Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

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WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm. by Adhiraj Nath (17118269)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

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AIF and VOF derived features used to feed the machine learning algorithms. by Ezequiel de la Rosa (11361108)

Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…The CatBoost algorithm outperformed other algorithms used in this study, with the best correlation score for the testing dataset having 0.9934. …”

Calculation results of commonly used machine learning algorithm models. by Qianhui He (13522729)

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

“…In this article, we describe how unsupervised novelty detection algorithms can be used to automate the interpretation of blood flow data to improve outcomes through early detection of adverse cardiovascular events without requiring repeated check-ups in a clinical environment. …”

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

“…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). …”

Characterization and Classification Using Autoregressive Modeling and Machine Learning Algorithms by Noushin R. Farnoud (4925308)

Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

Flowchart of the specific incarnation of the BO algorithm used in the experiments. by Lisa Laux (9367681)

“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. by Ying Li (38224)

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. by Ying Li (38224)

Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

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