Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

Subjects:

Latin sampling. by Honghua Liu (15307022)

AUW-CE Mining Algorithms & Dataset Hub by Shuaikang Yuan (21091847)

“…Moreover, in response to the limitations of conventional cross-entropy methods for HUCPM, four core optimization strategies are designed: optimization of the initial probability distribution to guide the search direction, enhancement of sample diversity to prevent local convergence, dynamic adjustment of sample size to reduce redundant calculations, and incorporation of utility weights to improve the accuracy of probability updates. …”

NucB sampling: by Carlos A. Gomez-Uribe (21492788)

Alpha amylase sampling: by Carlos A. Gomez-Uribe (21492788)

PANet network design. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Flow diagram of the proposed model. by Uğur Ejder (22683228)

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BiFPN network design. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

The comparison of the accuracy score of the benchmark and the proposed models. by Uğur Ejder (22683228)

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The prediction accuracy of simple versus hybrid models. by Uğur Ejder (22683228)

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Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization by Yingying Ma (3617810)

“…Notably, the <i>D</i> of three candidates have shown significant improvements compared to the samples with similar <i>H</i> in the original data sets, with increases of 135.8, 282.4, and 194.1% respectively. …”

Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization by Yingying Ma (3617810)

“…Notably, the <i>D</i> of three candidates have shown significant improvements compared to the samples with similar <i>H</i> in the original data sets, with increases of 135.8, 282.4, and 194.1% respectively. …”

The accuracy score change matrix following model development. by Uğur Ejder (22683228)

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Performance of the optimal classifiers on each feature list. by Wenwei Wu (9352541)

Data_Sheet_1_Critical Evaluation of Metaheuristic Algorithms for Weight Minimization of Truss Structures.docx by Aristotelis E. Charalampakis (7454258)

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). by Uğur Ejder (22683228)

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Three sensor sample data with noise data. by Tang Ruipeng (20141334)

Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. by Uğur Ejder (22683228)

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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. by Uğur Ejder (22683228)

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Third setting: batch optimization. by Camille Gontier (9442304)