Relevant computed image data. by Zhaoyu Ku (20660546)

Multiclass comparison of algorithms on test data for KDDCup 99. by Arati Behera (19864844)

Multiclass comparison of algorithms on test data for CIC-IoT23. by Arati Behera (19864844)

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

Subjects:

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

Subjects:

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)

Definitions of relevant SSA parameters. by Yeping Shi (14279118)

Subjects:

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx by Rui Zhang (13940)

Results of RF algorithm screening factors. by Jintao Li (448681)

Relevant Parameters. by Dongyan Wang (195482)

“…Traditionally, intercity railways lack failure probability data for spare parts, which hampers the support for spare parts ordering decisions, resulting in spare parts management primarily relying on manual experience. …”

The relevant data file for this article. by Linsha Liu (20378293)

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Code and data - WST 895 thesis by Hoosain Ebrahim (14058588)

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ACROSS: Accessible country-relevant outlier selection system by Oskar Lelko (19929915)

“…We systematically develop a labeled test set of 14 countries that are considered empirical outliers across decades of political science research with respect to a diverse set of variables. Based on a new benchmark, we find that Cook’s Distance, a standard technique for anomaly detection in the political science literature, is significantly outperformed by at least 90 combinations of other outlier detection algorithms and data normalization techniques. …”