Results 231 to 240 of about 3,240,961 (284)

Exploiting explanations for model extraction via knowledge distillation and mitigation with private counterfactuals. [PDF]

Front Artif Intell
Ezzeddine F, Giordano S, Ayoub O.
europepmc   +1 more source

Array comparative genomic hybridisation in haematological malignancies: A comprehensive review. [PDF]

Afr J Lab Med
Ellaithi MMH, Osman HA.
europepmc   +1 more source

Time-series dataset of air temperature, fruit surface temperature and humidity in commercial apple cold storage. [PDF]

Data Brief
Jedermann R, Hoffmann TG, Neuwald DA, Büchele F, Mahajan PV.   +4 more
europepmc   +1 more source

Enhancing product quality incorporating additive manufacturing on recycled inventory system with deterioration and delayed payment. [PDF]

Sci Rep
Priskilla B, Mahapatra GS, Bahubalendruni MVAR, Balasubramanian D, Kale U, Kilikevičius A.   +5 more
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Crop insurance as a climate risk management tool: Evidence from three districts of Punjab, Pakistan. [PDF]

PLoS One
Khan M, Sidhu KA, Waraich YM, Ghardallou W.   +3 more
europepmc   +1 more source

Day-ahead active and reactive power scheduling of wind turbines and battery energy storage systems for power loss and CO2 emission reduction in AC microgrids. [PDF]

PLoS One
Sanin-Villa D, Vega HP, Baier CR, Gil-González W, Grisales-Noreña LF.   +4 more
europepmc   +1 more source

Disentangling the Effects of Counterfactual Feedback on Maximization and Risk Preference across Gains and Losses

Shiravand A, Gueguen M, Bavard S, Wulff D, Bastin J, Palminteri S.   +5 more
europepmc   +1 more source

The Expected Rate of Credit Losses on Banks' Loan Portfolios

SSRN Electronic Journal, 2013
ABSTRACT Estimating expected credit losses on banks' portfolios is difficult. The issue has become of increasing interest to academics and regulators with the FASB and IASB issuing new regulations for loan impairment. We develop a measure of the one-year-ahead expected rate of credit losses (ExpectedRCL) that combines various measures of
Trevor S. Harris, Urooj Khan, Doron Nissim   +2 more
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The Decision Usefulness of Current Expected Credit Losses: Users’ Views about the Current Expected Credit Losses Model

Behavioral Research in Accounting
ABSTRACT In 2016, the Financial Accounting Standards Board (FASB) issued ASU 2016-13, “Financial Instruments—Credit Losses,” requiring firms to switch to a current expected credit losses (CECL) model. To assess the impact of this new standard, we performed semistructured interviews with analysts, trade group members, and financial ...
Michael Wynes
exaly   +2 more sources