Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Data and code resources. by Sam Hall-McMaster (10343795)

Subjects:

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

“…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …”

The construction process of the CGO prediction model. by Wenbing Shi (5806160)

Subjects:

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

Subjects:

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

Subjects:

Improve algorithm process. by Ziwei Wu (11386352)

The GTO algorithm process. by Yulin Li (36434)

The process of using the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

“…All are placed into three dimensionality reduction methods, which are then processed in a k-means clustering algorithm with k = 2 to represent good and bad figures. …”

Algorithm process. by Wei Cui (92129)

Traditional versus algorithmic process. by Minerva A. Orellana (21553459)

“…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …”

Algorithmic versus integrative process. by Minerva A. Orellana (21553459)

“…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …”

Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. by Daniel Suárez-Barrera (22676654)

Subjects:

Optimization process of BO algorithm. by Hoa Thi Trinh (20347834)

“…Bayesian optimization (BO) algorithms, including BO—Gaussian Process, BO—Random Forest, and Random Search methods, were used to refine the XGBoost model architecture. …”

The segmentation process of this new algorithm. by Niu Meng (22032810)

“…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”

The execution process of DPC algorithm. by Niu Meng (22032810)

“…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”

The process chain of the de-jitter algorithm. by Hannes Benecke (17409369)

Subjects:

GA pseudo-code. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Conformance checking metrics comparisons using two algorithms. by Mohammad Bakhtiari (11838264)

Algorithm optimization process. by Zhihao Li (359073)