- Shuai Guo, Jiatong Shi, Tao Qian, Shinji Watanabe, Qin Jin:
SingAug: Data Augmentation for Singing Voice Synthesis with Cycle-consistent Training Strategy. CoRR abs/2203.17001 (2022) - Guobin Shen, Dongcheng Zhao, Yi Zeng:
EventMix: An Efficient Augmentation Strategy for Event-Based Data. CoRR abs/2205.12054 (2022) - Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data. CoRR abs/2210.15137 (2022) - 2021
- Liyilei Su, Xianjun Fu, Qingmao Hu:
Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment. Comput. Methods Programs Biomed. 212: 106456 (2021) - Binghua Li, Zhiwen Zhang, Feng Duan, Zhenglu Yang, Qibin Zhao, Zhe Sun, Jordi Solé-Casals:
Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals. Neurocomputing 465: 325-335 (2021) - Zhicheng Pang, Hong Li, Chiyu Wang, Jiawen Shi, Jiale Zhou:
A two-stage balancing strategy based on data augmentation for imbalanced text sentiment classification. J. Intell. Fuzzy Syst. 40(5): 10073-10086 (2021) - Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui:
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3296-3305 (2021) - Asma Maalej, Chiheb Rebai:
Sensor Data Augmentation Strategy for Load Forecasting in Smart Grid Context. SSD 2021: 979-983 - Peng Cao, Wei Bao, Kai Wang, Tai Yang:
A Timing Prediction Framework for Wide Voltage Design with Data Augmentation Strategy. ASP-DAC 2021: 291-296 - Yongping Du, Jingya Yan, Yiliang Zhao, Yuxuan Lu, Xingnan Jin:
Dual Model Weighting Strategy and Data Augmentation in Biomedical Question Answering. BIBM 2021: 659-662 - Yu Zhang, Wang Hu, Yan Qi, Yuxuan Li:
Data-driven Multiobjective Particle Swarm Optimization based on Data Augmentation Strategy. ICCBN 2021: 6-10 - A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae:
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization. ICLR 2021 - Xiangyu Wei, Meifei Chen, Manxi Wu, Xiaowei Zhang, Bin Hu:
EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy. ISBRA 2021: 484-496 - Maxime W. Lafarge, Viktor H. Koelzer:
Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 62-67 - Yue Liu, Wenjie Tian, Shuang Li:
Meta-data Augmentation Based Search Strategy Through Generative Adversarial Network for AutoML Model Selection. PAKDD (3) 2021: 312-324 - Xue Liu, Dan Sun, Wei Wei:
A Graph Data Augmentation Strategy with Entropy Preserving. CoRR abs/2107.06048 (2021) - Maxime W. Lafarge, Viktor H. Koelzer:
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge. CoRR abs/2109.00823 (2021) - Qing Han, Shubo Tian, Jinfeng Zhang:
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets. CoRR abs/2112.02998 (2021) - 2020
- Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs. Neurocomputing 402: 283-297 (2020) - Yu Li, Xiao Li, Yating Yang, Rui Dong:
A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation. Inf. 11(5): 255 (2020) - Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn:
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. CVPR 2020: 8372-8381 - Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. EMBC 2020: 3015-3018 - Wenshan Wu, Yuhao Lu, Ravikiran Mane, Cuntai Guan:
Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy. EMBC 2020: 1516-1519 - Henry K. Griffith, Oleg Komogortsev:
A Shift-Based Data Augmentation Strategy for Improving Saccade Landing Point Prediction. ETRA Adjunct 2020: 20:1-20:6 - Kamel Gaanoun, Imade Benelallam:
Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy. WANLP@COLING 2020: 275-281 - Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn:
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. CoRR abs/2004.00448 (2020) - M. Saiful Bari, Muhammad Tasnim Mohiuddin, Shafiq R. Joty:
MultiMix: A Robust Data Augmentation Strategy for Cross-Lingual NLP. CoRR abs/2004.13240 (2020) - Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. CoRR abs/2005.04881 (2020) - A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae:
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization. CoRR abs/2006.01791 (2020) - 2019
- Rui Li, Xiufang Jia, Min Hu, Man Zhou, Dengshan Li, Wancai Liu, Rujing Wang, Jie Zhang, Chengjun Xie, Liu Liu, Fangyuan Wang, Hongbo Chen, Tianjiao Chen, Haiying Hu:
An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. IEEE Access 7: 160274-160283 (2019)