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

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

“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”

The genome coding scheme. by Wenbing Shi (5806160)

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

code_4 by Olga Ovtsarenko (20432033)

DCA curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>DCA curves on testing data of eight machine learning algorithm models.…”

ROC curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>ROC curves on testing data of eight machine learning algorithm models.…”

Calibration curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>Calibration curves on testing data of eight machine learning algorithm models.…”

Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

Performance of different algorithms on the test set. by Renjie Li (1863280)

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…Validation used a hold-out test set (80/20) and repeated stratified k-fold cross-validation; bootstrap confidence intervals were estimated for the selected model. …”

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…Validation used a hold-out test set (80/20) and repeated stratified k-fold cross-validation; bootstrap confidence intervals were estimated for the selected model. …”

Algorithm comparison test results. by Hang Ren (1312905)

Optimal parameters of the machine learning algorithm. by Novel Chandra Das (19742953)

Comparison of test time for spectrum analysis with different algorithms. by Yucai Wang (513301)

Roc curves for the ML algorithms applied to the test sample. by Gilson Yuuji Shimizu (19837946)

Machine learning algorithm validation performance comparison plot. by Hilman Nordin (20615178)

The studies using plain radiographs and deep-learning algorithm for screening. by Jung-Wee Park (10689240)

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The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

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