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

Result analysis of XAI-based LIME method: (a) produced mask and output for benign samples and (b) produced mask and output for melanoma samples. by Shuvo Biswas (21728782)

<b>Automated transcoloration? Skin tone classification algorithms and the prominence of non-epidermic features in the Mexican racial schema</b> by Rene Rejon (6026429)

“…<p dir="ltr">The scale of anti-racist research employing independent measures for skin tone (i.e., classification algorithms and colorimeters) is increasingly growing. …”

Performance metrics of the proposed DRSA-based model. by Saim Chishti (22272188)

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Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation by Leonardo Bernal (22461790)

Algorithm stages for the clustering phase. by Julien Roche (611898)

“…Accurate classification of SNPs is achieved through multiple thresholds of quality controls. …”

AUC score comparison table for all the deep learning algorithms. by Khandaker Mohammad Mohi Uddin (13124356)

Results of oil detection accuracy under different oil status conditions for each algorithm. by Shiya Gao (12693389)

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Optimization process of adaptive weight adjustment based on the SCSO. by Fengning Liang (20927493)

Overview of mobile-edge-cloud server-based system. by Shehr Bano (20421706)

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Visualization of model prediction results (heatmaps) indicating the classification confidence of each pixel. by Qingyang Wang (460264)

Performance comparison from Clinician face value of SVM and PDCA for endotype classification. by Viswanathan Baskar (1782799)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Evaluation of classification models using ROC curves. by Isabela Bittencourt Basso (14178739)

Recent advances in the classification of diverse fish species using state-of-the-art ML and DL. by Ebru Ergün (21395498)

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Top features identified by the stepwise additive feature selection algorithm. by Kylie K. Hornaday (9713558)

Confusion matrix heatmap for the proposed DRSA-based model. by Saim Chishti (22272188)

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Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. by Abeer Aljohani (18497914)

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Evaluation of classification models using ROC curves, for testing and cross-validation. by Aline Xavier Ferraz (19544919)

Multibranch network structure based on edge optimization and category awareness. by Zhuolin Yang (14658411)