Artificial Intelligence models and employee lifecycle management: A systematic literature review
S Nosratabadi, RK Zahed, VV Ponkratov, EV Kostyrin - Organizacija, 2022 - sciendo.com
Background and purpose: The use of artificial intelligence (AI) models for data-driven
decision-making in different stages of employee lifecycle (EL) management is increasing …
decision-making in different stages of employee lifecycle (EL) management is increasing …
A smart process controller framework for Industry 4.0 settings
This paper presents a smart supervisory framework for a single process controller, designed
for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process …
for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process …
A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms
Asthma is a complex respiratory disorder in which structural changes in the conducting
airway cause variable airflow limitation. The excessive narrowing of the airway lumen …
airway cause variable airflow limitation. The excessive narrowing of the airway lumen …
Resource allocation in ordinal classification problems: a prescriptive framework utilizing machine learning and mathematical programming
Ordinal classification tasks that require the allocation of limited resources are prevalent in
various real-world scenarios. Examples include assessing disease severity in the context of …
various real-world scenarios. Examples include assessing disease severity in the context of …
A decision tree-based method for ordinal classification problems
In ordinal classification problems, the class value exhibits a natural order. Usually, these
problems are solved as multiclass classification problems while discarding the ordering form …
problems are solved as multiclass classification problems while discarding the ordering form …
A flexible employee recruitment and compensation model: A bi-level optimization approach
The growing practice of flexible work following the COVID-19 pandemic is likely to have a
significant impact on management and human resource (HR) practices. In this paper, we …
significant impact on management and human resource (HR) practices. In this paper, we …
Ordinal decision-tree-based ensemble approaches: The case of controlling the daily local growth rate of the COVID-19 epidemic
G Singer, M Marudi - Entropy, 2020 - mdpi.com
In this research, we develop ordinal decision-tree-based ensemble approaches in which an
objective-based information gain measure is used to select the classifying attributes. We …
objective-based information gain measure is used to select the classifying attributes. We …
Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms
Abstract Machine learning is integrated nowadays in many data-driven applications that
attempt to model the behavior of a system. Thus, the implementation of machine-learning …
attempt to model the behavior of a system. Thus, the implementation of machine-learning …
Influence of data mining technology in information analysis of human resource management on macroscopic economic management
A Zhang - Plos one, 2021 - journals.plos.org
The purposes are to manage human resource data better and explore the association
between Human Resource Management (HRM), data mining, and economic management …
between Human Resource Management (HRM), data mining, and economic management …
[Retracted] Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration
L Hao - Security and Communication Networks, 2022 - Wiley Online Library
In order to improve the economic benefits of enterprises and provide a scientific human
resource management method for enterprises, an optimal allocation method of human …
resource management method for enterprises, an optimal allocation method of human …