Raffaele Mattera

Orcid: 0000-0001-8770-7049

According to our database1, Raffaele Mattera authored at least 17 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Time series clustering for high-dimensional portfolio selection: a comparative study.
Soft Comput., April, 2025

Kendall correlations and radar charts to include goals for and goals against in soccer rankings.
Comput. Stat., April, 2025

Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning.
Comput. Ind. Eng., 2025

2024
Fuzzy clustering with entropy regularization for interval-valued data with an application to scientific journal citations.
Ann. Oper. Res., November, 2024

Clustering networked funded European research activities through rank-size laws.
Ann. Oper. Res., November, 2024

Fuzzy clustering of time series based on weighted conditional higher moments.
Comput. Stat., September, 2024

Multiway clustering with time-varying parameters.
Comput. Stat., February, 2024

2023
Forecasting binary outcomes in soccer.
Ann. Oper. Res., June, 2023

Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection.
Intell. Syst. Appl., 2023

Fuzzy clustering of time series with time-varying memory.
Int. J. Approx. Reason., 2023

2022
Weighted score-driven fuzzy clustering of time series with a financial application.
Expert Syst. Appl., 2022

A Bibliometric Analysis on Agent-Based Models in Finance: Identification of Community Clusters and Future Research Trends.
Complex., 2022

A Composite Index for Measuring Stock Market Inefficiency.
Complex., 2022

2021
Distribution-Based Entropy Weighting Clustering of Skewed and Heavy Tailed Time Series.
Symmetry, 2021

Model-based fuzzy time series clustering of conditional higher moments.
Int. J. Approx. Reason., 2021

Frequency Domain Clustering: An Application to Time Series with Time-Varying Parameters.
Proceedings of the Studies in Theoretical and Applied Statistics, 2021

2020
Skewed non-Gaussian GARCH models for cryptocurrencies volatility modelling.
Inf. Sci., 2020


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