Comparison between ILSTM and machine learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”

The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. by Qian Zhang (49333)

Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. by Tsung-Wei Ke (18297551)

Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

pone.0269685.t006 - Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting by Rajan Vohra (10689820)

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pone.0269685.t005 - Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting by Rajan Vohra (10689820)

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Summary of the results obtained using the dataset1 (Anemia original dataset). by Rajan Vohra (10689820)

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For each classification algorithm, the classification accuracies for binary subject groups NC versus EMCI, NC versus LEMC, EMCI versus LEMC, EMCI versus AD, LMCI versus AD, AD vers... by Qian Zhang (49333)

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Dataset description. by Rajan Vohra (10689820)

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Prevalence of normocytic, microcytic and macrocytic by age. by Rajan Vohra (10689820)

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Summary of the results obtained using the dataset3 (SMOTE). by Rajan Vohra (10689820)

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Prevalence of mild, moderate and severe anemia in percentage by age. by Rajan Vohra (10689820)

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Gender wise prevalence of Anemia in the study population. by Rajan Vohra (10689820)

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Summary of the results obtained using the dataset4 (SMOTE and feature selected). by Rajan Vohra (10689820)

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Prevalence of mild, moderate and severe anemia by age. by Rajan Vohra (10689820)

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Prevalence of mild, moderate and severe anemia by age. by Rajan Vohra (10689820)

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Summary of the results obtained using the dataset2 (feature selected). by Rajan Vohra (10689820)

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