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Predicting the results of evaluation procedures of academics

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Predicting the Results of Evaluation Procedures of Academics https://t.co/WJkrKpBsD0
RT @essepuntato: Preprint of a new article I’ve coauthored with F Poggi @paolociancarini @aldogangemi @andriry @vpresutti on a study predic…
RT @essepuntato: Preprint of a new article I’ve coauthored with F Poggi @paolociancarini @aldogangemi @andriry @vpresutti on a study predic…
RT @essepuntato: Preprint of a new article I’ve coauthored with F Poggi @paolociancarini @aldogangemi @andriry @vpresutti on a study predic…
RT @essepuntato: Preprint of a new article I’ve coauthored with F Poggi @paolociancarini @aldogangemi @andriry @vpresutti on a study predic…
Preprint of a new article I’ve coauthored with F Poggi @paolociancarini @aldogangemi @andriry @vpresutti on a study predicting the outcomes of the Italian Scientific Habilitation with #ML techniques, now available on @PeerJPreprints at https://t.co/SVa0uTinXJ #ASN
NOT PEER-REVIEWED
"PeerJ Preprints" is a venue for early communication or feedback before peer review. Data may be preliminary.

Additional Information

Competing Interests

Silvio Peroni is an Academic Editor for PeerJ Computer Science.

Author Contributions

Francesco Poggi conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper, approved the final draft.

Paolo Ciancarini authored or reviewed drafts of the paper, approved the final draft.

Aldo Gangemi analyzed the data, authored or reviewed drafts of the paper.

Andrea Giovanni Nuzzolese authored or reviewed drafts of the paper.

Silvio Peroni authored or reviewed drafts of the paper, approved the final draft.

Valentina Presutti authored or reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

The following GitHub repository contains raw data and code:

https://github.com/sosgang/asn2012-analysis

- DATA: the data/input/ folder contains the input data, and the data/output/ folder contains the output data of the analyses and experiments presented in the paper.

- CODE: the src/ folder contains the Java source code used to perform the analyses and experiments discussed in the paper. The target folder contains a packaged runnable JAR to execute the analyses/experiments.

Funding

This research has been supported by the Italian National Agency for the Assessment of Universities and Research (ANVUR) within the Uniform Representation of Curricular Attributes (URCA) project (see articolo 4 of the 'Concorso Pubblico di Idee di Ricerca' - bando ANVUR, 12 February 2015). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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