Betania S. C. Campello

Orcid: 0000-0001-9609-8724

Affiliations:
  • University of Campinas (UNICAMP), School of Electrical and Computer Engineering (FEEC), Campinas, SP, Brazil


According to our database1, Betania S. C. Campello authored at least 11 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Improving preference disaggregation in multicriteria decision making: Incorporating time series analysis and a multi-objective approach.
Inf. Sci., 2025

2024
Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings.
Expert Syst. Appl., 2024

Integrating Tensor-Based Data Analytics and Adaptive Prediction for Informed Decision-Making Support.
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2023
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation.
Pattern Recognit. Lett., October, 2023

Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method.
Comput. Ind. Eng., 2023

Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method.
Eng. Appl. Artif. Intell., 2022

2021
A Bi-Integrated Model for coupling lot-sizing and cutting-stock problems.
OR Spectr., 2021

2020
A multiobjective integrated model for lot sizing and cutting stock problems.
J. Oper. Res. Soc., 2020

A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach.
CoRR, 2020

Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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