The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

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

“…This behavior was consistent with a computational process based on the successor representation known as successor features and generalized policy improvement (SF&GPI). Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”

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

Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

<b>Long-term evaluation of pollution</b><b>dynamics</b><b>in West Lake Taihu, China: Enhanced WQI and TLI models for improved accuracy and management relevance</b> by Bo Chao (1916083)

The genome coding scheme. by Wenbing Shi (5806160)

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

Metrics of performance evaluation parameters. by Sunil Kumar (102321)

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The relevant data file for this article. by Linsha Liu (20378293)

Evaluating motif projections. by Bettina Soós (10860933)

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

The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

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The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

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The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

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The speciation of NANEAT model evolution. by Wenbing Shi (5806160)

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Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

“…<p>Evaluation metrics of the models constructed by each algorithm.…”

Average target value and evaluation metrics of the optimized explanations with different optimization strategies and machine learning models. by Bettina Soós (10860933)

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

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Evaluation of classification models using ROC curves. by Isabela Bittencourt Basso (14178739)

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