ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf by Thiago Fellipe Ortiz de Camargo (19460818)

“…This study evaluates a deep learning algorithm designed for CXR interpretation, focusing on its utility for non-specialists in thoracic radiology physicians.…”

Framework of the proposed algorithm. by Jia Li (160557)

Subjects:

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

The loss of Deep Learning with GATs. by Pei Zhao (487688)

Subjects:

Summary of the feature selection algorithms. by Martin Kostadinov (20410120)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

AUC-ROC curves of LNG trade network link prediction via Six Machine Learning Algorithms. by Pei Zhao (487688)

Subjects:

Parameter configuration for deep reinforcement learning algorithm. by Sen Cao (6017846)

“…<p>Parameter configuration for deep reinforcement learning algorithm.</p>…”

Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning by IKENNA EKEKE (20996041)

Subjects:

Classification results of deep learning algorithms with image features. by Daowei Chen (9077770)

“…<p>Classification results of deep learning algorithms with image features.</p>…”

Comprehensive performance comparison of deep learning algorithms for classification. by Daowei Chen (9077770)

“…<p>Comprehensive performance comparison of deep learning algorithms for classification.</p>…”

Classification results of deep learning algorithms on N-gram features. by Daowei Chen (9077770)

“…<p>Classification results of deep learning algorithms on N-gram features.</p>…”

AUC score comparison table for all the deep learning algorithms. by Khandaker Mohammad Mohi Uddin (13124356)

“…<p>AUC score comparison table for all the deep learning algorithms.</p>…”

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

Subjects:

Comparison with deep learning algorithms at GM12878BATF dataset. by Guodong He (3770947)

“…<p>Comparison with deep learning algorithms at GM12878BATF dataset.</p>…”

Comparison of ROC AUC and PR AUC with deep learning algorithms. by Guodong He (3770947)

“…<p>Comparison of ROC AUC and PR AUC with deep learning algorithms.</p>…”

Image 2_Characterizing clinical risk profiles of major complications in type 2 diabetes mellitus using deep learning algorithms.jpeg by Haochen Liu (487914)

“…</p>Conclusion<p>This study employed interpretable machine learning to characterize risk factor profiles for multiple T2DM complications, identifying both common and distinct factors associated with major complications. The findings provide a foundation for exploring personalized risk management strategies and highlight the potential of data-driven approaches to inform early intervention research in T2DM complications.…”

Table 2_Characterizing clinical risk profiles of major complications in type 2 diabetes mellitus using deep learning algorithms.xlsx by Haochen Liu (487914)

“…</p>Conclusion<p>This study employed interpretable machine learning to characterize risk factor profiles for multiple T2DM complications, identifying both common and distinct factors associated with major complications. The findings provide a foundation for exploring personalized risk management strategies and highlight the potential of data-driven approaches to inform early intervention research in T2DM complications.…”