Involvement of POm increases as discriminability of texture stimuli decreases. by Jia Qi (400499)

List of 421 genes whose expression is increased by galactose and decreased by any of the HAT inhibitors. by Masaya Nagaya (13851123)

List of 412 genes whose expression is decreased by galactose and increased by any of the HAT inhibitors. by Masaya Nagaya (13851123)

Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

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Prototype-based model explainability. by Sebastian Medina (5788011)

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Framework of Chinese text sentiment classification model based on CNN. by Ganggang Guo (48117)

Vehicle classification model based on depthwise separable convolution and ICBAM. by Qifeng Niu (22662531)

“…<p>Vehicle classification model based on depthwise separable convolution and ICBAM.…”

Bi-LSTM-based classification model that utilizes tag-and-text. by Sumi Kato (5497337)

Sensor-based human activity classification techniques. by Sarmela Raja Sekaran (19415634)

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PD classification results of classification with the Triplet 50 model. by Luis F. Gomez (14559141)

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PD classification results of classification with the Triplet 75 model. by Luis F. Gomez (14559141)

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ROC curves for diabetes classification models. by Dawid Majcherek (8157108)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values. by Oswaldo Maillard (20660661)

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

Performance indexes of each class classification in the quinary classification model with ensemble learning. by Ruixuan Li (7512485)

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Performance indexes of each class classification in the ternary classification model with ensemble learning. by Ruixuan Li (7512485)

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Significantly Enriched Pathways. by Jiyong Zhang (2498740)

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Classification Report for Deep Learning Models. by Jacqueline Jia Hsin Hu (22783501)

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Classification accuracies of the three models. by Yeping Shi (14279118)

“…In tests comparing the performance of the SSA-BPNN, support vector machine (SVM), and random forest (RF) models, the SSA-BPNN achieves a 99.1% classification accuracy, better than the SVM and RF models. …”

Differentially expressed genes (DEGs) exhibiting both increased and decreased expression levels. by Liwen Wang (276995)