Campagner Andrea

Research Topic:

My current research topic is the investigation of Machine Learning-based  Decision Support Systems in the clinical domain, with a focus on: uncertainty representation and management and model explainability.

Publications

2019

Andrea Campagner, Federico Cabitza, Davide Ciucci. “Three-Way Classification: Ambiguity and Abstention in Machine Learning” in Proceedings of the International Joint Conference on Rough Sets, IJCRS 2019

Andrea Campagner, Federico Cabitza, Davide Ciucci. “Exploring Medical Data Classification with Three-way Decisions” in Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies

2018

Andrea Campagner, Davide Ciucci. “Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions.” in Communications in Computer  and Information Science vol. 854 (Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations – Proceedings of the IPMU 2018 conference)

2017

Andrea Campagner, Davide Ciucci. “Measuring Uncertainty in Orthopairs” in Lecture Notes in Computer Science vol. 10369 (Symbolic and Quantitative Approaches to Reasoning with Uncertainty – Proceedings of the 14th European Conference “ECSQARU 2017”)

 

Lab

http://www.syslab.disco.unimib.it/

Contacts

 a dot campagner at disco dot unimib dot it
+39 02 6448 7861

Room T032 – SYSLAB
Edificio U14
Viale Sarca 336
Milano

 

 

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