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  • Search: subject:"Generative models"
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Year of publication
Subject
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Generative models 9 Artificial intelligence 7 Künstliche Intelligenz 6 generative models 5 Deep learning 4 Neural networks 4 Neuronale Netze 4 Simulation 4 Theorie 4 Theory 4 Deep generative models 3 Forecasting model 3 Generative Models 3 Machine Learning 3 Prognoseverfahren 3 Agriculture Technology 2 Artificial Intelligence 2 Betriebliches Informationssystem 2 Business intelligence system 2 Concentration inequalities 2 Covering numbers 2 Cryptography 2 Cybersecurity 2 Data Augmentation 2 Deep Learning 2 Disease Detection 2 Dual representation 2 Energy Efficiency 2 Generative AI 2 Gesundheitswesen 2 Health care system 2 Healthcare Prediction 2 Human Activity Recognition 2 Image Classification 2 Internet der Dinge 2 Internet of things 2 IoT (Internet of Things) 2 Large language models 2 Machine learning 2 Medical Imaging 2
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Online availability
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Free 11 Undetermined 9 CC license 3
Type of publication
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Article 17 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 9 Aufsatz in Zeitschrift 9 Article 4 Konferenzschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1 research-article 1
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Language
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English 17 Undetermined 3
Author
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Banh, Leonardo 2 Belomestny, Denis 2 Dutta, Paramartha 2 Hübner, Tobias 2 Krätschmer, Volker 2 Mandal, J. K. 2 Mbuvha, Rendani 2 Mukhopadhyay, Somnath 2 Ngwenduna, Kwanda Sydwell 2 Singh, Amit Kumar 2 Singh, Jyoti Prakash 2 Singh, Maheshwari Prasad 2 Strobel, Gero 2 Bergeron, Maxime 1 Biernacki, Christophe 1 Borysov, Stanislav 1 Carvajal-Patiño, Daniel 1 Celeux, Gilles 1 Choudhary, Vedant 1 Choudhury, Nazim 1 Cont, Rama 1 FRISTON, KARL 1 Fukunishi, Yosuke 1 Garrido, Sergio 1 Govaert, Gérard 1 Horawalavithana, Sameera 1 Iamnitchi, Adriana 1 Iraki, Tarek 1 Istiaque, Riasat Ali 1 Jaimungal, Sebastian 1 KIEBEL, STEFAN 1 Kuznietsov, Oleksii 1 Kyselov, Gennadiy 1 Link, Norbert 1 MENEZES, TELMO 1 Pereira, Francisco 1 Pun, Chi Seng 1 Qiu, Haorong 1 ROTH, CAMILLE 1 Ramos-Pollán, Raul 1
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Institution
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International Conference on Computational Intelligence in Communications and Business Analytics <6., 2024, Patna> 2
Published in...
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Communications in Computer and Information Science 2 Quantitative finance 2 Advances in Complex Systems (ACS) 1 Applied mathematical finance 1 CARF working paper 1 Computational & mathematical organization theory 1 Computational Statistics & Data Analysis 1 Electronic Markets 1 Finance and Stochastics 1 Finance and stochastics 1 Journal of Causal Inference 1 Journal of Intelligent Manufacturing 1 New Mathematics and Natural Computation (NMNC) 1 Research in international business and finance 1 Risks 1 Risks : open access journal 1 Technology audit and production reserves 1
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Source
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ECONIS (ZBW) 12 EconStor 4 RePEc 3 Other ZBW resources 1
Showing 1 - 10 of 20
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Generating the term structure of interest rates with diffusion models
Fukunishi, Yosuke; Qiu, Haorong; Takahashi, Akihiko; Ye, Fan - 2025
Persistent link: https://www.econbiz.de/10015467236
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VolGAN: a generative model for arbitrage-free implied volatility surfaces
Vuletić, Milena; Cont, Rama - In: Applied mathematical finance 31 (2024) 4, pp. 203-238
Persistent link: https://www.econbiz.de/10015415726
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An overview of current issues in automatic text summarization of natural language using artificial intelligence methods
Kuznietsov, Oleksii; Kyselov, Gennadiy - In: Technology audit and production reserves 4 (2024) 2/78, pp. 12-19
Persistent link: https://www.econbiz.de/10015078637
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Generative artificial intelligence
Banh, Leonardo; Strobel, Gero - In: Electronic Markets 33 (2023) 1
generative models, generative AI is capable of producing novel and realistic content across a broad spectrum (e.g., texts, images …
Persistent link: https://www.econbiz.de/10015110483
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Generative artificial intelligence
Banh, Leonardo; Strobel, Gero - 2023
Persistent link: https://www.econbiz.de/10014437373
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Computational Intelligence in Communications and Business Analytics : 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part I
Singh, Jyoti Prakash (ed.); Singh, Maheshwari Prasad (ed.);  … - International Conference on Computational Intelligence … - 2025
Computational Intelligence I -- Depression Clinic People's Mental Health Prediction Using Information from Online Social Media Networks (OSN) -- A Novel Hindi Voice Based Assistant System Architecture for E Commerce -- Early Classification of Alzheimer’s Disease Using Deep Learning Technique...
Persistent link: https://www.econbiz.de/10015206767
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Computational Intelligence in Communications and Business Analytics : 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part II
Singh, Jyoti Prakash (ed.); Singh, Maheshwari Prasad (ed.);  … - International Conference on Computational Intelligence … - 2025
Computational Intelligence II -- Multimodal Skin Cancer Classification Optimized Convolutional Network with Customized Loss and RNN Based FCNN Fusion -- Deep Learning Based MLP Model in Detection of Cotton Plant Leaf Disease -- Enhancing Drug Candidate Generation Comparing Genetic Algorithm And...
Persistent link: https://www.econbiz.de/10015206768
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Stock market simulator using hidden Markov generative model and its application in risk measurement
Istiaque, Riasat Ali; Pun, Chi Seng; Yong, Brandon Yung Sin - In: Quantitative finance 25 (2025) 6, pp. 873-893
Persistent link: https://www.econbiz.de/10015534164
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Solving optimal stopping problems under model uncertainty via empirical dual optimisation
Belomestny, Denis; Hübner, Tobias; Krätschmer, Volker - In: Finance and Stochastics 26 (2022) 3, pp. 461-503
In this work, we consider optimal stopping problems with model uncertainty incorporated into the formulation of the underlying objective function. Typically, the robust, efficient hedging of American options in incomplete markets may be described as optimal stopping of such kind. Based on a...
Persistent link: https://www.econbiz.de/10015110490
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Solving optimal stopping problems under model uncertainty via empirical dual optimisation
Belomestny, Denis; Hübner, Tobias; Krätschmer, Volker - In: Finance and stochastics 26 (2022) 3, pp. 461-503
Persistent link: https://www.econbiz.de/10013440233
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