Performance of machine learning algorithms. by Wenxue Liu (6877754)

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

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Evaluation of model performance on the bacterial mother machine dataset. by Owen M. O’Connor (11965460)

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Time-lapse microscopy movie from the bacterial mother machine test set processed by Cell-TRACTR. by Owen M. O’Connor (11965460)

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Corporate network anomaly detection methodology utilizing machine learning algorithms by Nazerke Baisholan (22048322)

Time-lapse microscopy movie from the bacterial mother machine test set processed by Cell-TRACTR and evaluated with the Cell Tracking Challenge (CTC) OP_CTB metrics. by Owen M. O’Connor (11965460)

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Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set containing 29 movies fro... by Owen M. O’Connor (11965460)

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Overall framework of our proposed tracking algorithm. by Yi Tao (178829)

Screening of palmitoylation genes based on machine learning algorithms. by Qijun Wo (12992781)

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Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

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The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Visualization of tracking results of SiamFC_TDA algorithm and comparison algorithm on challenging sequences. by Yi Tao (178829)

Performance of the proposed tracking algorithm and comparison algorithms in three datasets. The higher the metrics, the better. by Yi Tao (178829)

Machine Learning-Assisted Track Morphology Prediction in μ-LPBF with Spray-Based Powder Spreading-data.docx by min zheng (21496832)

“…A dataset is constructed, and four machine learning algorithms suitable for small datasets are employed to model key morphological features, including single-track height, width, penetration depth, and Ra, with the model demonstrating superior predictive performance (R² ≥ 0.8). …”

Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

Results of different algorithms for ship detection and tracking. by Guoqing Zhang (151441)

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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. …”

ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)