Fusion methods comparison. by Wei Liao (166135)

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Flowchart of the artificial bee colony algorithm. by Wei Su (89824)

“…Inertia weights and acceleration coefficients are utilized to change the hyperparameters of the optimization model to achieve high-precision prediction of shale reservoir porosity using data-driven methods. The model inputs include compensating neutron log (CNL), density log (DEN), photoelectric absorption cross-section index (PE), and gamma ray log (GR) parameters. …”

Estimation error of candidate methods with a threshold of 0.1, showing how estimation error varies with sample size. by Lulu Pan (8977979)

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Fig 1 - A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes by Ihab Hashem (21156806)

Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

“…Data from Beth Israel Deaconess Medical Center (BIDMC), USA, were used for external validation. …”

GMM-KVS method flowchart. by Jingnan Yan (20727331)

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Schematic diagram of the elbow method. by Jingnan Yan (20727331)

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Performance comparison for different algorithms reported in terms of bootstrapped canonical correlation of each component. by Shashwat Kumar (19120858)

The summary of all method in related work. by Shayesteh Tabatabaei (12280016)

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An example of a solution in the proposed method. by Shayesteh Tabatabaei (12280016)

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Distribution of articles by augmentation method. by Rodrigo Gutiérrez Benítez (19746443)

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Supplementary file 1_Trends in the use of validated claims-based algorithms in Japanese post-marketing database studies.docx by Chieko Ishiguro (14666444)

“…</p>Method<p>We reviewed all Japanese risk management plans published until January 2023, identifying four issue types [Effectiveness Issues (EI), Important Identified Risks (IIR), Important Potential Risks (IPR), and Important Missing Information (IMI)] that were planned to use a claims-based algorithm in post-marketing database studies. …”

Consensus and single-method networks inferred on the liver cirrhosis dataset, followed by CORE-clustering algorithm to identify the microbial guilds. by Camille Champion (15238934)

Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

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Generator loss of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

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System model of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

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Models outperformed by the model with same feature set but compressed, Bitcoin OTC dataset, fraction. by Agata Skorupka (20469080)

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Node statistics for TwiBot-20, Bitcoin OTC and Bitcoin Alpha datasets. by Agata Skorupka (20469080)

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NLP feature set variables for TwiBot-20. by Agata Skorupka (20469080)

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Models outperformed by the model with same feature set but compressed, Bitcoin Alpha dataset, fraction. by Agata Skorupka (20469080)

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