Flowchart of the specific incarnation of the BO algorithm used in the experiments. by Lisa Laux (9367681)

“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”

Identification of recurrent synapses by the smooth-index algorithm. by Alexander Borst (32619)

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Comparison of the top five upregulated and top five downregulated molecular function GO terms of Unipept with the molecular function GO terms from the other tools from the oral dys... by Ray Sajulga (5721518)

Example psychometric functions for observer DHB. by Daniel H. Baker (11559693)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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Training algorithm flow. by Xing Chen (140292)

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …”

Flowchart of one iteration of the CE-Symm algorithm. by Spencer E. Bliven (6672755)

Improved A* algorithm flowchart. by Peiying Li (797714)

“…The study conducted algorithm validation on the TurtleBot3 mobile robot, with data sourced from experimental data from a certain college. …”

Hierarchical communities obtained from CoV-human network using the “community-based” visualization option provided by UNIPred-Web. by Paolo Perlasca (9909695)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

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Flowchart of the general algorithm for one trial. by Junying Wang (509009)

DataSheet1_Mathematical algorithm–based identification of the functional components and mechanisms in depression treatment: An example of Danggui-Shaoyao-San.docx by Wenxia Gong (13277883)

“…The results demonstrated that 198 pathways were enriched by the target genes of the CIM, and 179 coincided with the enriched pathways of pathogenic genes, accounting for 90.40% of the gene enrichment pathway of the C-T network. Then the functional components group (FCG) comprising 40 components was traced from CIM based on the target coverage accumulation algorithm, after which the pathways enriched by the target genes of FCG were selected to elucidate the potential mechanisms of DSS in treating depression. …”

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" by Jiaqing Wang (18814630)

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…Initially, separate algorithms based on sequence homology are utilized to assess this variant set. …”

Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

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Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

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Fitness function parameters. by Ankita Sharma (3183054)

Prediction algorithm. by Muhammad Irfan (255476)

“…Furthermore, numerous structures of ResNet-152 and SVM are also explored to improve the regularization function, base learners and compatible selection of the parameter values with respect to fitting capabilities for the final forecasting. …”