Vera L. Miguéis

Orcid: 0000-0001-7831-9140

According to our database1, Vera L. Miguéis authored at least 25 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Predicting demand for new products in fashion retailing using censored data.
Expert Syst. Appl., 2025

2024
Factors influencing the use of information and communication technologies by students for educational purposes.
Educ. Inf. Technol., June, 2024

Machine learning and cointegration for structural health monitoring of a model under environmental effects.
Expert Syst. Appl., March, 2024

A Systematic Review on Responsible Multimodal Sentiment Analysis in Marketing Applications.
IEEE Access, 2024

2023
Automatic root cause analysis in manufacturing: an overview & conceptualization.
J. Intell. Manuf., June, 2023

2022
On the influence of overlap in automatic root cause analysis in manufacturing.
Int. J. Prod. Res., 2022

Leveraging email marketing: Using the subject line to anticipate the open rate.
Expert Syst. Appl., 2022

Understanding Overlap in Automatic Root Cause Analysis in Manufacturing Using Causal Inference.
IEEE Access, 2022

Empirical Evaluation of the Performance of Electric Vehicles for Taxi Operation.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2020
Ten Years Exploring Service Science: Looking Back to Move Forward.
Proceedings of the Exploring Service Science - 10th International Conference, 2020

Predicting Market Basket Additions as a Way to Enhance Customer Service Levels.
Proceedings of the Exploring Service Science - 10th International Conference, 2020

2019
Evaluating the short-term effect of cross-market discounts in purchases using neural networks: A case in retail sector.
Expert Syst. J. Knowl. Eng., 2019

A Data Mining Approach for Predicting Academic Success - A Case Study.
Proceedings of the Information Technology and Systems, 2019

2018
Early segmentation of students according to their academic performance: A predictive modelling approach.
Decis. Support Syst., 2018

Exploring the use of deep neural networks for sales forecasting in fashion retail.
Decis. Support Syst., 2018

2017
Combining Data Analytics with Layout Improvement Heuristics to Improve Libraries' Service Quality.
Proceedings of the Exploring Services Science - 8th International Conference, 2017

Exploring the Relationship Between Corruption and Health Care Services, Education Services and Standard of Living.
Proceedings of the Exploring Services Science - 8th International Conference, 2017

2016
Using User-Generated Content to Explore Hotel Service Quality Dimensions.
Proceedings of the Exploring Services Science - 7th International Conference, 2016

2013
Enhanced decision support in credit scoring using Bayesian binary quantile regression.
J. Oper. Res. Soc., 2013

Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines.
Expert Syst. Appl., 2013

2012
Productivity change and innovation in Norwegian electricity distribution companies.
J. Oper. Res. Soc., 2012

Modeling partial customer churn: On the value of first product-category purchase sequences.
Expert Syst. Appl., 2012

Customer data mining for lifestyle segmentation.
Expert Syst. Appl., 2012

Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences.
Adv. Data Anal. Classif., 2012

2011
Mining Customer Loyalty Card Programs: The Improvement of Service Levels Enabled by Innovative Segmentation and Promotions Design.
Proceedings of the Exploring Services Science - Second International Conference, 2011


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