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  • Search: subject:"Machine Learning"
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Year of publication
Subject
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Artificial intelligence 6,391 Künstliche Intelligenz 6,369 Machine learning 3,033 machine learning 2,867 Forecasting model 2,017 Prognoseverfahren 2,017 Theorie 1,318 Theory 1,316 Machine Learning 887 Algorithm 630 Algorithmus 629 Neural networks 597 Neuronale Netze 586 Learning process 509 Lernprozess 509 Big Data 431 Big data 424 Data Mining 404 Data mining 400 Portfolio selection 320 Portfolio-Management 320 Consumer behaviour 303 Konsumentenverhalten 303 Prognose 285 Forecast 283 Learning 264 Lernen 264 artificial intelligence 258 Classification 253 Risikomanagement 250 Risk management 250 Regression analysis 241 Regressionsanalyse 238 Social Web 236 Social web 236 Maschinelles Lernen 229 Klassifikation 226 Credit risk 225 Supply chain 218 Kreditrisiko 217
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Online availability
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Undetermined 3,980 Free 3,819 CC license 820
Type of publication
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Article 6,029 Book / Working Paper 2,020 Other 28
Type of publication (narrower categories)
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Article in journal 5,005 Aufsatz in Zeitschrift 5,005 Working Paper 1,488 Graue Literatur 1,200 Non-commercial literature 1,200 Arbeitspapier 1,105 Article 508 Aufsatz im Buch 196 Book section 196 Aufsatzsammlung 127 research-article 96 Hochschulschrift 93 Conference paper 56 Konferenzbeitrag 56 Konferenzschrift 37 Conference Paper 19 Thesis 14 Collection of articles of several authors 11 Sammelwerk 11 Collection of articles written by one author 8 Sammlung 8 review 7 review-article 7 Handbook 6 Handbuch 6 Research Report 6 Lehrbuch 5 technical-paper 5 Preprint 4 Festschrift 3 viewpoint 3 Amtliche Publikation 2 Amtsdruckschrift 2 Bibliografie enthalten 2 Bibliography included 2 Dissertation u.a. Prüfungsschriften 2 Fallstudiensammlung 2 Government document 2 case-report 2 Audio- / visual Ressource 1
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Language
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English 7,759 German 133 Undetermined 133 Spanish 29 French 11 Portuguese 7 Italian 3 Romanian 1 Chinese 1
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Author
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Lechner, Michael 43 Chernozhukov, Victor 22 Knaus, Michael C. 22 Gupta, Rangan 20 Brunori, Paolo 19 Papadimitriou, Theophilos 18 Valente, Marica 18 Plakandaras, Vasilios 17 Ullrich, Hannes 17 Alonso, Andrés 16 Hinz, Oliver 16 Strittmatter, Anthony 15 Ślepaczuk, Robert 15 Gkonkas, Periklēs 14 Goller, Daniel 14 Lessmann, Stefan 14 Lodi, Andrea 14 Bertsimas, Dimitris 13 Carbó, José Manuel 13 Fernández-Villaverde, Jesús 13 Ribers, Michael 13 Vasarhelyi, Miklos A. 13 Andres, Maximilian 12 Brintrup, Alexandra 12 Cajias, Marcelo 12 Chlebus, Marcin 12 Davillas, Apostolos 12 Gründler, Klaus 12 Jones, Andrew M. 12 Newey, Whitney K. 12 Piasenti, Stefano 12 Pornsit Jiraporn 12 Bollens, Joost 11 Chen, Xi 11 Cockx, Bart 11 Goulet Coulombe, Philippe 11 Grajzl, Peter 11 Kräussl, Roman 11 Larsen, Vegard Høghaug 11 Murrell, Peter 11
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Institution
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National Bureau of Economic Research 10 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 4 Logos Verlag Berlin 4 Verlag Dr. Kovač 4 Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 3 Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 3 Springer Fachmedien Wiesbaden 3 AFRICOMM <16., 2024, Abidjan> 2 American Association for Artificial Intelligence 2 Carl Hanser Verlag 2 Department of Economics, Democritus University of Thrace 2 Edward Elgar Publishing 2 Eric Cuvillier <Firma> 2 Fraunhofer IRB-Verlag 2 ICMarkTech <7., 2025, Valencia> 2 IGI Global 2 Institut für Finanzstabilität 2 International Conference on Computational Intelligence in Communications and Business Analytics <6., 2024, Patna> 2 Provozně ekonomická fakulta, Mendelova Univerzita v Brnĕ 2 Society for Computational Economics - SCE 2 Technische Universität Braunschweig 2 UNDP 2 Universität Mannheim 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Walter de Gruyter GmbH & Co. KG 2 Agricultural Land Markets - Efficiency and Regulation 1 BIDA <2., 2025, Bangalore> 1 Books on Demand GmbH <Norderstedt> 1 CCF China Digital Finance Conference <2025, Schanghai> 1 California Agricultural Experiment Station / Department of Agricultural and Resource Economics 1 Center for Biological and Computational Learning 1 Conference on Computational Learning Theory <13, 2000, Palo Alto, Calif.> 1 Conference on Computational Learning Theory <8, 1995, Santa Cruz, Calif.> 1 Department of Economics and Related Studies, University of York 1 Department of Economics, Faculty of Economic and Management Sciences 1 Department of Social and Decision Sciences, Carnegie Mellon University 1 Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Facoltà di Ingegneria dell'Informazione Informatica e Statistica 1 Dipartimento di Management, Università Ca' Foscari Venezia 1 ECML <10, 1998, Chemnitz> 1 EnviroInfo <Veranstaltung> <38., 2024, Kairo> 1
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Published in...
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European journal of operational research : EJOR 112 Finance research letters 104 International journal of production research 101 Computational economics 98 Risks : open access journal 83 Discussion paper series 76 International journal of forecasting 72 Technological forecasting & social change : an international journal 67 Management science : journal of the Institute for Operations Research and the Management Sciences 66 Energy economics 64 IZA Discussion Papers 63 Journal of forecasting 61 Operations research 60 Discussion papers / CEPR 57 Journal of business research : JBR 57 International review of financial analysis 53 CESifo working papers 50 CESifo Working Paper 46 Journal of Risk and Financial Management 43 Journal of risk and financial management : JRFM 43 Working paper 42 Working papers 41 Discussion paper 39 Journal of Intelligent Manufacturing 37 Quantitative finance 37 Risks 36 Financial innovation : FIN 34 International journal of production economics 34 Logistics 34 Marketing science 34 Research in international business and finance 34 Applied economics 33 Computers & operations research : and their applications to problems of world concern ; an international journal 32 Journal of information & knowledge management : JIKM 31 International Journal of Financial Studies : open access journal 29 Computers & operations research : an international journal 27 Health care management science : a new journal serving the international health care management community 27 Journal of the Operational Research Society 27 Pacific-Basin finance journal 27 Socio-economic planning sciences : the international journal of public sector decision-making 27
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Source
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ECONIS (ZBW) 6,735 EconStor 931 Other ZBW resources 225 RePEc 130 BASE 39 USB Cologne (EcoSocSci) 17
Showing 51 - 60 of 8,077
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A bibliometric analysis and research landscape of machine learning applications in greenhouse gas emissions
Ajibade, Samuel-Soma M.; Adediran, Anthonia Oluwatosin; … - In: International Journal of Energy Economics and Policy : IJEEP 16 (2026) 1, pp. 1163-1173
Persistent link: https://www.econbiz.de/10015617389
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Machine learning for estimating catastrophic health spending in disaster-affected, data-scarce settings
Himaz, Rozana; Salmanidou, Dimitra; Ghaffarian, Saman - 2026
Persistent link: https://www.econbiz.de/10015618216
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Optimal audit targeting with machine learning : evidence from Pakistan
Lacoste, Nicholas; Farooq, Zehra - 2026
Persistent link: https://www.econbiz.de/10015619681
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Earning While Learning: How to Run Batched Bandit Experiments
Kemper, Jan; Rostam-Afschar, Davud - 2026
Researchers typically collect experimental data sequentially, allowing early outcome observations and adaptive treatment assignment to reduce exposure to inferior treatments. This article reviews multi-armed-bandit adaptive experimental designs that balance exploration and exploitation. Because...
Persistent link: https://www.econbiz.de/10015608049
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Hard to process: Atypical firms and the cross-section of expected stock returns
Weibels, Sebastian - 2026
Theories of limited attention predict that investors rely on typical patterns to navigate high-dimensional firm characteristics, making atypical firms hard to process. To quantify this difficulty, we propose a data-driven measure of firm atypicality using an autoencoder (ATYP). The model learns...
Persistent link: https://www.econbiz.de/10015608838
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Cropping history, agronomic rules, and commodity prices shape crop rotations across Central Europe
Palka, Marlene; Nendel, Claas; Weiß, Lucas; Schiller, … - In: Agricultural Systems 231 (2026), pp. 1-14
apply a novel machine learning approach that incorporates uncertainty in farmers' decision-making to provide a potential …
Persistent link: https://www.econbiz.de/10015609076
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Enhancing pandemic surveillance and testing: a simulation modeling study utilizing german multicenter data with federated machine learning
Kempter, Stefan; Brunner, Jens O.; Hanses, Frank; … - In: Health Care Management Science 29 (2026) 1
has underscored the potential of Machine Learning-based methods for the digital diagnosis of COVID-19, developing high … Machine Learning offers a solution to that dilemma. The aim of this research is to evaluate the potential impact of Federated …
Persistent link: https://www.econbiz.de/10015616804
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Mapping mobility and opportunity: How place, gender, and ethnicity shape economic outcomes in Ecuador
Brunori, Paolo; del Pozo, Diego; Jara, H. Xavier; … - 2026
Integrating administrative data from the civil registry, social security, and national censuses, we provide novel evidence on intergenerational income mobility and equality of opportunity among 514,890 formal workers in Ecuador. Our results show substantial intergenerational mobility (rank-rank...
Persistent link: https://www.econbiz.de/10015619123
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Quantifying Minsky cycles
Ristolainen, Kim - 2026
countries using machine learning models trained on BERT embeddings of historical news articles (1903-2020). The backcasted …
Persistent link: https://www.econbiz.de/10015619481
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Temporal and spatial crop diversity are related and affected by farm and landscape configurations
Schiller, Josepha; Jänicke, Clemens; Reckling, Moritz; … - In: Agricultural Systems 234 (2026), pp. 1-13
, principal component analysis, and interpretable machine learning, we assess links between spatial and temporal crop diversity …
Persistent link: https://www.econbiz.de/10015619710
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