Step-by-step, indirect, deterministic record linkage algorithm for FREGAT and SNDS databases. by Magali Laborey (22582224)

The structure diagram of the BS-CP algorithm. by Jiaqi Liu (309587)

“…However, learning the CP model in a Bayesian framework, though promising to handle data sparsity and noise, is computationally challenging, especially with fast produced data streams. …”

Visualization of learned features via t-SNE. by Song Wu (36667)

“…Compared to traditional classification methods, the improved spectral clustering algorithm demonstrated better adaptability to data distribution and superior clustering performance. …”

Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms by Xingan Chen (11334186)

Confusion matrix for Random Forest algorithm (3000 Number of trees) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Performance metrics of best algorithms for multiclass classification by serogroup of bacterial meningitis with hyperparameter tuning. by Audêncio Victor (10400699)

Table 1_Predicting financial distress in TSX-listed firms using machine learning algorithms.docx by Mark Eshwar Lokanan (20344707)

“…Introduction<p>This study investigates the application of machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict financial distress in companies. …”

Results of sample disease state prediction using SVM algorithm with DA taxa identified by DESeq2-phyloseq as features, before and after imputation by TphPMF. by Xinyu Han (2237545)

Results of sample disease state prediction using XGBoost algorithm with DA taxa identified by DESeq2-phyloseq as features, before and after imputation by TphPMF. by Xinyu Han (2237545)

This section provides medical data tables used in the experiment. by Jingjing Ma (419752)

Data and code. by Hao Cao (2248066)

Subjects:

ROC curve analysis of machine learning algorithms with balanced data before tuning (A) and after optimized with hyper parameter tuning (B). by Alemu Birara Zemariam (17540938)

“…<p>ROC curve analysis of machine learning algorithms with balanced data before tuning (A) and after optimized with hyper parameter tuning (B).…”

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

The temperature sensor readings with the original temperature and learning to Kalman filter algorithm prediction results (each plot represent results for 200 data instances). by Junaid Khan (4276162)

“…<p>The temperature sensor readings with the original temperature and learning to Kalman filter algorithm prediction results (each plot represent results for 200 data instances).…”

The goodness of fit criteria results in all algorithms for optimal hyperparameter values. by Sevtap Tırınk (22394716)

Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf by Thiago Fellipe Ortiz de Camargo (19460818)

“…Artificial Intelligence (AI) algorithms could be of great help, but using real-world data is crucial to ensure their effectiveness in diverse healthcare settings. …”

Performance evaluation of ML regression models using RMSE. by Marwah Salman (22593380)

Subjects:

ML regression methods and corresponding regressors used in LPA. by Marwah Salman (22593380)

Subjects:

(A) PPI network of Co-genes. (B-D) Three blue, green, and red gene clusters were obtained using k-means for Co-genes. (E) Processing PPI data for Co-genes using Cytoscape. (F) Analyzing PPI data for Co-genes using the Degree algorithm. (G) Analyzing PPI data for Co-genes using the Betweenness algorithm. by Qingcong Zheng (11169094)

“…(F) Analyzing PPI data for Co-genes using the Degree algorithm. (G) Analyzing PPI data for Co-genes using the Betweenness algorithm.…”