Results 101 to 110 of about 1,547,225 (303)
Exploring Novel Loss Functions for Siamese Neural Network for Dissimilarity Image Classification
, 2022 reservedL'image classification è un problema molto conosciuto e studiato in Machine Learning che può essere affrontato allenando una ANN (Artificial Neural Network).
PETRUCCI, RICCARDO
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FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Optimal prediction under asymmetric loss [PDF]
Prediction problems involving asymmetric loss functions arise routinely in many fields, yet the theory of optimal prediction under asymmetric loss is not well developed.
Francis X. Diebold +1 more
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pH‐mediated activation of the lysosomal arginine sensor SLC38A9
FEBS Letters, EarlyView.Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley +1 more source
IEEE AccessEnhancing the crop yield predictability in intercropping systems is important for optimizing agricultural productivity. However, accurately predicting yield in such systems is quite challenging due to complex interactions between crops.
Amna Ikram, Waqar Aslam
doaj +1 more source
The Macroeconomic Loss Function: A Critical Note [PDF]
The standard loss function gives the same weight to positive and negative deviations from the output and inflation targets. This short note criticizes this symmetry assumption.
Thomas Mayer
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FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks
Remote SensingPansharpening is a traditional image fusion problem where the reference image (or ground truth) is not accessible. Machine-learning-based algorithms designed for this task require an extensive optimization phase of network parameters, which must be ...
Rocco Restaino
doaj +1 more source
FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function [PDF]
Based on annual data for growth and inflation forecasts for Germany covering the time span from 1970 to 2007 and up to 17 different forecasts per year, we test for a possible asymmetry of the forecasters' loss function and estimate the degree of ...
Ulrich Fritsche +2 more
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