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

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات:

RFEcv algorithm flowchart. حسب Xinrui Wang (488330)

The accuracy score change matrix following model development. حسب Uğur Ejder (22683228)

الموضوعات:

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …"

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

"…Shapley values for local interpretability were more informative than LIME ones, which is in line with our exploratory analysis and global interpretation of the final model. Machine learning algorithms with good generalization and accompanied by interpretability analyses are recommended for assessments of individual risks of cardiovascular diseases and development of personalized preventive actions.…"

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

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. حسب Daniel Walke (21680915)

bppMigration-algorithms-data.tgz حسب Ziheng Yang (22169779)

"…<p dir="ltr">Population phylogenomics uses sampled genomes to jointly infer population genetic processes (ancestral and contemporary population sizes, historical gene flow) and a phylogenetic tree relating species or populations including species divergence times. …"

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …"

Comparison of Proposed Model using Unseen Data. حسب Saim Chishti (22272188)

الموضوعات:

Comparison of proposed model using unseen data. حسب Saim Chishti (22272188)

الموضوعات:

Comparison of Proposed Model. حسب Saim Chishti (22272188)

الموضوعات:

Comparison of proposed model. حسب Saim Chishti (22272188)

الموضوعات:

DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx حسب Qiyuan Cui (19729288)

"…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…"

Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf حسب Mikhail Ya Yadgarov (18543769)

Flowchart of the artificial bee colony algorithm. حسب Wei Su (89824)

"…This study proposes a hybrid model (MABC-LSSVM) that combines a modified artificial bee colony (MABC) optimization algorithm with a least squares support vector machine (LSSVM) model. …"

T-test comparison of proposed model with DNN. حسب Saim Chishti (22272188)

الموضوعات:

Receiver operator characteristic (ROC) curves of the machine learning algorithms. حسب Yue Lv (549862)