p-values of comparison of algorithms with WOA. by Fizza Shafique (19996292)

“…The Integral Square Error (ISE) criteria is used to determine the efficiency of the algorithms-based controller. In the latter part of this article after implementing these mentioned techniques a comparative analysis of their results is presented through statistical tests using SPSS (Statistical Package for Social Sciences) software. …”

Experiment results of solar power generation forecasting using LSTM based on PSO. by Rizk M. Rizk-Allah (18625751)

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Code by Baoqiang Chen (21099509)

“…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf by Sven Schneider (1366548)

“…<p>This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific computational building blocks that prevent code duplication and enable robots to adapt their software themselves. …”

Decision-making algorithm for implementing a clinical pharmacy service in oncology. Algoritmo de tomada de decisão para implantação de um serviço de farmácia clínica em oncologia.... by Giuliano Cesar Silveira (21078053)

“…<b>Objective: </b>To describe the architecture of a decision-making algorithm for implementing a clinical pharmacy service in oncology. …”

Whole slide images classification code. by Yaëlle Bellahsen-Harrar (22139194)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

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Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

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Decoding results. by Sam Hall-McMaster (10343795)

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Experimental design. by Sam Hall-McMaster (10343795)

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Decoding evidence for feature triplets on test tasks. by Sam Hall-McMaster (10343795)

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Comparison of cue-locked and feedback-locked decoding. by Sam Hall-McMaster (10343795)

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Associative memory paradigm used to train the feature decoders. by Sam Hall-McMaster (10343795)

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Choices on individual test tasks were not explained by model-free perseveration. by Sam Hall-McMaster (10343795)

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Subgroup analysis. by Sam Hall-McMaster (10343795)

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Learning dynamics on training tasks. by Sam Hall-McMaster (10343795)

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Choice behavior on individual test tasks. by Sam Hall-McMaster (10343795)

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Behavioral results. by Sam Hall-McMaster (10343795)

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

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