Causal Inference plays an significant role in explaining the decisions t...
Protecting data privacy is paramount in the fields such as finance, bank...
Gaining the trust and confidence of customers is the essence of the grow...
Machine Learning (ML) has become the new contrivance in almost every fie...
Of late, insurance fraud detection has assumed immense significance owin...
Gaining the trust of customers and providing them empathy are very criti...
Wavelet neural networks (WNN) have been applied in many fields to solve
...
Of late, in order to have better acceptability among various domain,
res...
Explainable Artificial Intelligence (XAI) research gained prominence in
...
The Machine Learning and Deep Learning Models require a lot of data for ...
The most difficult task in machine learning is to interpret trained shal...
The main aim of Privacy-Preserving Machine Learning (PPML) is to protect...
Feature subset selection (FSS) for classification is inherently a
bi-obj...
This paper proposes nowcasting of high-frequency financial datasets in
r...
Feature subset selection (FSS) using a wrapper approach is essentially a...
Churn prediction in credit cards, fraud detection in insurance, and loan...
This paper proposes non-dominated sorting genetic algorithm-II (NSGA-II ...
In this paper, we propose a wrapper for feature subset selection (FSS) b...
In a first-of-its-kind study, this paper proposes the formulation of
con...
Several text classification tasks such as sentiment analysis, news
categ...
Citation sentimet analysis is one of the little studied tasks for
scient...
Most optimization-based community detection approaches formulate the pro...
In this paper, two multi-objective optimization frameworks in two varian...
In management, business, economics, science, engineering, and research
d...
Deep learning (DL) has solved a problem that as little as five years ago...
With the widespread use of social media, companies now have access to a
...