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Explanatory Interactive Machine Learning
The most promising standard machine learning methods can deliver highly accurate classification results, often outperforming standard white-box...
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Machine learning for product choice prediction
The goal of this paper is to provide a point of empirical evidence as to how machine-learning techniques stack-up in their ability to predict...
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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...
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Machine learning vs deep learning in stock market investment: an international evidence
Machine learning and deep learning are powerful tools for quantitative investment. To examine the effectiveness of the models in different markets,...
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Machine Learning and Deep Learning-Based Students’ Grade Prediction
Predicting student performance in a curriculum or program offers the prospect of improving academic outcomes. By using effective performance...
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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...
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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...
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Predicting European stock returns using machine learning
This paper examines the predictability of equity returns in the European stock market through the use of several machine learning techniques....
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Toward interpretable machine learning: evaluating models of heterogeneous predictions
AI and machine learning have made significant progress in the past decade, powering many applications in FinTech and beyond. But few machine learning...
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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...
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Consumers’ Financial Distress: Prediction and Prescription Using Interpretable Machine Learning
This paper shows how transactional bank account data can be used to predict and to prevent financial distress in consumers. Machine learning methods...
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Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
Data sensitivity and domain specificity challenges arise in reuse of machine learning applications. We identify four types of machine learning...
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Understanding CSR champions: a machine learning approach
In this paper, we study champions of corporate social responsibility (CSR) performance among the U.S. publicly traded firms and their common...
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Machine learning-based methods for MCS prediction in 5G networks
In the ever-evolving landscape of wireless communication systems, including fifth-generation (5G) networks and beyond (B5G), accurate Modulation and...
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Uncertainty and fluctuation in crude oil price: evidence from machine learning models
This study comprehensively investigates the predictability of uncertainty indices for oil market volatility, employing multiple machine learning...
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Environmental, social and governance (ESG) rating prediction using machine learning approaches
The study’s objective is to predict the environmental, social, and governance (ESG) ratings of firms. Applying six machine learning algorithms, we...
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Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning
The thermal behavior of the motorized spindle is a key issue that restricts the accuracy and efficiency of machining centers. Spindle thermal error...
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Artificial intelligence and machine learning
Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines,...
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Case study on delivery time determination using a machine learning approach in small batch production companies
Delivery times represent a key factor influencing the competitive advantage, as manufacturing companies strive for timely and reliable deliveries. As...
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Machine learning in international business
In the real world of international business, machine learning (ML) is well established as an essential element in many operations, from finance and...
