Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

The machine learning framework implemented in the present work. by Akshansh Mishra (21001499)

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

Main code. by Jingguo Bi (21439766)

Data sets implemented for analysis. by Nan Huang (464390)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

Short-version of my talk "On networks and deep learning" at ICERM 2024 Algorithmic Advances and Implementation Challenges: Developing Practical Tools for Phylogenetic Inference by Claudia Solis-Lemus (19964739)

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

FedSTA-code by Zishu Zhou (22389424)

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Chromosome coding. by Junjie He (700642)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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Perceptron learning with the calcitron. by Toviah Moldwin (10866708)

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Supplementary Material for: Implementation of machine learning algorithms to screen for advanced liver fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD): an in-depth explanatory analysis by Dabbah S. (19947807)

Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability by Okechukwu Paul-Chima Ugwu (21578037)

The superiority of the proposed approach compared to the current state-of-the-art algorithms. by Ailian Gao (20629841)

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