Automated prediction of employee attrition using ensemble model based on machine learning algorithms

FK Alsheref, IE Fattoh, W M. Ead - Computational Intelligence …, 2022 - Wiley Online Library
Competent employees are a rare commodity for great companies. The problem of
maintaining good employees with experience threatens the owners of companies. The issue …

[PDF][PDF] Deep Learning Based Face Detection and Identification of Criminal Suspects.

S Sandhya, A Balasundaram… - Computers, Materials & …, 2023 - cdn.techscience.cn
Occurrence of crimes has been on the constant rise despite the emerging discoveries and
advancements in the technological field in the past decade. One of the most tedious tasks is …

An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy

H Chen, Y Zhou, K Mei, N Wang, M Tang, G Cai - Applied Sciences, 2023 - mdpi.com
Featured Application Privacy protection and data mining. Abstract This study aims to
improve the quality of the clustering results of the density peak clustering (DPC) algorithm …

Classifying transactional addresses using supervised learning approaches over Ethereum blockchain

R Saxena, D Arora, V Nagar - Procedia Computer Science, 2023 - Elsevier
Ethereum is a digital asset whose transactions are kept on a decentralized, globally
accessible ledger. An Ethereum Blockchain owner's real identity is concealed behind a …

Learning assurance analysis for further certification process of machine learning techniques: case-study air traffic conflict detection predictor

JA Pérez-Castán, L Pérez Sanz… - Sensors, 2022 - mdpi.com
Designing and developing artificial intelligence (AI)-based systems that can be trusted
justifiably is one of the main issues aviation must face in the coming years. European Union …

A catalogue of machine learning algorithms for healthcare risk predictions

A Mavrogiorgou, A Kiourtis, S Kleftakis, K Mavrogiorgos… - Sensors, 2022 - mdpi.com
Extracting useful knowledge from proper data analysis is a very challenging task for efficient
and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) …

Accuracy prediction on detection of breast cancer using machine learning classifiers

AP Singh, S Agrawal - 2022 14th International Conference on …, 2022 - ieeexplore.ieee.org
Breast Cancer becomes a curse to women, and it increases day by day. So, there is a need
for a more reliable and precise method for its detection. In this technical era, the medical …

Distributed Fuzzy Cognitive Maps for Feature Selection in Big Data Classification

K Haritha, MV Judy, K Papageorgiou, VC Georgiannis… - Algorithms, 2022 - mdpi.com
The features of a dataset play an important role in the construction of a machine learning
model. Because big datasets often have a large number of features, they may contain …

[PDF][PDF] Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map.

K Priyadarsini, AK Sivaraman, AQ Md… - Computers, Materials & …, 2023 - researchgate.net
With the rapid evolution of Internet technology, fog computing has taken a major role in
managing large amounts of data. The major concerns in this domain are security and …

Shapley Values as a Strategy for Ensemble Weights Estimation

V Drungilas, E Vaičiukynas, L Ablonskis… - Applied Sciences, 2023 - mdpi.com
This study introduces a novel performance-based weighting scheme for ensemble learning
using the Shapley value. The weighting uses the reciprocal of binary cross-entropy as a …