Conventional versus quantitative mosaic analysis. by Sebastian M. Bernasek (8525829)

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Automated unsupervised annotation of clones in the larval eye. by Sebastian M. Bernasek (8525829)

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Perturbing gene expression via mitotic recombination. by Sebastian M. Bernasek (8525829)

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Automated correction of fluorescence bleedthrough in the larval eye. by Sebastian M. Bernasek (8525829)

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APSO–WOA–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

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Changes in loss values for different algorithms. by Xiaojun Wang (50332)

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Recursive attention function and loss function change. by Wang Linfeng (17102068)

KA-injected rats display deficits in gross hindlimb function after two weeks. by Naëmi Kuehn (17310359)

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Comparison of the curves of the DCIOU loss function and the CIOU loss function. by Xunqian Xu (21261899)

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Loss Function Comparison. by Hongwei Yue (574068)

Loss Function Comparison. by Hongwei Yue (574068)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Loss function curve. by Xiangqian Xu (17310895)

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APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

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An Adapted Loss Function for Censored Quantile Regression by Mickaël De Backer (5166839)

“…For practical minimization of the studied loss function, we also provide a simple algorithmic procedure shown to yield satisfactory results for the proposed estimator with respect to the existing literature in an extensive simulation study. …”

The losses of the training process before and after the optimization of loss function. by Peihan Wen (6324315)

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Loss function and accuracy curve comparison. by Dayu Zhang (710629)

BEs with different loss functions. by Qin Gong (118801)

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