3.8 Article

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier

Hao Fei et al.

Summary: This study proposes a county-scale cotton mapping method based on multiple features and random forest. By selecting spectral features, vegetation indices, and texture features, and exploring the contribution of texture features to cotton classification accuracy, the study improves the accuracy and efficiency of cotton classification.

REMOTE SENSING (2022)

Article Mathematical & Computational Biology

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images

Hamid Nasiri et al.

Summary: This study proposes a deep learning-based method for accurately diagnosing COVID-19 cases from chest X-ray images. The experimental results demonstrate that the proposed method outperforms other methods and achieves high accuracy and performance in both two-class and multiclass classification tasks.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2022)

Article Engineering, Multidisciplinary

Research on the Construction and Realization of Data Pipeline in Machine Learning Regression Prediction

Hua Zhang et al.

Summary: The data set used in machine learning often requires cleaning and conversion to generate a model. This article examines the use of data pipelines and suggests using them for processing all data. Experiments demonstrate that using data pipelines can reduce model errors and improve prediction accuracy.

MATHEMATICAL PROBLEMS IN ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

Beyond AP: a new evaluation index for multiclass classification task accuracy

Kaifang Zhang et al.

Summary: The study introduces a new metric R' for multiclass classification tasks, providing both overall and individual evaluations to improve training processes and model selection.

APPLIED INTELLIGENCE (2021)

Article Multidisciplinary Sciences

Comparison of feature importance measures as explanations for classification models

Mirka Saarela et al.

Summary: Explainable artificial intelligence is an emerging research direction that helps users or developers understand the behavior of machine learning models. Different feature importance measurement methods can lead to varying results, and a combination of multiple explanation techniques is recommended for more reliable results, particularly in critical cases such as false negatives.

SN APPLIED SCIENCES (2021)

Article Computer Science, Interdisciplinary Applications

Predictive data analytics for contract renewals: a decision support tool for managerial decision-making

Serhat Simsek et al.

Summary: Predictive analytics and artificial intelligence are crucial for improving organizational performance and managerial decision-making. This study focused on identifying MLB free agents likely to receive a contract, using a design science research paradigm and CAM theory to develop a framework. The research found that a player's statistical performance and factors like age, Wins above Replacement, and last team played for are significant in predicting contract signings.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2021)

Article Mathematics, Interdisciplinary Applications

An Enhanced Deep Neural Network for Predicting Workplace Absenteeism

Syed Atif Ali Shah et al.

COMPLEXITY (2020)

Article Computer Science, Artificial Intelligence

A comprehensive survey on support vector machine classification: Applications, challenges and trends

Jair Cervantes et al.

NEUROCOMPUTING (2020)

Article Computer Science, Information Systems

Artificial neural network incorporated decision support tool for point velocity prediction

Serhat Simsek et al.

JOURNAL OF BUSINESS ANALYTICS (2020)

Article Computer Science, Artificial Intelligence

The impact of class imbalance in classification performance metrics based on the binary confusion matrix

Amalia Luque et al.

PATTERN RECOGNITION (2019)

Article Biotechnology & Applied Microbiology

Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder

Han-Jing Jiang et al.

BIOMED RESEARCH INTERNATIONAL (2019)

Proceedings Paper Automation & Control Systems

Deep Neural Network Approach for Predicting the Productivity of Garment Employees

Abdullah Al Imran et al.

2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019) (2019)

Article Computer Science, Theory & Methods

Survey on deep learning with class imbalance

Justin M. Johnson et al.

JOURNAL OF BIG DATA (2019)

Review Medicine, General & Internal

Prospects of deep learning for medical imaging

Jonghoon Kim et al.

PRECISION AND FUTURE MEDICINE (2018)

Review Multidisciplinary Sciences

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun et al.

HELIYON (2018)

Article Rheumatology

Factors leading to work absenteeism in Tunisian ankylosing spondylitis patients

Olfa Saidane et al.

EGYPTIAN RHEUMATOLOGIST (2018)

Review Geriatrics & Gerontology

Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

Alessia Sarica et al.

FRONTIERS IN AGING NEUROSCIENCE (2017)

Article Management

A dialectical theory of the decision to go to work: Bringing together absenteeism and presenteeism

Jonathon R. B. Halbesleben et al.

HUMAN RESOURCE MANAGEMENT REVIEW (2014)

Article Computer Science, Artificial Intelligence

Data splitting for artificial neural networks using SOM-based stratified sampling

R. J. May et al.

NEURAL NETWORKS (2010)

Article Geochemistry & Geophysics

Mine Classification With Imbalanced Data

David P. Williams et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2009)

Article Computer Science, Artificial Intelligence

Movie forecast guru: A Web-based DSS for Hollywood managers

Dursun Delen et al.

DECISION SUPPORT SYSTEMS (2007)

Article Economics

Relationship between Financial Stress and Workplace Absenteeism of Credit Counseling Clients

Jinhee Kim et al.

JOURNAL OF FAMILY AND ECONOMIC ISSUES (2006)

Article Computer Science, Artificial Intelligence

An introduction to ROC analysis

Tom Fawcett

PATTERN RECOGNITION LETTERS (2006)

Article Endocrinology & Metabolism

The impact of diabetes on employment and work productivity

K Tunceli et al.

DIABETES CARE (2005)

Article Automation & Control Systems

Pattern recognition of jet fuels: comprehensive GC x GC with ANOVA-based feature selection and principal component analysis

KJ Johnson et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2002)

Article Substance Abuse

Impact of smoking status on workplace absenteeism and productivity

MT Halpern et al.

TOBACCO CONTROL (2001)

Article Statistics & Probability

A note on linear combination of predictors

E Ruiz et al.

STATISTICS & PROBABILITY LETTERS (2000)