Results 81 to 90 of about 7,812,445 (274)

Automated valuation models (AVMs) in commercial real estate market [PDF]

, 2019
Automated valuation models (AVMs) have gained popularity and widely adopted in many research domains. In residential real estate, AVMs have been used to predict the price of houses, apartments and increasingly showed their effectiveness. Their advantages
Nguyen, Diem
core   +1 more source

Predicting Soccer Player Salaries with Both Traditional and Automated Machine Learning Approaches

Applied Sciences
Soccer’s global popularity as the world’s favorite sport is driven by many factors, with high player salaries being one of the key reasons behind its appeal.
Davronbek Malikov, Pilsu Jung, Jaeho Kim
doaj   +1 more source

Using cell‐free RNA to identify B‐ and T‐cell clonality for diagnosis and monitoring of B‐ and T‐cell neoplasms

FEBS Open Bio, EarlyView.
Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar, Sally Agersborg, Ahmed Charifa, Pooja Phull, Noa Biran, David Vesole, Harsh Parmar, Andrew Pecora, Andrew Ip, Andre Goy, David Siegel, Maher Albitar   +11 more
wiley   +1 more source

Automated valuation models for real estate portfolios

Journal of Property Investment & Finance, 2018
PurposeAs regards the assessment of the market values of properties that compose real estate portfolios, the purpose of this paper is to propose and test an automated valuation model. In particular, the method defined allows for providing for objective, reliable and “quick” valuations of the assets in the phases of periodic reviews of the property ...
Francesco Tajani, Pierluigi Morano, Klimis Ntalianis   +2 more
openaire   +2 more sources

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

FEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source

Uncertainty quantification in automated valuation models with spatially weighted conformal prediction

International Journal of Data Science and Analytics
Abstract Nonparametric machine learning models, such as random forests and gradient boosted trees, are frequently used to estimate house prices due to their predictive accuracy, but a main drawback of such methods is their limited ability to quantify prediction uncertainty.
Anders Hjort, Gudmund Horn Hermansen, Johan Pensar, Jonathan P. Williams   +3 more
openaire   +3 more sources

Ethical Foreground and Background in Adult Educator Work

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Adult educators work in a complex ethical environment. The very act of contributing to the learning of another is fraught with moral overtones. In this paper we consider the ethical dimensions of adult educator practice by distinguishing the ethical features of the context or ‘background’ of practice from the ethical capabilities and decision ...
Steven Hodge, Sonal Nakar
wiley   +1 more source

A BIM and machine learning integration framework for automated property valuation [PDF]

Property valuation contributes significantly to market economic activities, while it has been continuously questioned on its low transparency, inaccuracy and inefficiency.
Su, Tengxiang
core   +3 more sources

Learning the Value of Place: Machine Learning Models for Real Estate Appraisal in Istanbul’s Diverse Urban Landscape

Buildings
The prediction of real estate values is vital for taxation, transactions, mortgages, and urban policy development. Values can be predicted more accurately by statistical or advanced methods together when the size of the data is huge.
Ahmet Hilmi Erciyes, Toygun Atasoy, Abdurrahman Tursun, Sibel Canaz Sevgen   +3 more
doaj   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source