Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

Source code for DDQR and GeCo3 compression rate calculation. by Yujun Wang (1947196)

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Source code for GeCo3 compression rate calculation using simulated data. by Yujun Wang (1947196)

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Source code for GeCo3 compression rate calculation using real data. by Yujun Wang (1947196)

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Comparison of compression rates of DDQR and Geco3 using simulated data around the region where the performance of DDQR exceeds that of GeCo3. by Yujun Wang (1947196)

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Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

“…<p>Performance profile of the four algorithms based on the function value of iteration number.…”

A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

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Identification and functional analysis of hub genes. by Wei Ya Lan (22403712)

“…(E) GO enrichment analysis of shared candidate genes, showing the top three terms for biological process (BP), cellular component (CC), and molecular function (MF).…”

Comparison of algorithm performance in ZDT3 and ZDT4 function tests. by Tao Dong (15551)

“…<p>Comparison of algorithm performance in ZDT3 and ZDT4 function tests.…”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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Comparison of performance metrics of three algorithms. by Junjie He (700642)

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Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

Comparison of site selection results of three algorithms. by Junjie He (700642)

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Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Output results based on three algorithms. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

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