The benchmark functions. by Shuhui Yu (1535500)

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Algorithm. by Daniel Sanchez-Taltavull (11654630)

Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”

Framework of the proposed signal control algorithm. by Hyosun Lee (1567246)

The image of the Aekley function. by Zhengyu Xu (8550660)

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Output is given by the vascular response, measured as the change in speed of red blood cells flowing inside a capillary proximal to the recorded neuronal activation (in yellow, right panel). Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Flowchart for Algorithm 1. by Sagvan Y. Musa (17797611)

Flowchart for Algorithm 2. by Sagvan Y. Musa (17797611)

The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

“…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…”

Gillespie algorithm simulation parameters. by Nicholas H. Vitale (20469289)

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AUC scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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Recall scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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Comparison of different algorithms. by Dawei Wang (471687)

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Continuous Probability Distributions generated by the PIPE Algorithm by LUIS G.B. PINHO (14073372)

“…<div><p>Abstract We investigate the use of the Probabilistic Incremental Programming Evolution (PIPE) algorithm as a tool to construct continuous cumulative distribution functions to model given data sets. …”

F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

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Knowledge graph model rating function. by Chunjuan Li (7890182)

Comparison of the performance of both models against 13 other models on the independent test dataset. by Aastha Vatsyayan (9981916)