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  • Search: subject:"Representation Learning"
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Year of publication
Subject
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Learning process 14 Lernprozess 14 Learning 11 Lernen 11 Theorie 9 Theory 9 representation learning 9 Artificial intelligence 5 Graph theory 5 Graphentheorie 5 Künstliche Intelligenz 5 Forecasting model 4 Neural networks 4 Neuronale Netze 4 Prognoseverfahren 4 Social Web 4 Social network 4 Social web 4 Soziales Netzwerk 4 Algorithm 3 Algorithmus 3 Business network 3 Consumer behaviour 3 Konsumentenverhalten 3 Learning organization 3 Lernende Organisation 3 Personalisierung 3 Personalization 3 Unternehmensnetzwerk 3 attention mechanisms 3 deep learning 3 graph representation learning 3 machine learning 3 Big data 2 E-Learning 2 E-commerce 2 E-learning 2 Electronic Commerce 2 Insurance 2 Knowledge management 2
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Online availability
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Undetermined 21 Free 7 CC license 1
Type of publication
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Article 24 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 22 Aufsatz in Zeitschrift 22 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article 1 research-article 1
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Language
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English 28
Author
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Zhang, Kunpeng 3 Blier-Wong, Christopher 2 Dai, Yongsheng 2 Daradkeh, Mohammad 2 Dew, Ryan 2 Lamontagne, Luc 2 Marceau, Etienne 2 Quinn, Barry 2 Rafferty, Karen 2 Spence, Ivor 2 Wang, Hui 2 Yang, Yi 2 Zhou, Fan 2 Ansari, Asim 1 Ascarza, Eva 1 Beldjoudi, Samia 1 Bennouna, Amine 1 Boughareb, Rima 1 Cao, Ying 1 Cha, Ying 1 Chen, Guoqing 1 Chen, Hsinchun 1 Chen, Jingfang 1 Chen, Xi 1 Chen, Zhensong 1 Cheng, Zhang 1 Cossette, Hélène 1 Delong, Łukasz 1 Ding, Xuetao 1 Duan, Haining 1 Feng, Jie 1 Feng, Yipeng 1 Guo, Xunhua 1 Hao, Jinghua 1 He, Renqing 1 Huang, Ta-Wei 1 Israeli, Ayelet 1 Iyengar, Radha 1 Kannan, P. K. 1 Kozak, Anna 1
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Published in...
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ASTIN bulletin : the journal of the International Actuarial Association 3 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 3 INFORMS journal on computing : JOC 2 Information systems research : ISR 2 Journal of information & knowledge management : JIKM 2 Data Technologies and Applications 1 European journal of operational research : EJOR 1 IEEE transactions on engineering management : EM 1 INFORMS journal on applied analytics 1 Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of management information systems : JMIS 1 Journal of marketing 1 Journal of marketing research 1 Journal of open innovation : technology, market, and complexity 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1 Marketing science 1 QBS Research Paper 1 Queen’s Management School working paper series : working paper series 1 Scandinavian actuarial journal 1 Working papers / Harvard Business School, Division of Research 1
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Source
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ECONIS (ZBW) 25 EconStor 2 Other ZBW resources 1
Showing 1 - 10 of 28
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Dynamic personalization with multiple customer signals : multi-response state representation in reinforcement learning
Ma, Liangzong; Huang, Ta-Wei; Ascarza, Eva; Israeli, Ayelet - 2025
Persistent link: https://www.econbiz.de/10015197090
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A representation-learning approach for insurance pricing with images
Blier-Wong, Christopher; Lamontagne, Luc; Marceau, Etienne - In: ASTIN bulletin : the journal of the International … 54 (2024) 2, pp. 280-309
Persistent link: https://www.econbiz.de/10015055289
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The use of autoencoders for training neural networks with mixed categorical and numerical features
Delong, Łukasz; Kozak, Anna - In: ASTIN bulletin : the journal of the International … 53 (2023) 2, pp. 213-232
Persistent link: https://www.econbiz.de/10014320194
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TDSRL : Time Series Dual Self-Supervised Representation Learning for anomaly detection from different perspectives
Dai, Yongsheng; Wang, Hui; Rafferty, Karen; Spence, Ivor; … - 2024
-Supervised Representation Learning) for robust anomaly detection. TDSRL leverages synthetic anomaly segments which are artificially generated to …
Persistent link: https://www.econbiz.de/10014513955
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Learning the minimal representation of a continuous state-space Markov decision process from transition data
Bennouna, Amine; Pachamanova, Dessislava A.; Perakis, … - In: Management science : journal of the Institute for … 71 (2025) 6, pp. 5162-5184
Persistent link: https://www.econbiz.de/10015446771
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TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives
Dai, Yongsheng; Wang, Hui; Rafferty, Karen; Spence, Ivor; … - 2024
-Supervised Representation Learning) for robust anomaly detection. TDSRL leverages synthetic anomaly segments which are artificially generated to …
Persistent link: https://www.econbiz.de/10014513943
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Probing digital footprints and reaching for inherent preferences : a cause-disentanglement approach to personalized recommendations
Wang, Cong; Shi, Yansong; Guo, Xunhua; Chen, Guoqing - In: Information systems research : ISR 36 (2025) 3, pp. 1314-1332
Persistent link: https://www.econbiz.de/10015553470
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Investigating domain knowledge graph knowledge reasoning and assessing quality using knowledge representation learning and knowledge reasoning algorithms
Cao, Ying - In: Journal of information & knowledge management : JIKM 24 (2025) 1, pp. 1-23
Persistent link: https://www.econbiz.de/10015592521
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A user segmentation method in heterogeneous open innovation communities based on multilayer information fusion and attention mechanisms
Daradkeh, Mohammad - In: Journal of open innovation : technology, market, and … 8 (2022) 4, pp. 1-19
The heterogeneity and diversity of users and external knowledge resources is a hallmark of open innovation communities (OICs). Although user segmentation in heterogeneous OICs is a prominent and recurring issue, it has received limited attention in open innovation research and practice. Most...
Persistent link: https://www.econbiz.de/10013413142
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Cover Image
A user segmentation method in heterogeneous open innovation communities based on multilayer information fusion and attention mechanisms
Daradkeh, Mohammad - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-19
The heterogeneity and diversity of users and external knowledge resources is a hallmark of open innovation communities (OICs). Although user segmentation in heterogeneous OICs is a prominent and recurring issue, it has received limited attention in open innovation research and practice. Most...
Persistent link: https://www.econbiz.de/10014329686
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