Young-Suk Han''' and Jae-Yoon Jung*, "A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments", ''Journal of Marine Science and Engineering'', 12(12), Dec 2024, 2252. (SCIE, IF=2.7, 22%(6/25), MRE) (Ack: DAPA, AIC) [https://doi.org/10.3390/jmse12122252 doi] [https://www.mdpi.com/2077-1312/12/12/2252/pdf?version=1733749085 pdf]
1. Sanghyun Choo, '''Hoonseok Park''', Jae-Yoon Jung, Kevin Flores, and Chang S. Nam*, "Improving Classification Performance of Motor Imagery BCI through EEG Data Augmentation with Conditional Generative Adversarial Networks", ''Neural Networks'', vol. 180, Dec 2024, 106665. (SCIE, IF=6.0, __'''10%'''__, Neuro) [https://doi.org/10.1016/j.neunet.2024.106665 doi]
1. '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead photovoltaic power forecasting using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, __'''IF=15.9, 3.3%(2/46)'''__, GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
1. '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the Die-casting Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
1. Sanghyun Choo, '''Hoonseok Park''', Sangyeon Kim, '''Donghyun Park''', Jae-Yoon Jung, Sangwon Lee, and Chang S. Nam*, "Effectiveness of Multi-Task Deep Learning Framework for EEG-based Emotion and Context Recognition", ''Expert Systems with Applications'', vol. 227, Oct 2023, 120348. (SCIE, IF=8.5, __'''6.4%(7/104)'''__, OR/MS) (Ack: EEG, etc.)[https://doi.org/10.1016/j.eswa.2023.120348 link] [https://www.sciencedirect.com/science/article/pii/S0957417423008503/pdfft?md5=93b0a87825134dc63c2de87b7dd63950&pid=1-s2.0-S0957417423008503-main.pdf pdf]
1. '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for Predicting Photovoltaic Power Generation Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
1. '''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%(7/84), OR/MS) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
1. '''Aekyung Kim''', '''Kyuhyup Oh''', Jae-Yoon Jung*, and Bohyun Kim, "Imbalanced Classification of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles", ''International Journal of Computer Integrated Manufacturing'', Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=1.949, 31%, OR/MS [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [https://www.tandfonline.com/doi/epdf/10.1080/0951192X.2017.1407447 pdf]
1. Hyeok-Jin Jeon, Sang-Chul Kim*, Jae-Ho Shin, Jae-Yoon Jung, Kang-Hyun Lee, Hee-Young Lee, and Ho-Joong Kim, "Risk of Severe Injury of Occupants Involved in Frontal Crashes of Cab-over-type Trucks", Traffic Injury Prevention , Vol. 18, No. 8, Dec 2017, pp.839-844. [http://www.tandfonline.com/doi/abs/10.1080/15389588.2017.1315413 link] [http://www.tandfonline.com/eprint/YFGNpYDBiRCjIfUYRbsb/full pdf]
1. '''Kwanho Kim''', '''Kyuhyup Oh''', Yeong Kyu Lee, SungHo Kim, and Jae-Yoon Jung*, "An Analysis on Movement Patterns between Zones Using Smart Card Data in Subway Networks", International Journal of Geographical Information Science, Vol. 28, No. 9, Sep 2014, pp. 1781-1801. [http://www.tandfonline.com/doi/abs/10.1080/13658816.2014.898768 link] [http://web.khu.ac.kr/~jung/paper/Jung_IJ_2014_IJGIS.pdf pdf]
1. KwangSup Shin, Myung-Ju Park, and Jae-Yoon Jung*, "Dynamic Task Assignment and Resource Management in Cloud Services Using Bargaining Solutions", Concurrency and Computation: Practice and Experience, Vol. 26, No. 7, May 2014, pp. 1432-1452. [http://onlinelibrary.wiley.com/doi/10.1002/cpe.3124/abstract link] [http://web.khu.ac.kr/~jung/paper/Jung_IJ_2014_CPE.pdf pdf]
Found 4 matching pages out of 185 total pages
|