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Machine Learning Algorithms and Fine Art Pricing
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inferredcites →https://doi.org/10.1002/hec.2927openalex-extracted
HIGHLIGHTING DIFFERENCES BETWEEN CONDITIONAL AND UNCONDITIONAL QUANTILE REGRESSION APPROACHES THROUGH AN APPLICATION TO ASSESS MEDICATION ADHERENCE
inferredcites →https://doi.org/10.1007/978-3-642-57338-5_6openalex-extracted
Quantile Models and Estimators for Data Analysis
inferredcites →https://doi.org/10.1007/bf00148268openalex-extracted
The relevance of hedonic price indices
inferredcites →https://doi.org/10.1007/bf00344251openalex-extracted
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
inferredcites →https://doi.org/10.1007/s10462-020-09896-5openalex-extracted
A comparative analysis of gradient boosting algorithms
inferredcites →https://doi.org/10.1016/0014-2921(94)00057-7openalex-extracted
On pricing the priceless: Comments on the economics of the visual art market
inferredcites →https://doi.org/10.1016/j.econlet.2009.03.025openalex-extracted
Reconsidering hedonic art price indexes
inferredcites →https://doi.org/10.1016/j.econmod.2019.03.011openalex-extracted
Art in Africa: Hedonic price analysis of the South African fine art auction market, 2009–2014
inferredcites →https://doi.org/10.1016/j.ememar.2020.100788openalex-extracted
Measuring alternative asset prices in an emerging market: The case of the South African art market
inferredcites →https://doi.org/10.1016/j.eswa.2011.06.060openalex-extracted
QBoost: Predicting quantiles with boosting for regression and binary classification
inferredcites →https://doi.org/10.1016/j.mlwa.2023.100516openalex-extracted
Machine learning for an explainable cost prediction of medical insurance
inferredcites →https://doi.org/10.1016/j.qref.2011.02.001openalex-extracted
A model for pricing Italian Contemporary Art paintings at auction
inferredcites →https://doi.org/10.1016/j.qref.2021.01.005openalex-extracted
The more you know, the better: A Heckman repeat-sales price index
inferredcites →https://doi.org/10.1016/j.ymssp.2020.107398openalex-extracted
1D convolutional neural networks and applications: A survey
inferredcites →https://doi.org/10.1016/s1574-0676(06)01026-xopenalex-extracted
Chapter 26 Art Auctions
inferredcites →https://doi.org/10.1023/a:1013385830304openalex-extracted
Determinants of Prices for Contemporary Art in Dutch Galleries, 1992–1998
inferredcites →https://doi.org/10.1080/00213624.2001.11506429openalex-extracted
Creative Industries: Contracts between Art and Commerce
inferredcites →https://doi.org/10.1080/07335113.1985.9942162openalex-extracted
Unnatural Value: Or Art Investment as Floating Crap Game
inferredcites →https://doi.org/10.1080/1540496x.2016.1145113openalex-extracted
Which Part of the Chinese Art Market Is More Worth Investing In? Applying the Quantile Regression to Analyze Chinese Oil Paintings 2000–2014
inferredcites →https://doi.org/10.1093/oso/9780190657895.001.0001openalex-extracted
The Economics of American Art
inferredcites →https://doi.org/10.1093/rfs/hhaa009openalex-extracted
Empirical Asset Pricing via Machine Learning
inferredcites →https://doi.org/10.1093/rfs/hhv062openalex-extracted
Does it Pay to Invest in Art? A Selection-Corrected Returns Perspective
inferredcites →https://doi.org/10.1109/5.726791openalex-extracted
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00203openalex-extracted
An Analysis of Multi-Modal Deep Learning for Art Price Appraisal
inferredcites →https://doi.org/10.1201/9781315108230openalex-extracted
Feature Engineering and Selection
inferredcites →https://doi.org/10.1257/jep.3.3.23openalex-extracted
How Auctions Work for Wine and Art
inferredcites →https://doi.org/10.1287/mnsc.1120.1580openalex-extracted
Buying Beauty: On Prices and Returns in the Art Market
inferredcites →https://doi.org/10.2139/ssrn.2280099openalex-extracted
Does it Pay to Invest in Art? A Selection-Corrected Returns Perspective
inferredcites →https://doi.org/10.2139/ssrn.4374213openalex-extracted
Predicting Individual Corporate Bond Returns
inferredcites →https://doi.org/10.3386/w30805openalex-extracted
Growing the Efficient Frontier on Panel Trees
inferredcites →https://doi.org/10.3905/jai.2011.14.2.089openalex-extracted
The “Right” Price for Art Collectibles: A Quantile Hedonic Regression Investigation of Picasso Paintings
inferredcites →https://doi.org/10.4018/978-1-59140-670-9.ch001openalex-extracted
Artificial Neural Networks
inferredcites →https://doi.org/10.4337/9781035335152.00039openalex-extracted
Unnatural Value: or Art Investment as Floating Crap Game
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
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