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Snorkel: Rapid Training Data Creation with Weak Supervision
Ratner, Alexander, Bach, Stephen H, Ehrenberg, Henry, Fries, Jason, Wu, Sen, Ré, Christopher
Published in Proceedings of the VLDB Endowment (01.11.2017)
Published in Proceedings of the VLDB Endowment (01.11.2017)
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Snorkel: rapid training data creation with weak supervision
Ratner, Alexander, Bach, Stephen H., Ehrenberg, Henry, Fries, Jason, Wu, Sen, Ré, Christopher
Published in The VLDB journal (01.05.2020)
Published in The VLDB journal (01.05.2020)
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Generic semi-supervised adversarial subject translation for sensor-based activity recognition: Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data. Though, data collection and manual labeling in the HAR domain are prohibitively expensive due to human resource dependence in both steps. Hence, domain adaptation techniques are proposed to adapt the knowledge from the existing source of data. More recently, adversarial transfer learning methods have shown promisin
Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine
Published in Neurocomputing (Amsterdam) (01.08.2022)
Published in Neurocomputing (Amsterdam) (01.08.2022)
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Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition
Li, Jinpeng, Qiu, Shuang, Shen, Yuan-Yuan, Liu, Cheng-Lin, He, Huiguang
Published in IEEE transactions on cybernetics (01.07.2020)
Published in IEEE transactions on cybernetics (01.07.2020)
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Accelerating CEST imaging using a model‐based deep neural network with synthetic training data
Xu, Jianping, Zu, Tao, Hsu, Yi‐Cheng, Wang, Xiaoli, Chan, Kannie W. Y., Zhang, Yi
Published in Magnetic resonance in medicine (01.02.2024)
Published in Magnetic resonance in medicine (01.02.2024)
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Low-quality training data detection method of EEG signals for motor imagery BCI system
Ouyang, Rui, Jin, Zihao, Tang, Shuhao, Fan, Cunhang, Wu, Xiaopei
Published in Journal of neuroscience methods (01.07.2022)
Published in Journal of neuroscience methods (01.07.2022)
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Cross-Subject Assistance: Inter- and Intra-Subject Maximal Correlation for Enhancing the Performance of SSVEP-Based BCIs
Wang, Haoran, Sun, Yaoru, Wang, Fang, Cao, Lei, Zhou, Wei, Wang, Zijian, Chen, Shiyi
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
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Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs
Wang, Ziwen, Zhang, Yue, Zhang, Zhiqiang, Xie, Sheng Quan, Lanzon, Alexander, Heath, William P., Li, Zhenhong
Published in IEEE journal of biomedical and health informatics (09.06.2025)
Published in IEEE journal of biomedical and health informatics (09.06.2025)
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On the Role of Training Data for SVM-Based Microwave Brain Stroke Detection and Classification
Pokorny, Tomas, Vrba, Jan, Fiser, Ondrej, Vrba, David, Drizdal, Tomas, Novak, Marek, Tosi, Luca, Polo, Alessandro, Salucci, Marco
Published in Sensors (Basel, Switzerland) (01.02.2023)
Published in Sensors (Basel, Switzerland) (01.02.2023)
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Person identification with limited training data using radar micro‐Doppler signatures
Lang, Yue, Wang, Qing, Yang, Yang, Hou, Chunping, He, Yuan, Xu, Jinchen
Published in Microwave and optical technology letters (01.03.2020)
Published in Microwave and optical technology letters (01.03.2020)
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Spatial domain bridge transfer : An automated paddy rice mapping method with no training data required and decreased image inputs for the large cloudy area
Zhang, Chengkang, Zhang, Hongyan, Zhang, Liangpei
Published in Computers and electronics in agriculture (01.02.2021)
Published in Computers and electronics in agriculture (01.02.2021)
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Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Yu, Ning, Skripniuk, Vladislav, Abdelnabi, Sahar, Fritz, Mario
Published in Proceedings / IEEE International Conference on Computer Vision (01.01.2021)
Published in Proceedings / IEEE International Conference on Computer Vision (01.01.2021)
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Using High-Pass Filter to Enhance Scan Specific Learning for MRI Reconstruction without Any Extra Training Data
Jin, Zhaoyang, Cao, Jiuwen, Zhang, Mei, Xiang, Qing-San
Published in NeuroImage (Orlando, Fla.) (01.12.2024)
Published in NeuroImage (Orlando, Fla.) (01.12.2024)
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