AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

Financial time series forecasting is undoubtedly the top choice of computational intelligence
for finance researchers in both academia and the finance industry due to its broad …

Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …

Financial technology (FinTech) has been playing an increasingly critical role in driving
modern economies, society, technology, and many other areas. Smart FinTech is the new …

Automatic recovery of 3D human pose from monocular image sequences is a challenging
and important research topic with numerous applications. Although current methods are …

Often considered more as an art than a science, the field of clustering has been dominated
by learning through examples and by techniques chosen almost through trial-and-error …

The recent booming of AI in FinTech evidences the significant developments and potential of
AI for making smart FinTech, economy, finance and society. AI-empowered smart FinTech …

The Internet and the World Wide Web in particular provide a unique platform to connect
learners with educational resources. Educational material in hypermedia form in a Web …

Purpose–Drawing on mainstream arguments in the literature, the paper presents a coherent
and holistic view on the causes of cost overruns, and the dynamics between cognitive …

This chapter surveys and analyses visual methods of explainability of Machine Learning
(ML) approaches with focus on moving from quasi-explanations that dominate in ML to …