Machine learning in marketing: A literature review, conceptual framework, and research agenda

EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

User response prediction in online advertising

Z Gharibshah, X Zhu - aCM Computing Surveys (CSUR), 2021 - dl.acm.org
Online advertising, as a vast market, has gained significant attention in various platforms
ranging from search engines, third-party websites, social media, and mobile apps. The …

A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification

A Onan, S Korukoğlu, H Bulut - Expert Systems with Applications, 2016 - Elsevier
Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …

[HTML][HTML] IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework

S Bashir, U Qamar, FH Khan - Journal of biomedical informatics, 2016 - Elsevier
Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …

Stacking ensemble method for personal credit risk assessment in Peer-to-Peer lending

W Yin, B Kirkulak-Uludag, D Zhu, Z Zhou - Applied Soft Computing, 2023 - Elsevier
Over the last decade, China's Peer-to-Peer (P2P) lending industry has been seen as an
important credit source but it has recently suffered from a wave of bankruptcies. Using …

Ensemble learning with label proportions for bankruptcy prediction

Z Chen, W Chen, Y Shi - Expert Systems with Applications, 2020 - Elsevier
Corporate bankruptcy prediction is an interesting and important research topic that can be
conceived in many practical applications. Recently, machine learning based methods have …

A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection

D Sisodia, DS Sisodia - Expert Systems with Applications, 2023 - Elsevier
The absence of a publicly available user-click dataset makes the task of fraudster
identification particularly challenging to detect click fraud in online advertising. However, the …

HMV: A medical decision support framework using multi-layer classifiers for disease prediction

S Bashir, U Qamar, FH Khan, L Naseem - Journal of Computational …, 2016 - Elsevier
Decision support is a crucial function for decision makers in many industries. Typically,
Decision Support Systems (DSS) help decision-makers to gather and interpret information …

Multi-objective grammatical evolution of decision trees for mobile marketing user conversion prediction

PJ Pereira, P Cortez, R Mendes - Expert Systems with Applications, 2021 - Elsevier
The worldwide adoption of mobile devices is raising the value of Mobile Performance
Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to …

Applying artificial intelligence to explore sexual cyberbullying behaviour

AJ Sánchez-Medina, I Galván-Sánchez… - Heliyon, 2020 - cell.com
Sexual cyberbullying is becoming a serious problem in today's society. In the workplace, this
issue is more complex because of the power imbalance between potential perpetrators and …