Adaptive search query generation and refinement in systematic literature review
Systematic literature reviews (SLRs) are a central part of evidence-based research, which
involves collecting and integrating empirical evidence on specific research questions. A key …
involves collecting and integrating empirical evidence on specific research questions. A key …
[图书][B] Social data analytics
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
Towards artificial intelligence enabled financial crime detection
Z Rouhollahi - arXiv preprint arXiv:2105.10866, 2021 - arxiv.org
Recently, financial institutes have been dealing with an increase in financial crimes. In this
context, financial services firms started to improve their vigilance and use new technologies …
context, financial services firms started to improve their vigilance and use new technologies …
Towards explainable artificial intelligence in banking and financial services
A Hanif - arXiv preprint arXiv:2112.08441, 2021 - arxiv.org
Artificial intelligence (AI) enables machines to learn from human experience, adjust to new
inputs, and perform human-like tasks. AI is progressing rapidly and is transforming the way …
inputs, and perform human-like tasks. AI is progressing rapidly and is transforming the way …
Learning Complex Users' Preferences for Recommender Systems
S Yakhchi - arXiv preprint arXiv:2107.01529, 2021 - arxiv.org
Recommender systems (RSs) have emerged as very useful tools to help customers with
their decision-making process, find items of their interest, and alleviate the information …
their decision-making process, find items of their interest, and alleviate the information …
Systematic literature review search query refinement pipeline: Incremental enrichment and adaptation
Systematic literature reviews (SLRs) are at the heart of evidence-based research, collecting
and integrating empirical evidence regarding specific research questions. A leading step in …
and integrating empirical evidence regarding specific research questions. A leading step in …
Intent recognition in conversational recommender systems
S Moradizeyveh - arXiv preprint arXiv:2212.03721, 2022 - arxiv.org
Any organization needs to improve their products, services, and processes. In this context,
engaging with customers and understanding their journey is essential. Organizations have …
engaging with customers and understanding their journey is essential. Organizations have …
[HTML][HTML] Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?
Background and objective Patient-ventilator asynchrony (PVA) is associated with poor
clinical outcomes and remains under-monitored. Automated PVA detection would enable …
clinical outcomes and remains under-monitored. Automated PVA detection would enable …
Intelligent vector-based customer segmentation in the banking industry
S Mousaeirad - arXiv preprint arXiv:2012.11876, 2020 - arxiv.org
Customer Segmentation is the process of dividing customers into groups based on common
characteristics. An intelligent Customer Segmentation will not only enable an organization to …
characteristics. An intelligent Customer Segmentation will not only enable an organization to …
A query language for summarizing and analyzing business process data
In modern enterprises, Business Processes (BPs) are realized over a mix of workflows, IT
systems, Web services and direct collaborations of people. Accordingly, process data (ie, BP …
systems, Web services and direct collaborations of people. Accordingly, process data (ie, BP …