The algorithm to define the study population. حسب Michael C. Reed (6622226)

Description of the dataset used for the machine learning algorithm. حسب Tri Ngo Quang (20390189)

Data generation algorithm. حسب Aluwani Ramalata (21262977)

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

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

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. حسب Yuanchen Zhao (12905580)

الموضوعات:

Relevant computed image data. حسب Zhaoyu Ku (20660546)

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

الموضوعات:

Improve algorithm settings. حسب Hui Zhao (7395)

الموضوعات:

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm حسب Pankaj Tyagi (20147683)

"…With the recent developments in machine learning (ML) technology, ML and data analytic techniques are significantly being used for quantitative structure-activity relationship (QSAR) in the chemistry domain toward knowledge discovery where the traditional Edisonian methods have not been useful. …"

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

Table 4_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx حسب Fan Bu (1563562)

Table 3_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx حسب Fan Bu (1563562)

Table 1_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.docx حسب Fan Bu (1563562)

Table 2_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx حسب Fan Bu (1563562)

Phases of proposed algorithm. حسب Muhammad Abdullah (3357692)

"…To address these limitations, this paper proposes a novel diagnostic framework based on Hypersoft Fuzzy Rough Set (HSFRS) theory.This hybrid approach integrates the flexibility of hypersoft sets for modeling multi-parameter relationships, the strength of fuzzy logic in handling vagueness, and the approximation capabilities of rough set theory to manage data uncertainty. Using a pseudo fuzzy binary relation, we define lower and upper approximation operators for fuzzy subsets within the parameter space. …"

Model comparison used. حسب Md. Fahim Ul Islam (22470251)

"…In this paper, we propose an Interpretable Network Bandwidth Slicing Identification (INBSI) system that leverages a modified Convolutional Neural Network (CNN) architecture with Nesterov-accelerated Adaptive Moment Estimation (NADAM) optimization. Additionally, we use a Variational Autoencoder (VAE) for preprocessing initial data, along with reconstructed data for data validity assessment. …"

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

Knowledge Graph validation using SHACL Shapes حسب Ángel Iglesias Préstamo (19745767)

Algorithm of model development and validation. حسب Bethan Cracknell Daniels (20469396)