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

Subjects:

Algorithm process. by Wei Cui (92129)

“…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …”

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

Data generation algorithm. by Aluwani Ramalata (21262977)

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Subjects:

Exploration and development process of planets. by Yu Jie Guang (22184340)

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…The training of the knowledge graph embedding model is similar to that of many models, which requires a large amount of data for learning to achieve the purpose of model development. …”

User satisfaction scores for different algorithms. by Qingnan Ji (22662198)

Subjects:

Algorithm flowchart. by Mingyi Huo (21743594)

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

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. 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)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. 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)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. 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. …”

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

Improve algorithm settings. by Hui Zhao (7395)

Subjects:

The processed data and results of manuscript "A Unified Framework for Deciphering Cellular Dynamics byLearning and Interpreting Vector Field" by Ruihong Xu (19517776)

Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

Illustration of the Noisy Student algorithm proposed by [30]. by Martin Wutke (19786999)