Добірка наукової літератури з теми "Transfer learning (TL)"
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Статті в журналах з теми "Transfer learning (TL)"
Nishida, Satoshi, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, and Shinji Nishimoto. "Brain-Mediated Transfer Learning of Convolutional Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5281–88. http://dx.doi.org/10.1609/aaai.v34i04.5974.
Повний текст джерелаYu, Fuchao, Xianchao Xiu, and Yunhui Li. "A Survey on Deep Transfer Learning and Beyond." Mathematics 10, no. 19 (October 3, 2022): 3619. http://dx.doi.org/10.3390/math10193619.
Повний текст джерелаCho, Seong Hee, Seokgoo Kim, and Joo-Ho Choi. "Transfer Learning-Based Fault Diagnosis under Data Deficiency." Applied Sciences 10, no. 21 (November 3, 2020): 7768. http://dx.doi.org/10.3390/app10217768.
Повний текст джерелаLi, Yuyang, Bolin Fu, Xidong Sun, Donglin Fan, Yeqiao Wang, Hongchang He, Ertao Gao, Wen He, and Yuefeng Yao. "Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images." Remote Sensing 14, no. 21 (November 2, 2022): 5533. http://dx.doi.org/10.3390/rs14215533.
Повний текст джерелаChen, Muzi. "Analysis on Transfer Learning Models and Applications in Natural Language Processing." Highlights in Science, Engineering and Technology 16 (November 10, 2022): 446–52. http://dx.doi.org/10.54097/hset.v16i.2609.
Повний текст джерелаLi, Zhichao, and Jinwei Dong. "A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping Building Footprints." Remote Sensing 14, no. 19 (September 22, 2022): 4738. http://dx.doi.org/10.3390/rs14194738.
Повний текст джерелаJeon, Ho-Kun, Seungryong Kim, Jonathan Edwin, and Chan-Su Yang. "Sea Fog Identification from GOCI Images Using CNN Transfer Learning Models." Electronics 9, no. 2 (February 11, 2020): 311. http://dx.doi.org/10.3390/electronics9020311.
Повний текст джерелаXin, Baogui, and Wei Peng. "Prediction for Chaotic Time Series-Based AE-CNN and Transfer Learning." Complexity 2020 (September 16, 2020): 1–9. http://dx.doi.org/10.1155/2020/2680480.
Повний текст джерелаWang, Peng (Edward), and Matthew Russell. "Domain Adversarial Transfer Learning for Generalized Tool Wear Prediction." Annual Conference of the PHM Society 12, no. 1 (November 3, 2020): 8. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1137.
Повний текст джерелаMinami, Shunya, Song Liu, Stephen Wu, Kenji Fukumizu, and Ryo Yoshida. "A General Class of Transfer Learning Regression without Implementation Cost." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 10 (May 18, 2021): 8992–99. http://dx.doi.org/10.1609/aaai.v35i10.17087.
Повний текст джерелаЧастини книг з теми "Transfer learning (TL)"
Peters, Florin Tim, and Robin Hirt. "A Transfer Machine Learning Matching Algorithm for Source and Target (TL-MAST)." In Machine Learning, Optimization, and Data Science, 541–58. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64580-9_45.
Повний текст джерелаLu, Kai-liang, Guo-rong Luo, Ming Zhang, Jin-feng Qi, and Chun-ying Huang. "Comparison of Deep Learning Methods and a Transfer-Learning Semi-Supervised GAN Combined Framework for Pavement Crack Image Identification." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220571.
Повний текст джерелаTanaka-Ellis, Nobue, and Sachiyo Sekiguchi. "Not a language course (!): teaching global leadership skills through a foreign language in a flipped, blended, and ubiquitous learning environment." In CALL and complexity – short papers from EUROCALL 2019, 350–55. Research-publishing.net, 2019. http://dx.doi.org/10.14705/rpnet.2019.38.1035.
Повний текст джерелаТези доповідей конференцій з теми "Transfer learning (TL)"
Tang, Yifan, M. Rahmani Dehaghani, and G. Gary Wang. "Review of Transfer Learning in Additive Manufacturing Modeling." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89300.
Повний текст джерелаKrithara, Anastasia, and Georgios Paliouras. "TL-PLSA: Transfer Learning between Domains with Different Classes." In 2013 IEEE International Conference on Data Mining (ICDM). IEEE, 2013. http://dx.doi.org/10.1109/icdm.2013.113.
Повний текст джерелаZhang, Xiaokai, Yonggui Mei, Hao Jin, and Dong Liang. "TL-FCMA: Indoor Localization by Integrating Fuzzy Clustering with Transfer Learning." In 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC). IEEE, 2018. http://dx.doi.org/10.1109/icnidc.2018.8525754.
Повний текст джерелаWu, Xianyu, Shihao Feng, Xiaojie Li, Jing Yin, Jiancheng Lv, and Canghong Shi. "TL-GAN: Generative Adversarial Networks with Transfer Learning for Mode Collapse (S)." In The 31st International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. http://dx.doi.org/10.18293/seke2019-160.
Повний текст джерелаMasum, Mohammad, and Hossain Shahriar. "TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection." In 2020 15th International Conference for Internet Technology and Secured Transactions (ICITST). IEEE, 2020. http://dx.doi.org/10.23919/icitst51030.2020.9351317.
Повний текст джерелаLiu, Che-Yu, Xiaoliang Chen, Roberto Proietti, and S. J. Ben Yoo. "Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ofc.2020.th3d.1.
Повний текст джерелаZhu, Xulyu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, and Bo Dong. "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning." In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018. http://dx.doi.org/10.1109/trustcom/bigdatase.2018.00169.
Повний текст джерелаSadreazami, Hamidreza, Miodrag Bolic, and Sreeraman Rajan. "TL-FALL: Contactless Indoor Fall Detection Using Transfer Learning from a Pretrained Model." In 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2019. http://dx.doi.org/10.1109/memea.2019.8802154.
Повний текст джерелаCheng, Jiahui, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, and Zhiwen Yu. "TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples." In 2021 7th International Conference on Big Data Computing and Communications (BigCom). IEEE, 2021. http://dx.doi.org/10.1109/bigcom53800.2021.00023.
Повний текст джерелаWei, Xiao, Fabian Jochmann, Anna Lena Demmerling, and Dirk Söffker. "Application of Transfer Learning in Metalworking Fluid Distinction." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89452.
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