Digital Library
Search: "[ keyword: Artificial intelligence ]" (25)
Token-Based Classification and Dataset Construction for Detecting Modified Profanity
Sungmin Ko, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 13, No. 4, pp. 181-188,
Apr.
2024
https://doi.org/10.3745/TKIPS.2024.13.4.181
Keywords: Artificial intelligence, Natural Language Processing, named entity recognition, Profanity, ChatGPT
Keywords: Artificial intelligence, Natural Language Processing, named entity recognition, Profanity, ChatGPT
Efficient Emotion Classification Method Based on Multimodal Approach Using Limited Speech and Text Data
Mirr Shin, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 13, No. 4, pp. 174-180,
Apr.
2024
https://doi.org/10.3745/TKIPS.2024.13.4.174
Keywords: Artificial intelligence, Natural Language Processing, speech recognition, Multimodal, Emotion classification
Keywords: Artificial intelligence, Natural Language Processing, speech recognition, Multimodal, Emotion classification
Improving the Classification Accuracy Using Unlabeled Data: A Naive Bayesian Case
Chang Hwan Lee The KIPS Transactions:PartB ,
Vol. 13, No. 4, pp. 457-462,
Aug.
2006
10.3745/KIPSTB.2006.13.4.457
Research on Intelligent Game Character through Performance Enhancements of Physics Engine in Computer Games
Jong Hwa Choi , Dong Kyoo Shin , Dong Il Shin The KIPS Transactions:PartB ,
Vol. 13, No. 1, pp. 15-20,
Feb.
2006
10.3745/KIPSTB.2006.13.1.15
TAGS: Text Augmentation with Generation and Selection
Kim Kyung Min, Dong Hwan Kim, Seongung Jo, Heung-Seon Oh, Myeong-Ha Hwang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 455-460,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.455
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation
Detecting Common Weakness Enumeration(CWE) Based on the Transfer Learning of CodeBERT Model
Chansol Park, So Young Moon, R. Young Chul Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 431-436,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.431
Keywords: software engineering, Code Visualization, Code Complexity, Code Weakness, Artificial intelligence
Keywords: software engineering, Code Visualization, Code Complexity, Code Weakness, Artificial intelligence
An Intelligent Characters for Fighting Action Games Using Genetic Algorithms
Myun Sub Lee , Byeong Heon Cho , Yeong Rak Seong , Sung Hoon Jung , Ha Ryoung Oh The KIPS Transactions:PartB ,
Vol. 12, No. 3, pp. 329-336,
Jun.
2005
10.3745/KIPSTB.2005.12.3.329
SAAnnot-C3Pap: Ground Truth Collection Technique of Playing Posture Using Semi Automatic Annotation Method
So-Hyun Park, Seo-Yeon Kim, Young-Ho Park KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 10, pp. 409-418,
Oct.
2022
https://doi.org/10.3745/KTSDE.2022.11.10.409
Keywords: Playing Posture, Ground-Truth, Semi-Automatic Annotation Method, Artificial intelligence, computer vision
Keywords: Playing Posture, Ground-Truth, Semi-Automatic Annotation Method, Artificial intelligence, computer vision
Forest Change Detection Service Based on Artificial Intelligence Learning Data
Hankun Chung, Jong-in Kim, Sun Young Ko, Seunggi Chai, Youngtae Shin KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 8, pp. 347-354,
Aug.
2022
https://doi.org/10.3745/KTSDE.2022.11.8.347
Keywords: Artificial intelligence, Learning Data, Forest Tree Species, Forest Change Detection, Aerial Photographs
Keywords: Artificial intelligence, Learning Data, Forest Tree Species, Forest Change Detection, Aerial Photographs
Explainable Photovoltaic Power Forecasting Scheme Using BiLSTM
Sungwoo Park, Seungmin Jung, Jaeuk Moon, Eenjun Hwang KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 8, pp. 339-346,
Aug.
2022
https://doi.org/10.3745/KTSDE.2022.11.8.339
Keywords: Smart Grid, Photovoltaic Power Forecasting, Deep Learning, Explainable Artificial Intelligence
Keywords: Smart Grid, Photovoltaic Power Forecasting, Deep Learning, Explainable Artificial Intelligence