Data generation algorithm. by Aluwani Ramalata (21262977)

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

Relevant computed image data. by Zhaoyu Ku (20660546)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

Subjects:

Improve algorithm settings. by Hui Zhao (7395)

Subjects:

DMTD algorithm. by Yunhu Huang (21402795)

“…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”

Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. by Rui-Si Hu (5337227)

The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

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

Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx by Rohit Pardasani (22253656)

“…</p>Methods<p>Fetal tracings sourced from 19 birthing centers through a US-based healthcare delivery organization were clinically interpreted, labeled, quality checked, and ratified by clinicians to be included in the study. The algorithm using deep learning and rule-based techniques was developed to identify segments of interest (accelerations, decelerations, and contractions). …”

Summary of relevant works. by Bashir Olaniyi Sadiq (22478011)

“…This paper presents a UAV-BPL synchronization algorithm that uses the farm’s existing electrical grid via Broadband over Power Line (BPL) communication to enable cost-effective, scalable data collection. …”

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

Comparison of imbalanced data handling techniques using accuracy and AUC values. by Alemu Birara Zemariam (17540938)

Performance evaluation measure of the machine learning algorithm after data balancing with SMOTE and grid search tuning. by Alemu Birara Zemariam (17540938)

Sensitivity Analysis of the “Swift Effect” Across Matching Algorithms. by James M. Smoliga (9074225)

Subjects:

Clinically relevant subgroups of T2DM patients using unsupervised clustering analysis by Evans A. Adu (7524140)

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV by Jie Shen (31533)

“…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…”

Data_Sheet_2_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.docx by Jie Shen (31533)

“…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…”

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)