Average objectives and optimality gaps of algorithms on problem instances of varying scales. by Panfei Li (22379086)

Example of subsampling process. by Sofia P. Miranda (11418930)

Performance of KF and STOK on a simple simulated bivariate AR(1) process. by D. Pascucci (7664165)

Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

“…In each figure, we depict the results of repeat runs of the estimation process with varying random initialization conditions and optimization function weights. …”

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

Boxplots illustrating key metrics of the model optimization process for infection periods ranging from 8 to 20 days. by Hélder Seixas Lima (18840636)

Payoff analysis with varying start point bias, boundary separation or strength of the social drift. by Alan N. Tump (9621750)

Calibration curves for the test set of four models. by Meng Cao (105914)

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SHAP bar plot. by Meng Cao (105914)

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ROC curves for the test set of four models. by Meng Cao (105914)

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Display of the web prediction interface. by Meng Cao (105914)

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Sample screening flowchart. by Meng Cao (105914)

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Descriptive statistics for variables. by Meng Cao (105914)

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SHAP summary plot. by Meng Cao (105914)

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Performance metrics of the models on the training and test set. by Meng Cao (105914)

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Different steps of the experiment and data processing. by Isabel Barradas (20614853)

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)