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Journal Articles
- 2024
[j22]Jia-Wei Chang, Ming-Hung Chen, Hao-Shang Ma
, Hao-Lan Liu:
Human movement science-informed multi-task spatio temporal graph convolutional networks for fitness action recognition and evaluation. Appl. Soft Comput. 164: 111963 (2024)- [j21]Jia-Wei Chang, Nigel Lin, Qingguo Zhou, Yi-Zeng Hsieh, Mirjana Ivanovic:
Guest editorial: Deep learning techniques in intelligent internet of things and 5G communication networks. Comput. Sci. Inf. Syst. 21(2): i-v (2024) - [j20]Jia-Wei Chang, Jason C. Hung, Ting-Hong Chu:
Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks. Neural Comput. Appl. 36(5): 2141-2153 (2024) - 2022
- [j19]Jia-Wei Chang, Neil Yuwen Yen, Jason C. Hung:
Design of a NLP-empowered finance fraud awareness model: the anti-fraud chatbot for fraud detection and fraud classification as an instance. J. Ambient Intell. Humaniz. Comput. 13(10): 4663-4679 (2022) - [j18]Ming-Che Lee, Jia-Wei Chang, Sheng-Cheng Yeh, Tsorng-Lin Chia, Jie-Shan Liao, Xu-Ming Chen:
Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies. Neural Comput. Appl. 34(16): 13267-13279 (2022) - [j17]Ming-Che Lee, Sheng-Cheng Yeh, Jia-Wei Chang, Zhen-Yi Chen:
Research on Chinese Speech Emotion Recognition Based on Deep Neural Network and Acoustic Features. Sensors 22(13): 4744 (2022) - [j16]Jia-Wei Chang:
Enabling progressive system integration for AIoT and speech-based HCI through semantic-aware computing. J. Supercomput. 78(3): 3288-3324 (2022) - 2021
- [j15]Jason C. Hung, Jia-Wei Chang:
Multi-level transfer learning for improving the performance of deep neural networks: Theory and practice from the tasks of facial emotion recognition and named entity recognition. Appl. Soft Comput. 109: 107491 (2021) - [j14]Jia-Wei Chang, Jason C. Hung, Kuan-Cheng Lin:
Singability-enhanced lyric generator with music style transfer. Comput. Commun. 168: 33-53 (2021) - [j13]Ming-Che Lee, Jia-Wei Chang, Jason C. Hung, Bae-Ling Chen:
Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction. Comput. Sci. Inf. Syst. 18(2): 401-418 (2021) - [j12]Jia-Wei Chang, Ching-Yi Chiou, Jia-Yi Liao, Ying-Kai Hung, Chien-Che Huang, Kuan-Cheng Lin, Ying-Hung Pu:
Music recommender using deep embedding-based features and behavior-based reinforcement learning. Multim. Tools Appl. 80(26): 34037-34064 (2021) - 2020
- [j11]Po-Sheng Chiu, Jia-Wei Chang, Ming-Che Lee, Ching-Hui Chen, Da-Sheng Lee:
Enabling Intelligent Environment by the Design of Emotionally Aware Virtual Assistant: A Case of Smart Campus. IEEE Access 8: 62032-62041 (2020) - [j10]Ming-Che Lee, Jia-Wei Chang, Tzone-I Wang, Zi Feng Huang:
Using Variation Theory as a Guiding Principle in an OOP Assisted Syntax Correction Learning System. Int. J. Emerg. Technol. Learn. 15(14): 35-52 (2020) - [j9]Abdul Shahid, Muhammad Tanvir Afzal, Moloud Abdar, Mohammad Ehsan Basiri, Xujuan Zhou, Neil Y. Yen, Jia-Wei Chang:
Insights into relevant knowledge extraction techniques: a comprehensive review. J. Supercomput. 76(3): 1695-1733 (2020) - [j8]Neil Y. Yen, Jia-Wei Chang, Jia-Yi Liao, You-Ming Yong:
Analysis of interpolation algorithms for the missing values in IoT time series: a case of air quality in Taiwan. J. Supercomput. 76(8): 6475-6500 (2020) - 2018
- [j7]Ping-Wei Soh, Jia-Wei Chang, Jen-Wei Huang:
Adaptive Deep Learning-Based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations. IEEE Access 6: 38186-38199 (2018) - [j6]Jen-Wei Huang, Chia-Wen Chiang, Jia-Wei Chang:
Email security level classification of imbalanced data using artificial neural network: The real case in a world-leading enterprise. Eng. Appl. Artif. Intell. 75: 11-21 (2018) - 2017
- [j5]Ming-Che Lee, Sheng Yu Chiu, Jia-Wei Chang:
A Deep Convolutional Neural Network based Chinese Menu Recognition App. Inf. Process. Lett. 128: 14-20 (2017) - 2016
- [j4]Jia-Wei Chang, Ming-Che Lee, Tzone I. Wang:
Integrating a semantic-based retrieval agent into case-based reasoning systems: A case study of an online bookstore. Comput. Ind. 78: 29-42 (2016) - 2015
- [j3]Chien-Yuan Su, Jia-Wei Chang, Ti Kai Chiu, Tung-Cheng Hsieh:
A Cluster-based Personalized Item Recommended Approach on the Educational Assessment System. Int. J. Emerg. Technol. Learn. 10(5): 52-58 (2015) - 2013
- [j2]Hung-Yan Gu, Jia-Wei Chang:
Improving of Segmental LMR-Mapping Based Voice Conversion Method. Int. J. Comput. Linguistics Chin. Lang. Process. 18(4) (2013) - 2009
- [j1]Chuan-Yu Chang, ChunHsi Li, Jia-Wei Chang, MuDer Jeng:
An unsupervised neural network approach for automatic semiconductor wafer defect inspection. Expert Syst. Appl. 36(1): 950-958 (2009)
Conference and Workshop Papers
- 2022
- [c12]Jia-Wei Chang, Zhong-Yun Hu:
A Study on Using Different Audio Lengths in Transfer Learning for Improving Chainsaw Sound Recognition. ROCLING 2022: 67-74 - 2021
- [c11]Jia-Yi Liao, Ya-Hsuan Lin, Kuan-Cheng Lin, Jia-Wei Chang:
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics. ROCLING 2021: 13-17 - 2020
- [c10]Ming-Che Lee, Jie-Shan Liao, Sheng-Cheng Yeh, Jia-Wei Chang:
Forecasting the Short-term Price Trend of Taiwan Stocks with Deep Neural Network. IC4E 2020: 296-299 - 2019
- [c9]Hsiu-Yi Wang, Jia-Wei Chang, Jen-Wei Huang:
User Intention-Based Document Summarization on Heterogeneous Sentence Networks. DASFAA (2) 2019: 572-587 - 2017
- [c8]Chih-Chao Hsu, Tzone-I Wang, Ke-Jie Lin, Jia-Wei Chang:
The Effects of Fusing 635 Brainstorming and C-Sketch Methods on the Creativity of Industrial Design. ICALT 2017: 189-193 - [c7]Ming-Che Lee, Sheng-Cheng Yeh, Sheng Yu Chiu, Jia-Wei Chang:
A Deep Convolutional Neural Network Based Virtual Elderly Companion Agent. MMSys 2017: 235-238 - 2016
- [c6]Jia-Wei Chang, Tzone-I Wang, Ming-Che Lee, Chien-Yuan Su, Po-Chin Chang:
Impact of Using Creative Thinking Skills and Open Data on Programming Design in a Computer-Supported Collaborative Learning Environment. ICALT 2016: 396-400 - 2013
- [c5]Hung-Yan Gu, Jia-Wei Chang:
A voice conversion method mapping segmented frames with linear multivariate regression. ICMLC 2013: 1136-1141 - [c4]Hung-Yan Gu, Jia-Wei Chang:
基於音段式LMR 對映之語音轉換方法的改進 (Improving of Segmental LMR-Mapping Based Voice Conversion Methods) [In Chinese]. ROCLING 2013 - 2012
- [c3]Hung-Yan Gu, Jia-Wei Chang, Zan-Wei Wang:
以線性多變量迴歸來對映分段後音框之語音轉換方法 (A Voice Conversion Method Mapping Segmented Frames with Linear Multivariate Regression) [In Chinese]. ROCLING 2012 - 2005
- [c2]Chuan-Yu Chang, Jia-Wei Chang, MuDer Jeng:
An Unsupervised Self-Organizing Neural Network for Automatic Semiconductor Wafer Defect Inspection. ICRA 2005: 3000-3005 - 2004
- [c1]Chuan-Yu Chang, Jia-Wei Chang, MuDer Jeng:
Using a self-organizing neural network for wafer defect inspection. SMC (5) 2004: 4312-4317
Coauthor Index
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