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  • Search: subject:"multitask learning"
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Subject
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Learning process 3 Lernprozess 3 multitask learning 3 Design science 2 Forecasting model 2 Multitask learning 2 Prognoseverfahren 2 Theorie 2 Theory 2 Bayes-Statistik 1 Bayesian data analysis 1 Bayesian inference 1 Bio data mining 1 Biomedical entity extraction 1 E-Health 1 E-health 1 Gesundheitsversorgung 1 Gesundheitswesen 1 Health care 1 Health care system 1 LRFE-Net 1 Learning 1 Learning organization 1 Lernen 1 Lernende Organisation 1 Neural network 1 Product quality 1 Produktqualität 1 Quality management 1 Quality prediction 1 Qualitätsmanagement 1 Single-task learning 1 Vision-based tactile sensor 1 Visual-tactile recognition 1 adversarial learning 1 attention mechanism 1 deep learning 1 domain adaptation 1 electronic health records 1 health IT 1
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Undetermined 4
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Article 5
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 research-article 2
Language
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English 5
Author
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Chen, Hsinchun 2 Brow, Randall A. 1 Brown, Randall A. 1 Chai, Yidong 1 Fang, Bin 1 Kumar, Ashutosh 1 Li, Dengyu 1 Li, Shu-hsing 1 Lin, Yu-Kai 1 Shan, Jianhua 1 Sharaff, Aakanksha 1 Sherman, Scott J. 1 Sun, Fuchun 1 Wang, Kaibo 1 Yang, Hung-Jen 1 Yang, Yiyong 1 Yu, Shuo 1 Zhang, Shixin 1
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Published in...
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Data Technologies and Applications 1 Industrial Robot: the international journal of robotics research and application 1 International journal of production research 1 MIS quarterly 1 Management information systems : mis quarterly 1
Source
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ECONIS (ZBW) 3 Other ZBW resources 2
Showing 1 - 5 of 5
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ABEE: automated bio entity extraction from biomedical text documents
Kumar, Ashutosh; Sharaff, Aakanksha - In: Data Technologies and Applications 57 (2023) 2, pp. 222-244
Purpose The purpose of this study was to design a multitask learning model so that biomedical entities can be extracted … extraction (ABEE) model, a multitask learning model has been introduced with the combination of single-task learning models. Our …. Originality/value In this work we proposed a novel multitask learning model that is capable to extract biomedical entities from …
Persistent link: https://www.econbiz.de/10014712666
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Wearable sensor-based chronic condition severity assessment : an adversarial attention-based deep multisource multitask learning approach
Yu, Shuo; Chai, Yidong; Chen, Hsinchun; Sherman, Scott J.; … - In: MIS quarterly 46 (2022) 3, pp. 1355-1394
Persistent link: https://www.econbiz.de/10013553710
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A multisource domain adaptation method for quality prediction in small-batch production systems
Li, Dengyu; Wang, Kaibo - In: International journal of production research 60 (2022) 20, pp. 6268-6281
Persistent link: https://www.econbiz.de/10013501038
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Multimode fusion perception for transparent glass recognition
Zhang, Shixin; Shan, Jianhua; Sun, Fuchun; Fang, Bin; … - In: Industrial Robot: the international journal of robotics … 49 (2022) 4, pp. 625-633
reduce the uncertainty of the visual recognition of transparent objects. Design/methodology/approach A multitask learning …
Persistent link: https://www.econbiz.de/10014836117
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Healthcare predictive analytics for risk profiling in chronic care : a Bayesian multitask learning approach
Lin, Yu-Kai; Chen, Hsinchun; Brown, Randall A.; Li, … - In: Management information systems : mis quarterly 41 (2017) 2, pp. 473-495
Persistent link: https://www.econbiz.de/10011689881
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