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Assistant Professor with time contract

+39 0110907052 / 7052 (DAUIN)

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Last years publications

Mecati, Mariachiara; Vetro', Antonio; Torchiano, Marco (2022)
Detecting Risk of Biased Output with Balance Measures. In: ACM JOURNAL OF DATA AND INFORMATION QUALITY. ISSN 1936-1955
Simonetta, Alessandro; Vetro', Antonio; Cristina Paoletti, Maria; Torchiano, Marco (2021)
Integrating SQuARE data quality model with ISO 31000 risk management to measure and mitigate software bias. In: 3rd International Workshop on Experience with SQuaRE Series and Its Future Direction (IWESQ 2021), Taipei, Taiwan, Dec 8, 2021, pp. 17-22
Vetrò, Antonio (2021)
Imbalanced data as risk factor of discriminating automated decisions: a measurement-based approach. In: JOURNAL OF INTELLECTUAL PROPERTY, INFORMATION TECHNOLOGY AND ELECTRONIC COMMERCE LAW, vol. 12, pp. 272-288. ISSN 2190-3387
Beretta, Elena; Vetrò, Antonio; Lepri, Bruno; De Martin, Juan Carlos (2021)
Equality of Opportunity in Ranking: a Fair-Distributive Model. In: Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2021), Online, April 1, 2021, pp. 51-63. ISBN: 978-3-030-78818-6
Garifo, Giovanni; Futia, Giuseppe; Vetro', Antonio; DE MARTIN, JUAN CARLOS (2021)
The Geranium Platform: A KG-Based System for Academic Publications. In: INFORMATION, vol. 12. ISSN 2078-2489
Vetro', Antonio; Torchiano, Marco; Mecati, Mariachiara (2021)
A data quality approach to the identification of discrimination risk in automated decision making systems. In: GOVERNMENT INFORMATION QUARTERLY, vol. 38. ISSN 0740-624X
Mecati, Mariachiara; Vetro, Antonio; Torchiano, Marco (2021)
Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data. In: 2021 IEEE International Conference on Big Data (IEEE BigData 2021) - First International Workshop on Data Science for equality, inclusion and well-being challenges (DS4EIW 2021), Orlando, FL, USA, 15-18 Dec. 2021, pp. 4287-4296. ISBN: 978-1-6654-3902-2
Beretta, Elena; Vetro', Antonio; Lepri, Bruno; De Martin, Juan Carlos (2021)
Detecting discriminatory risk through data annotation based on Bayesian inferences. In: ACM Conference on Fairness, Accountability, and Transparency 2021 (ACM FAccT 2021), Online, March 3-10, 2021, pp. 794-804
Conoscenti, Marco; Vetrò, Antonio; De Martin, Juan Carlos (2021)
CLoTH: A Lightning Network Simulator. In: SOFTWAREX, vol. 15. ISSN 2352-7110
Simonetta, Alessandro; Trenta, Andrea; Paoletti, Maria Cristina; Vetrò, Antonio (2021)
Metrics for Identifying Bias in Datasets. In: ICYRIME 2021 International Conference of Yearly Reports on Informatics Mathematics, and Engineering 2021, online, July 9, 2021, pp. 10-17
Futia, Giuseppe; Garifo, Giovanni; Vetro', Antonio; DE MARTIN, JUAN CARLOS (2020)
Modeling the semantics of data sources with graph neural networks.
Futia, Giuseppe; Vetrò, Antonio; De Martin, Juan Carlos (2020)
SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks. In: SOFTWAREX, vol. 12. ISSN 2352-7110
Mecati, Mariachiara; Cannavò, Flavio Emanuele; Vetrò, Antonio; Torchiano, Marco (2020)
Identifying Risks in Datasets for Automated Decision–Making. In: EGOV2020 – IFIP EGOV-CeDEM-EPART 2020, Linköping University (Sweden), 31 August (Monday) – 2 September (Wednesday), 2020, pp. 332-344. ISSN 0302-9743. ISBN: 978-3-030-57598-4
Mecati, Mariachiara; Cannavò, Flavio Emanuele; Vetrò, Antonio; Torchiano, Marco (2020)
Reproducibility Package for 'Identifying risks in datasets for automated decision–making'.
Conoscenti, Marco; Vetro, Antonio; De Martin, Juan Carlos (2019)
Hubs, Rebalancing and Service Providers in the Lightning Network. In: IEEE ACCESS, vol. 7, pp. 132828-132840. ISSN 2169-3536
Vetrò, Antonio; Santangelo, Antonio; Beretta, Elena; De Martin, Juan Carlos (2019)
AI: from rational agents to socially responsible agents. In: DIGITAL POLICY, REGULATION AND GOVERNANCE, vol. 21, pp. 291-304. ISSN 2398-5038
Wagner, Stefan; Fernández, Daniel Méndez; Felderer, Michael; Vetrò, Antonio; Kalinowski, ... (2019)
Status quo in requirements engineering: A theory and a global family of surveys. In: ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, vol. 28, pp. 1-48. ISSN 1049-331X
Spínola, Rodrigo O.; Zazworka, Nico; Vetro, Antonio; Shull, Forrest; Seaman, Carolyn (2019)
Understanding automated and human-based technical debt identification approaches-a two-phase study. In: JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY, vol. 25. ISSN 0104-6500
Beretta, E.; Santangelo, A.; Lepri, B.; Vetro, A.; De Martin, J. C. (2019)
The Invisible Power of Fairness. How Machine Learning Shapes Democracy. In: 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON (Canada), 2019, pp. 238-250. ISBN: 978-3-030-18304-2
Conoscenti, M.; Besner, V.; Vetro, A.; Fernandez, D. M. (2019)
Combining data analytics and developers feedback for identifying reasons of inaccurate estimations in agile software development. In: THE JOURNAL OF SYSTEMS AND SOFTWARE, vol. 156, pp. 126-135. ISSN 0164-1212
Beretta, Elena; Vetro', Antonio; Bruno, Lepri; DE MARTIN, JUAN CARLOS (2019)
Ethical and Socially-Aware Data Labels. In: SIMBig 2018. 5th International Conference on Information Management and Big Data, Lima (Perú), 3-5/09/2018, pp. 320-327. ISBN: 978-3-030-11679-8
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