The results of bug reports classification by the SVM algorithm. by Mohammadreza Namdar (22439057)

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)

The goodness of fit criteria results in all algorithms for optimal hyperparameter values. by Sevtap Tırınk (22394716)

SVM model details. by Giuliano Lorenzoni (21440268)

“…Besides the assessment of alternative techniques, we were able to build models with accuracy levels around 84% with Random Forest and XGBoost models, which is significantly higher than the results from the comparable literature which presented the level of accuracy of 72% from the SVM model. …”

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

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The genome coding scheme. by Wenbing Shi (5806160)

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The classification report of the generated LASSO, RF, and SVM models. by Devi Soorya Narayana Sasikumar (22331743)

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

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

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

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Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”

code_4 by Olga Ovtsarenko (20432033)

The genetic algorithm. by Viktoria Zemliak (19500335)

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

Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" by Yufeng Ke (16539882)

The folder containing the code is provided as supportive documentation associated with this paper. by Quxi Kuang (22493270)

Confusion matrix for the best-performing model on the SMIDS dataset (GAP + PCA + SVM_RBF). by Şafak Kılıç (22227019)

Flowchart of the presented approach. by Hamed Khodadadi (21446172)

Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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