Out-of-distribution prediction and performance of predictive models as a function of sample diversity. by Oualid Benkarim (9707986)

Algorithm used for important sampling of the likelihood function. by Zhiyong Huang (3620000)

Confusion matrices of machine learning models trained on data oversampled by SMOTE and data trained with class weights given to the loss function. by Lucas Teoh (12878206)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas by Natalie Weed (7345124)

“…<div><p>The mammalian neocortex is subdivided into a series of cortical areas that are functionally and anatomically distinct and are often distinguished in brain sections using histochemical stains and other markers of protein expression. …”

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”

Fig 1 - by Anant Shinde (3954662)

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The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation. by Anant Shinde (3954662)

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VAS tolerability scores (min = 0, max = 10) of all sessions of all participants. by Anant Shinde (3954662)

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Fig 6 - by Anant Shinde (3954662)

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Accuracy across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

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Data preprocessing flow-chart. by Anant Shinde (3954662)

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Accuracy of models to classify different stimulations. by Anant Shinde (3954662)

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ROC and MCC across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

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Fig 2 - by Anant Shinde (3954662)

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Fig 5 - by Anant Shinde (3954662)

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Pseudo algorithm of the GA algorithm used in this study. by Tuan Anh Pham (1346049)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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The PS-VAE enables a detailed brain region-to-behavior mapping in the two-view mouse dataset. by Matthew R. Whiteway (11467528)

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