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ORCIDAntonio Calcagnì
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2020 – today
- 2022
[j7]Antonio Calcagnì
, Niccolò Cao, Enrico Rubaltelli, Luigi Lombardi:
A psychometric modeling approach to fuzzy rating data. Fuzzy Sets Syst. 447: 76-99 (2022)- [c1]Antonio Calcagnì, Luigi Lombardi:
A Probabilistic Tree Model to Analyze Fuzzy Rating Data. IPMU (2) 2022: 457-468
2010 – 2019
- 2019
- [j6]Antonio Calcagnì, Livio Finos, Gianmarco Altoé, Massimiliano Pastore:
A Maximum Entropy Procedure to Solve Likelihood Equations. Entropy 21(6): 596 (2019) - [p1]Sara Invitto, Antonio Calcagnì, Marina de Tommaso, Anna Esposito:
Olfactory and Haptic Crossmodal Perception in a Visual Recognition Task. Quantifying and Processing Biomedical and Behavioral Signals 2019: 57-71 - 2017
- [j5]Lisa L. Doove, Tom F. Wilderjans, Antonio Calcagnì, Iven Van Mechelen:
Deriving optimal data-analytic regimes from benchmarking studies. Comput. Stat. Data Anal. 107: 81-91 (2017) - 2016
- [j4]Enrico Ciavolino, Antonio Calcagnì:
A Generalized Maximum Entropy (GME) estimation approach to fuzzy regression model. Appl. Soft Comput. 38: 51-63 (2016) - [j3]Antonio Calcagnì, Luigi Lombardi, Eduardo Pascali:
A dimension reduction technique for two-mode non-convex fuzzy data. Soft Comput. 20(2): 749-762 (2016) - 2014
- [j2]Antonio Calcagnì, Luigi Lombardi:
Dynamic Fuzzy Rating Tracker (DYFRAT): a novel methodology for modeling real-time dynamic cognitive processes in rating scales. Appl. Soft Comput. 24: 948-961 (2014) - [j1]Antonio Calcagnì, Luigi Lombardi, Eduardo Pascali:
Non-convex fuzzy data and fuzzy statistics: a first descriptive approach to data analysis. Soft Comput. 18(8): 1575-1588 (2014)
Coauthor Index
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