Coarse-fine optimization algorithm. by Chao Ma (207385)

“…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …”

Algorithm for matching a DICOM file obtained from PACS with a radiology report collected from HIS. by Thao Nguyen (51638)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

“…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”

Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin. by Cihat Erdogan (12529243)

The benchmark functions. by Shuhui Yu (1535500)

GELU function. by Yuanzhou Zheng (15195249)

Types of training algorithms. by Caixia Yan (6647072)

Table_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Table_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Image_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Presentation_3_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Presentation_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Table_3_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”

Supplementary Table 7 from Integrative Genomic Analysis Predicts Causative <i>Cis</i>-Regulatory Mechanisms of the Breast Cancer–Associated Genetic Variant rs4415084 by Yi Zhang (9093)

Test function information. by Chuang Zhang (2199421)

“…By non-parametric statistical analysis, MSIPOA shows a greater superiority over other optimization algorithms. The MSIPOA algorithm is then experimented with symmetric cross-entropy multilevel threshold image segmentation, and eight images from BSDS300 are selected as the test set to evaluate MSIPOA. …”

Samples from IPPs with a mixture of squared exponential intensity function (<i>p</i> = 2). by M. Hassan Tanveer (9596437)

Detailed schematics of the algorithm developed to map and filter protein lists from one organism to another (ortholog identification). by Silvia Ambrós (11037668)

Signal detection algorithm adapted from [1] yields exponential distributions and unrealistic mean durations of percepts. by Quynh-Anh Nguyen (847240)

“…(Bottom) Trial-by-trial applications of the signal detection algorithm from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>] with A: <i>C</i>_<i>th</i> = 4.01 and B: <i>C</i>_<i>th</i> = 4.21 yield exponentially distributed subsequent percept durations for <i>I</i> (blue) and <i>S</i> (red). …”