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  • Search: subject:"MachineLearning"
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Year of publication
Subject
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Machine-learning 25 machine-learning 24 Artificial intelligence 22 Künstliche Intelligenz 22 Theorie 17 Theory 17 machinelearning 16 Forecasting model 11 Prognoseverfahren 11 MachineLearning 9 Coronavirus 7 Credit risk 6 Kreditrisiko 6 Anlageverhalten 5 Behavioural finance 5 Big Data 5 COVID-19 5 LASSO 5 Risk management 5 machine learning 5 Bibliometrics 4 Bibliometrie 4 Consumer behaviour 4 Impact assessment 4 Konsumentenverhalten 4 Risikomanagement 4 Social Web 4 Social web 4 Wirkungsanalyse 4 cognitive effort 4 human-machine collaboration 4 rational inattention 4 Bank lending 3 Börsenkurs 3 Capital income 3 Causality analysis 3 Cognition 3 Communication 3 Emotion 3 Großbritannien 3
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Online availability
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Free 56 Undetermined 41 CC license 9
Type of publication
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Article 62 Book / Working Paper 37
Type of publication (narrower categories)
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Article in journal 53 Aufsatz in Zeitschrift 53 Working Paper 32 Graue Literatur 25 Non-commercial literature 25 Arbeitspapier 22 Article 5 Aufsatz im Buch 2 Book section 2 Hochschulschrift 2 Amtliche Publikation 1 Aufsatzsammlung 1 Collection of articles of several authors 1 Collection of articles written by one author 1 Conference paper 1 Konferenzbeitrag 1 Research Report 1 Sammelwerk 1 Sammlung 1 research-article 1 review-article 1
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Language
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English 95 German 4
Author
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Boyacı, Tamer 4 Canyakmaz, Caner 4 Grajzl, Peter 4 Murrell, Peter 4 Comerton-Forde, Carole 3 Nicastro, Andrea 3 Ribar, David C. 3 Ross, James 3 Salamanca, Nicolás 3 Ademmer, Martin 2 Akramov, Kamiljon 2 Beckmann, Joscha 2 Bode, Eckhardt 2 Borgschulte, Mark 2 Boysen-Hogrefe, Jens 2 Brici, Iulia 2 Cheah, Jun-Hwa 2 Funke, Manuel 2 Gabudeanu, Larisa 2 Guenzel, Marius 2 Haake, Daniel 2 Haisken-DeNew, John P. 2 Hauber, Philipp 2 Heidland, Tobias 2 Hinz, Julian 2 Hynsjö, Disa M. 2 Jannsen, Nils 2 Jun, Sung Jae 2 Kis-Katos, Krisztina 2 Kneib, Thomas 2 Kooths, Stefan 2 Lee, Sokbae 2 Lenel, Friederike 2 Liu, Canyao 2 Ljunge, Martin 2 Lu, Yao 2 Malmendier, Ulrike 2 Mare, Codruța 2 Ng, Siew Imm 2 Perdoni, Luca 2
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Published in...
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Risks : open access journal 4 Working paper 3 CESifo Working Paper 2 CESifo working papers 2 Discussion paper series / IZA 2 ESMT Working Paper 2 ESMT working paper 2 Finance research letters 2 IZA Discussion Papers 2 Kieler Beiträge zur Wirtschaftspolitik 2 Questioni di economia e finanza 2 Research in international business and finance 2 Accounting, auditing & accountability journal 1 African journal of science, technology, innovation and development : AJSTID 1 Applied economics 1 CAMA working paper series 1 CEMMAP working papers / Centre for Microdata Methods and Practice 1 Cambridge elements. Elements in law, economics and politics 1 Carleton economics working papers 1 Cege discussion paper 1 Cogent economics & finance 1 Computational & mathematical organization theory 1 Computational economics 1 Department of Economics discussion paper series / University of Oxford 1 Digital transformation, strategic resilience, cyber security and risk management 1 Economic modelling 1 Energy economics 1 Energy strategy reviews 1 European financial management : the journal of the European Financial Management Association 1 European journal of innovation management 1 Finance India : the quarterly journal of Indian Institute of Finance 1 Global Environmental Change 1 Human resource management review 1 IFN Working Paper 1 IFN working paper 1 Information economics and policy : IEP 1 International journal of intellectual property management : IJIPM 1 International journal of learning and change : IJLC 1 International journal of logistics : research and applications 1 International journal of manpower 1
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Source
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ECONIS (ZBW) 81 EconStor 16 Other ZBW resources 2
Showing 91 - 99 of 99
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The profile of the "good judge" in HRM : a systematic review and agenda for future research
De Kock, Franc̦ois S.; Lievens, Filip; Born, Marise Ph. - In: Human resource management review 30 (2020) 2, pp. 1-21
Persistent link: https://www.econbiz.de/10012212340
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Learning features while learning to classify : a cognitive model for autonomous systems
Martin, Michael; Lebiere, Christian; Fields, MaryAnne; … - In: Computational & mathematical organization theory 26 (2020) 1, pp. 23-54
Persistent link: https://www.econbiz.de/10012222546
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Machine + man : a field experiment on the role of discretion in augmenting AI-based lending models
Costello, Anna M.; Down, Andrea K.; Mehta, Mihir N. - In: Journal of accounting & economics 70 (2020) 2/3, pp. 1-30
Persistent link: https://www.econbiz.de/10012494847
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Federal reserve chair communication sentiments' heterogeneity, personal characteristics, and their impact on target rate discovery
Arismendi Zambrano, Juan Carlos; Guidolin, Massimo; … - 2020
Persistent link: https://www.econbiz.de/10012542371
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AI meets labor market: exploring the link between automation and skills
Colombo, Emilio; Mercorio, Fabio; Mezzanzancia, Mario - In: Information economics and policy : IEP 47 (2019), pp. 27-37
Persistent link: https://www.econbiz.de/10012302471
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Text mining as a facilitating tool for deploying blockchain technology in the intellectual property rights system
Alnafrah, Ibrahim; Bogdanova, Elena; Maximova, Tatyana - In: International journal of intellectual property … 9 (2019) 2, pp. 120-135
Persistent link: https://www.econbiz.de/10012110553
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Opinion spam detection in online reviews
Rastogi, Ajay; Mehrotra, Monica - In: Journal of information & knowledge management : JIKM 16 (2017) 4, pp. 1750036-1-38
Persistent link: https://www.econbiz.de/10011856763
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Risk and risk management in the credit card industry
Butaru, Florentin; Chen, Qingqing; Clark, Brian; Das, Sanmay - In: Journal of banking & finance 72 (2016), pp. 218-239
Persistent link: https://www.econbiz.de/10011635514
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2011 Conversational Marketing Summit in New York
Grossberg, Kenneth Alan - In: Strategy & Leadership 39 (2011) 6, pp. 48-50
Purpose – The author listened to many major corporate players discuss the brave new world of brand conversations and content engagement at the 2011 CM (“Conversational Marketing”) Summit in New York. This paper aims to reveal his conclusion is that we have a lot of new lessons to learn...
Persistent link: https://www.econbiz.de/10015016755
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