Search
Search Results
-
A semi-supervised learning approach for variance reduction in life insurance
Monte-Carlo based valuation in life insurance involves the simulation of various components of the balance sheet: portfolios, guarantees, assets mix,...
-
Insider threat detection using supervised machine learning algorithms
Insider threats refer to abnormal actions taken by individuals with privileged access, compromising system data’s confidentiality, integrity, and...
-
Unsupervised Attack Isolation in Cyber-physical Systems: A Competitive Test of Clustering Algorithms
When a complex cyber-physical infrastructure is attacked, operators need to isolate the attack location. Since sensors and actuators are physically...
-
Passenger intelligence as a competitive opportunity: unsupervised text analytics for discovering airline-specific insights from online reviews
Driven by the fierce competition in the airline industry, carriers strive to increase their customer satisfaction by understanding their expectations...
-
Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online
Social media platforms have become an increasingly popular tool for individuals to share their thoughts and opinions with other people. However, very...
-
Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach
The paper examines whether the structure of the risk factor disclosure in an IPO prospectus helps explain the cross-section of first-day returns in a...
-
Forecasting oil price in times of crisis: a new evidence from machine learning versus deep learning models
This study investigates oil price forecasting during a time of crisis, from December 2007 to December 2021. As the oil market has experienced various...
-
The Viability of Supply Chains with Interpretable Learning Systems: The Case of COVID-19 Vaccine Deliveries
The main objective of this research was to examine the instrumental role played by interpretable learning systems, specifically artificial...
-
Artificial intelligence and machine learning
Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines,...
-
Applied Machine Learning in Operations Management
The field of operations management has witnessed a fast-growing trend of data analytics in recent years. In particular, spurred by the increasing...
-
ML Pro: digital assistance system for interactive machine learning in production
The application of machine learning promises great growth potential for industrial production. The development process of a machine learning solution...
-
Unsupervised consumer intention and sentiment mining from microblogging data as a business intelligence tool
The present study aims to create a framework that analyses user posts related to a product of interest on social networking platforms. More...
-
Semi-supervised learning for steel surface inspection using magnetic flux leakage signal
This paper proposes a semi-supervised learning model for detecting multi-defect classification and localization on the steel surface for industries...
-
Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies—part II
This article elaborates on the connection between multiple criteria decision aiding (MCDA) and preference learning (PL), two research fields with...
-
Image deep learning in fault diagnosis of mechanical equipment
With the development of industry, more and more crucial mechanical machinery generate wildness demand of effective fault diagnosis to ensure the safe...
-
Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-based solutions and systems is on the ascent....
-
The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review
In a contemporary context characterised by shifts in macroeconomic conditions and global uncertainty, predicting the future behaviour of demanders is...
-
Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects
Due to the digitization and Internet of Things revolutions, the present electronic world has a wealth of cybersecurity data. Efficiently resolving...
-
A blending ensemble learning model for crude oil price forecasting
To efficiently capture diverse fluctuation profiles in forecasting crude oil prices, we here propose to combine heterogenous predictors for...
-
Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions
Agriculture has transitioned from traditional to contemporary practices because of technological transformation. Powered by digital technologies and...
