Caterina Liberati

Orcid: 0000-0001-9910-4018

According to our database1, Caterina Liberati authored at least 13 papers between 2011 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Unconventional data for policy: Using Big Data for detecting Italian innovative SMEs.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

2021
Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default.
CoRR, 2021

Social Media Data and Users' Preferences: A Statistical Analysis to Support Marketing Communication.
Big Data Res., 2021

2018
Personal values and credit scoring: new insights in the financial prediction.
J. Oper. Res. Soc., 2018

2017
Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis.
Adv. Data Anal. Classif., 2017

2015
Identifying Oncological Patient Information Needs to Improve e-Health Communication: a preliminary text-mining analysis.
Qual. Reliab. Eng. Int., 2015

Discovering Hidden Concepts in Predictive Models for Texts' Polarization.
Int. J. Data Warehous. Min., 2015

2013
Dynamic Principal Component Analysis: A Banking Customer Satisfaction Evaluation.
Proceedings of the Algorithms from and for Nature and Life, 2013

Evolutionary Customer Evaluation: A Dynamic Approach to a Banking Case.
Proceedings of the Statistical Models for Data Analysis, 2013

Misspecification Resistant Model Selection Using Information Complexity with Applications.
Proceedings of the Classification and Data Mining, 2013

Subjective Business Polarization: Sentiment Analysis Meets Predictive Modeling.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Banking customer satisfaction evaluation: a three-way factor perspective.
Adv. Data Anal. Classif., 2012

2011
An optimal cluster-based approach for Subgroup Analysis using Information Complexity Criterion.
Int. J. Bus. Intell. Data Min., 2011


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