The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

Evaluation metrics graphs for different loss functions. by Huiying Zhang (200681)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

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Loss functions used in the synthetic data analysis to assess the numerical accuracy of the B-net and D-net estimates. by Jarod Smith (11999040)

Prediction of oncogenes (OG), tumor suppressors (TS) and loss of function (LOF) mutations. by Oveis Jamialahmadi (6619289)

The resultant loss curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

Comparison of overall (a) Accuracy and (b) Label request results between ROAL and AOL. by Honglan Huang (341951)

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An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

“…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b>⁰ (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …”

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Verification of the in-line PS function. by Raul Castañeda (13932971)

Skeletonisation algorithm. by Jordan Hembrow (16908051)

Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. by Andrew H. Talal (8727396)

Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. by Andrew H. Talal (8727396)

(a) ROAL Accuracies and (b) ROAL label requests per episode for the 1^st, 2^nd, 5^th, and 10^th instances of all classes. by Honglan Huang (341951)

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Structural diagram of the overall SCF-YOLO algorithm. by Yazhou Li (277980)

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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…Inertia was calculated using the scikit learn module in Python. B) Resulting cluster distance from hierarchical clustering to averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

“…<p>(A) Overview of the experimental approach (B) Schematic of the eVIP decision tree-based eVIP algorithm. …”

The resultant accuracy curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

Multiresolution Spectro-Temporal Sound Analysis (MRSTSA) algorithm. by Dario Dematties (6812390)

The variation process of various loss functions before and after model improvement. by Zhenwei Li (834360)