Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Piwowarczyk, Mateusz"'
Publikováno v:
In Sustainable Cities and Society January 2022 76
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Piwowarczyk, Marek1, Rubinkiewicz, Mateusz2, Krzywoń, Jerzy1, Kołodziejski, Marcin1, Krzyżewski, Roger M.3, Zbierska-Rubinkiewicz, Katarzyna1 zbierska.k@gmail.com
Publikováno v:
Videosurgery & Other Miniinvasive Techniques / Wideochirurgia i Inne Techniki Mało Inwazyjne. Mar2024, Vol. 19 Issue 1, p100-106. 7p.
Autor:
Kukliński, Jakub1 (AUTHOR) kubakuklinski@gumed.edu.pl, Steckiewicz, Karol P.1 (AUTHOR) karol.steckiewicz@gumed.edu.pl, Piwowarczyk, Sebastian P.2 (AUTHOR) s.piwowarczyk@gumed.edu.pl, Kreczko, Mateusz J.1 (AUTHOR) aleksander.aszkielowicz@gumed.edu.pl, Aszkiełowicz, Aleksander1 (AUTHOR) radoslaw.owczuk@gumed.edu.pl, Owczuk, Radosław1 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Feb2022, Vol. 11 Issue 3, p825. 1p.
Autor:
Salgado Ramírez, Juan Camilo
Publikováno v:
Group, Oxford Business (2019) Colombian real estate market shows beginning of a revival of sustainable. En: Oxford Business Group. Disponible en: https://oxfordbusinessgroup.com/overview/policymakers-and-private-developers-are-steadily-laying-groundwork-sustainable-growth-raising.
Waugh, Frederick V (1928) Quality Factors Influencing Vegetable Prices. En: Journal of Farm Economics. Vol. 10; No. 2; pp. 185-196 : [Oxford University Press, Agricultural & Applied Economics Association]; 1071-1031; Disponible en: http://www.jstor.org/stable/1230278.
Mullainathan, Sendhil; Spiess, Jann (2017) Machine Learning: An Applied Econometric Approach. En: The Journal of Economic Perspectives. Vol. 31; No. 2; pp. 87-106 : American Economic Association; 0895-3309; Disponible en: http://www.jstor.org/stable/44235000.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E; Pereira, F; Burges, C J; Bottou, L; Weinberger, K Q (2012) ImageNet Classification with Deep Convolutional Neural Networks. En: Advances in Neural Information Processing Systems. Vol. 25; Curran Associates, Inc.; Disponible en: https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf.
Cabrera-Rodríguez, Wilmar Alexander; Mariño-Montaña, Juan Sebastián; Quicazán-Moreno, Carlos Andrés (2019) Modelos hedónicos con efectos espaciales: una aproximación al cálculo de. En: Borradores de Economía. Vol. 1072
Pérez-Rave, Jorge Iván; Correa-Morales, Juan Carlos; González-Echavarría, Fabián (2019) A machine learning approach to big data regression analysis of real estate. En: Journal of Property Research. Vol. 36; No. 1
Trawiński, Bogdan; Telec, Zbigniew; Krasnoborski, Jacek; Piwowarczyk, Mateusz; Talaga, Michał; Lasota, Tedeusz; Sawiłow, Edward (2017) Comparison of expert algorithms with machine learning models for real. En: 2017 IEEE International Conference on INnovations in Intelligent SysTems. pp. 51-54 Disponible en: http://dx.doi.org/10.1109/INISTA.2017.8001131. Disponible en: 10.1109/INISTA.2017.8001131.
Masood, Muhammad; Hussain, Farhan; Shaukat, Arslan; Zeb, Babar; Kaleem Ullah, Rana (2019) Towards the Selection of Best Machine Learning Model for Student. pp. 12-17 Disponible en: http://dx.doi.org/10.1109/ISCMI47871.2019.9004299. Disponible en: 10.1109/ISCMI47871.2019.9004299.
Departamento Administrativo Nacional de Estadística, Dane (2022) Anexos produccion constantes IV 2021 [Data file]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/cuentas-nacionales/cuentas-nacionales-trimestrales/pib-informacion-tecnica.
Departamento Administrativo Nacional de Estadística, Dane (2018) CNPV 2018 VIHOPE v2 [Data file]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-nacional-de-poblacion-y-vivenda-2018.
Peña Talero, Sergey (2022) Ranking de plataformas de vivienda en Colombia. Disponible en: https://public.flourish.studio/visualisation/9334685/?utm_source=linkedin.
La Galería Inmobiliaria, (2019) Informe de Mercado 2019. En: Publicaciones propias de La Galería Inmobiliaria.
Sharpe, William F (1964) Capital Asset Prices: A Theory of Market Equilibrium under Conditions of. En: The Journal of Finance. Vol. 19; No. 3; pp. 425-442 : [American Finance Association, Wiley]; 0022-1082; Disponible en: http://www.jstor.org/stable/2977928.
Cárdenas Rubio, Jeisson Arley; Chaux Guzmán, Francisco José; Otero, Jesús (2019) Una base de datos de precios y características de vivienda en Colombia con. En: Revista De Economía Del Rosario. Vol. 22(1); pp. 75-100 : Universidad del Rosario; Disponible en: https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.7768; http://dx.doi.org/10.12804/revistas.urosario.edu.co/economia/a.7768. Disponible en: 10.12804/revistas.urosario.edu.co/economia/a.7768.
Gordon, M J (1959) Dividends, Earnings, and Stock Prices. En: The Review of Economics and Statistics. Vol. 41; No. 2; pp. 99-105 : The MIT Press; 0034-6535; Disponible en: http://www.jstor.org/stable/1927792.
Claus, Munk (2013) Financial Asset Pricing Theory. Vol. 1st ed; OUP Oxford; 9780199585496
Departamento Administrativo Nacional de Estadística, Dane (2019) anexos cartera IVtrim19 [Data file]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/construccion/cartera-hipotecaria-de-vivienda/cartera-hipotecaria-de-vivienda-chv-historicos.
Banco de La República, (2022) Colombia's inflation targeting strategy. Disponible en: https://www.banrep.gov.co/en/monetary-policy.
Truong, Quang; Nguyen, Minh; Dang, Hy; Mei, Bo (2020) Housing Price Prediction via Improved Machine Learning Techniques. En: Procedia Computer Science. Vol. 174; pp. 433-442 1877-0509; Disponible en: https://www.sciencedirect.com/science/article/pii/S1877050920316318; http://dx.doi.org/10.1016/j.procs.2020.06.111. Disponible en: 10.1016/j.procs.2020.06.111.
Jha, Shashi Bhushan; Pandey, Vijay; Jha, Rajesh Kumar; Babiceanu, Radu F (2020) Machine Learning Approaches to Real Estate Market Prediction Problem: A. En: CoRR. Vol. abs/2008.09922; Disponible en: https://arxiv.org/abs/2008.09922.
Lynch, Allen K; Rasmussen, David W (2001) Measuring the impact of crime on house prices. En: Applied Economics. Vol. 33; No. 15; pp. 1981-1989 : Routledge; Disponible en: https://doi.org/10.1080/00036840110021735; http://dx.doi.org/10.1080/00036840110021735. Disponible en: 10.1080/00036840110021735.
Evans, Thomas A (2012) An Estimate of the Accuracy of Hedonic Real Estate Valuations Using the. En: Economica. Vol. 79; No. 316; pp. 703-720 : [London School of Economics, Wiley, The London School of Economics and; 0013-0427; Disponible en: http://www.jstor.org/stable/23274788.
Clark, David E; Cosgrove, James C (1990) HEDONIC PRICES, IDENTIFICATION, AND THE DEMAND FOR PUBLIC SAFETY*. En: Journal of Regional Science. Vol. 30; No. 1; pp. 105-121 Disponible en: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-9787.1990.tb00083.x; http://dx.doi.org/10.1111/j.1467-9787.1990.tb00083.x. Disponible en: 10.1111/j.1467-9787.1990.tb00083.x.
Sirmans, G Stacy; MacDonald, Lynn; Macpherson, David A; Zietz, Emily Norman (2006) The Value of Housing Characteristics: A Meta Analysis. En: Journal of Real Estate Finance and Economics. Vol. 33; No. 3; pp. 215-240 0895-5638
Cook, Darren (2016) Practical Machine Learning with H2O. : O'Reilly Media, Inc.
Repositorio EdocUR-U. Rosario
Universidad del Rosario
instacron:Universidad del Rosario
Waugh, Frederick V (1928) Quality Factors Influencing Vegetable Prices. En: Journal of Farm Economics. Vol. 10; No. 2; pp. 185-196 : [Oxford University Press, Agricultural & Applied Economics Association]; 1071-1031; Disponible en: http://www.jstor.org/stable/1230278.
Mullainathan, Sendhil; Spiess, Jann (2017) Machine Learning: An Applied Econometric Approach. En: The Journal of Economic Perspectives. Vol. 31; No. 2; pp. 87-106 : American Economic Association; 0895-3309; Disponible en: http://www.jstor.org/stable/44235000.
Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E; Pereira, F; Burges, C J; Bottou, L; Weinberger, K Q (2012) ImageNet Classification with Deep Convolutional Neural Networks. En: Advances in Neural Information Processing Systems. Vol. 25; Curran Associates, Inc.; Disponible en: https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf.
Cabrera-Rodríguez, Wilmar Alexander; Mariño-Montaña, Juan Sebastián; Quicazán-Moreno, Carlos Andrés (2019) Modelos hedónicos con efectos espaciales: una aproximación al cálculo de. En: Borradores de Economía. Vol. 1072
Pérez-Rave, Jorge Iván; Correa-Morales, Juan Carlos; González-Echavarría, Fabián (2019) A machine learning approach to big data regression analysis of real estate. En: Journal of Property Research. Vol. 36; No. 1
Trawiński, Bogdan; Telec, Zbigniew; Krasnoborski, Jacek; Piwowarczyk, Mateusz; Talaga, Michał; Lasota, Tedeusz; Sawiłow, Edward (2017) Comparison of expert algorithms with machine learning models for real. En: 2017 IEEE International Conference on INnovations in Intelligent SysTems. pp. 51-54 Disponible en: http://dx.doi.org/10.1109/INISTA.2017.8001131. Disponible en: 10.1109/INISTA.2017.8001131.
Masood, Muhammad; Hussain, Farhan; Shaukat, Arslan; Zeb, Babar; Kaleem Ullah, Rana (2019) Towards the Selection of Best Machine Learning Model for Student. pp. 12-17 Disponible en: http://dx.doi.org/10.1109/ISCMI47871.2019.9004299. Disponible en: 10.1109/ISCMI47871.2019.9004299.
Departamento Administrativo Nacional de Estadística, Dane (2022) Anexos produccion constantes IV 2021 [Data file]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/cuentas-nacionales/cuentas-nacionales-trimestrales/pib-informacion-tecnica.
Departamento Administrativo Nacional de Estadística, Dane (2018) CNPV 2018 VIHOPE v2 [Data file]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-nacional-de-poblacion-y-vivenda-2018.
Peña Talero, Sergey (2022) Ranking de plataformas de vivienda en Colombia. Disponible en: https://public.flourish.studio/visualisation/9334685/?utm_source=linkedin.
La Galería Inmobiliaria, (2019) Informe de Mercado 2019. En: Publicaciones propias de La Galería Inmobiliaria.
Sharpe, William F (1964) Capital Asset Prices: A Theory of Market Equilibrium under Conditions of. En: The Journal of Finance. Vol. 19; No. 3; pp. 425-442 : [American Finance Association, Wiley]; 0022-1082; Disponible en: http://www.jstor.org/stable/2977928.
Cárdenas Rubio, Jeisson Arley; Chaux Guzmán, Francisco José; Otero, Jesús (2019) Una base de datos de precios y características de vivienda en Colombia con. En: Revista De Economía Del Rosario. Vol. 22(1); pp. 75-100 : Universidad del Rosario; Disponible en: https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.7768; http://dx.doi.org/10.12804/revistas.urosario.edu.co/economia/a.7768. Disponible en: 10.12804/revistas.urosario.edu.co/economia/a.7768.
Gordon, M J (1959) Dividends, Earnings, and Stock Prices. En: The Review of Economics and Statistics. Vol. 41; No. 2; pp. 99-105 : The MIT Press; 0034-6535; Disponible en: http://www.jstor.org/stable/1927792.
Claus, Munk (2013) Financial Asset Pricing Theory. Vol. 1st ed; OUP Oxford; 9780199585496
Departamento Administrativo Nacional de Estadística, Dane (2019) anexos cartera IVtrim19 [Data file]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/construccion/cartera-hipotecaria-de-vivienda/cartera-hipotecaria-de-vivienda-chv-historicos.
Banco de La República, (2022) Colombia's inflation targeting strategy. Disponible en: https://www.banrep.gov.co/en/monetary-policy.
Truong, Quang; Nguyen, Minh; Dang, Hy; Mei, Bo (2020) Housing Price Prediction via Improved Machine Learning Techniques. En: Procedia Computer Science. Vol. 174; pp. 433-442 1877-0509; Disponible en: https://www.sciencedirect.com/science/article/pii/S1877050920316318; http://dx.doi.org/10.1016/j.procs.2020.06.111. Disponible en: 10.1016/j.procs.2020.06.111.
Jha, Shashi Bhushan; Pandey, Vijay; Jha, Rajesh Kumar; Babiceanu, Radu F (2020) Machine Learning Approaches to Real Estate Market Prediction Problem: A. En: CoRR. Vol. abs/2008.09922; Disponible en: https://arxiv.org/abs/2008.09922.
Lynch, Allen K; Rasmussen, David W (2001) Measuring the impact of crime on house prices. En: Applied Economics. Vol. 33; No. 15; pp. 1981-1989 : Routledge; Disponible en: https://doi.org/10.1080/00036840110021735; http://dx.doi.org/10.1080/00036840110021735. Disponible en: 10.1080/00036840110021735.
Evans, Thomas A (2012) An Estimate of the Accuracy of Hedonic Real Estate Valuations Using the. En: Economica. Vol. 79; No. 316; pp. 703-720 : [London School of Economics, Wiley, The London School of Economics and; 0013-0427; Disponible en: http://www.jstor.org/stable/23274788.
Clark, David E; Cosgrove, James C (1990) HEDONIC PRICES, IDENTIFICATION, AND THE DEMAND FOR PUBLIC SAFETY*. En: Journal of Regional Science. Vol. 30; No. 1; pp. 105-121 Disponible en: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-9787.1990.tb00083.x; http://dx.doi.org/10.1111/j.1467-9787.1990.tb00083.x. Disponible en: 10.1111/j.1467-9787.1990.tb00083.x.
Sirmans, G Stacy; MacDonald, Lynn; Macpherson, David A; Zietz, Emily Norman (2006) The Value of Housing Characteristics: A Meta Analysis. En: Journal of Real Estate Finance and Economics. Vol. 33; No. 3; pp. 215-240 0895-5638
Cook, Darren (2016) Practical Machine Learning with H2O. : O'Reilly Media, Inc.
Repositorio EdocUR-U. Rosario
Universidad del Rosario
instacron:Universidad del Rosario
Este artículo estima dos modelos de valoración de propiedades y determina cuál es más preciso para predecir los precios de los inmuebles en Bogotá. Un método considera que el precio de una vivienda se explica por su relación con inmuebles de s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab4ae56042fd583ab32e732fb6015981
https://repository.urosario.edu.co/handle/10336/34566
https://repository.urosario.edu.co/handle/10336/34566
This book constitutes the refereed proceedings of the 13th International Conference on Computational Collective Intelligence, ICCCI 2021, held in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 58 full pape
Autor:
Ngoc Thanh Nguyen, Bao Hung Hoang, Cong Phap Huynh, Dosam Hwang, Bogdan Trawiński, Gottfried Vossen
This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.•The 70 full papers presented were carefully reviewed and selecte
Autor:
Ngoc Thanh Nguyen, Kietikul Jearanaitanakij, Ali Selamat, Bogdan Trawiński, Suphamit Chittayasothorn
The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for
This volume constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 50 full papers accepted for publication in these procee
This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented we