Data Sheet 1_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.docx by Ming Xie (420493)

“…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data. by Nick Birk (15444728)

“…<p>Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data.</p>…”

IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

Subjects:

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

Subjects:

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

Subjects:

Accuracy of cross-prediction classification (PR-AUC) results using two classification algorithms for the two CRC datasets by Yu et al. [ by Xinyu Han (2237545)

FIS image analysis using the semi-automatic algorithm. by Anna Demchenko (18449439)

LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

The average running time of all competing algorithms. by Genliang Li (5816264)

Subjects:

Boxplots of classification error rates for all algorithms. by Genliang Li (5816264)

Subjects:

Boxplots of feature subset size for all algorithm. by Genliang Li (5816264)

Subjects:

The Search process of the genetic algorithm. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

<b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b> by Marly G F Costa (19812192)

Supplementary data for "Algorithm-level data-guided correction for class imbalance in biological machine learning predictions: Protein interactions as a case" by Ebrahim Barzegari (21152114)

“…Correct and efficient use of algorithm-level methods, on the other hand, needs paying heed to data structure and content. …”

Data Sheet 1_Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty.pdf by Yanchen Wang (13251966)

“…One approach to improve trustworthiness and fairness in AI systems is to use bias mitigation algorithms. However, most bias mitigation algorithms require data sets that contain sensitive attribute values to assess the fairness of the algorithm. …”

Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf by Jan Benedict Spannenkrebs (20595722)

“…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …”

Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

Subjects:

Performance of algorithms and clinician on clinical outcomes task. by Andrew McDonald (2307400)

Subjects:

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…These classification algorithms often requires conversion of a medical data to another space in which the original data is reduced to important values or moments. …”