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SSRN
CCP Auction Design
SSRN
Model Risk at Central Counterparties: Is Skin-in-The-Game a Game Changer?
In: BIS Working Paper No. 866
SSRN
Working paper
Constrained Liquidity Provision in Currency Markets
In: University of St.Gallen, School of Finance Research Paper No. 2021/16
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HFTs and Dealer Banks: Liquidity and Price Discovery in FX Trading
In: FCA Occasional Paper 63, 2023
SSRN
An improved method for predicting soluble solids content in apples by heterogeneous transfer learning and near-infrared spectroscopy
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 203, p. 107455
SSRN
SSRN
Working paper
Early contamination warning of Aflatoxin B1 in stored maize based on the dynamic change of catalase activity and data fusion of hyperspectral images
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 217, p. 108615
Assessment of protein content and insect infestation of maize seeds based on on-line near-infrared spectroscopy and machine learning
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 211, p. 107969
Detection of pears with moldy core using online full-transmittance spectroscopy combined with supervised classifier comparison and variable optimization
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 200, p. 107231
Label-free detection of maize kernels aging based on Raman hyperspcectral imaging techinique
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 200, p. 107229
Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging
In: Computers and Electronics in Agriculture, Volume 127, p. 582-592
Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches (Prunus persica)
In: Computers and Electronics in Agriculture, Volume 114, p. 14-24
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Volume 193, p. 106715