Table 2_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

“…Finally, the single sample gene set enrichment analysis algorithm was applied to probe the immune landscape in AAA and its connection to the selected feature genes.…”

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

“…Finally, the single sample gene set enrichment analysis algorithm was applied to probe the immune landscape in AAA and its connection to the selected feature genes.…”

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Exploring the Relationship Between the Geometry of a Fixed Embedding of Image Data and Its Underlying Cluster Structure by Yan-Bin Chen (14215706)

“…<p>Standard self-supervised clustering algorithms transform input data via embedding models that are trained to fit the data and then cluster the embedded vectors. …”

Description of the real-world dataset. by Fadi K. Dib (5204807)

“…We conducted experiments on synthetic datasets with varying numbers of nodes and edges using the Erdős–Rényi model and real-world graph datasets and evaluated the quality of the generated layouts, and the performance of the methods based on number of function evaluations. We also conducted a scalability experiment on Jaya algorithm to evaluate its ability to handle large-scale graphs. …”

Screenshot of our visualization tool MGDrawVis. by Fadi K. Dib (5204807)

“…We conducted experiments on synthetic datasets with varying numbers of nodes and edges using the Erdős–Rényi model and real-world graph datasets and evaluated the quality of the generated layouts, and the performance of the methods based on number of function evaluations. We also conducted a scalability experiment on Jaya algorithm to evaluate its ability to handle large-scale graphs. …”

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

“…However, progress has been somewhat slow due to the high expenses of the experiment or the time-consuming density functional theory (DFT) calculation. In this study, we utilized the extreme gradient boosting (XGBoost) algorithm to facilitate the discovery and characterization of ABX₃ compounds based on vast data sets generated by DFT calculations. …”

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

“…However, progress has been somewhat slow due to the high expenses of the experiment or the time-consuming density functional theory (DFT) calculation. In this study, we utilized the extreme gradient boosting (XGBoost) algorithm to facilitate the discovery and characterization of ABX₃ compounds based on vast data sets generated by DFT calculations. …”

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

“…However, progress has been somewhat slow due to the high expenses of the experiment or the time-consuming density functional theory (DFT) calculation. In this study, we utilized the extreme gradient boosting (XGBoost) algorithm to facilitate the discovery and characterization of ABX₃ compounds based on vast data sets generated by DFT calculations. …”

Data_Sheet_1_Development of a fixed list of descriptors for the qualitative behavioral assessment of thoroughbred horses in the racing environment.PDF by Fernando Mosquera Jaramillo (16809879)

Data_Sheet_1_Development of a fixed list of descriptors for the qualitative behavioral assessment of thoroughbred horses in the racing environment.PDF by Fernando Mosquera Jaramillo (16809879)

Data_Sheet_1_Development of a fixed list of descriptors for the qualitative behavioral assessment of thoroughbred horses in the racing environment.PDF by Fernando Mosquera Jaramillo (16809879)

Image_2_Identification of Candidate Biomarker ASXL2 and Its Predictive Value in Pancreatic Carcinoma.tif by Gaoming Wang (10165973)

Table_1_Identification of Candidate Biomarker ASXL2 and Its Predictive Value in Pancreatic Carcinoma.xlsx by Gaoming Wang (10165973)

Image_1_Identification of Candidate Biomarker ASXL2 and Its Predictive Value in Pancreatic Carcinoma.tif by Gaoming Wang (10165973)

Table_2_Identification of Candidate Biomarker ASXL2 and Its Predictive Value in Pancreatic Carcinoma.xlsx by Gaoming Wang (10165973)

Diagram of the research route. by Débora Torres (11831483)

Shocks of events committed against Boko Haram. by Rafael Prieto-Curiel (16993295)

“…This article addresses these issues by proposing a novel technique for analysing low-frequency temporal events, such as terrorism, based on their cumulative curve and corresponding gradients. Using an iterative algorithm based on a piecewise linear function, our technique detects trends and shocks observed in the events associated with terrorist groups that would not necessarily be visible using other methods. …”

Shocks of events committed by Boko Haram. by Rafael Prieto-Curiel (16993295)

“…This article addresses these issues by proposing a novel technique for analysing low-frequency temporal events, such as terrorism, based on their cumulative curve and corresponding gradients. Using an iterative algorithm based on a piecewise linear function, our technique detects trends and shocks observed in the events associated with terrorist groups that would not necessarily be visible using other methods. …”