Andrea Campagner
Once you eliminate the impossible, whatever remains
no matter how improbable, must be the truth
About
My name is Andrea Campagner and I'm a PhD Student in Computer Science @ University of Milano-Bicocca, working in the MUDI (Modeling Uncertainty, Decisions and Interaction) lab.
My research interest lie at the intersection of Machine Learning, Uncertainty Representation and Human-Computer Interaction. Thus, I'm particularly interested in the following topics:
Formal models of uncertainty (Rough Sets, Fuzzy Sets, Imprecise Probability)
Weakly Supervised Learning
Cautious/Robust/Selective Learning and Conformal Prediction
Computational Learning Theory
Ensemble Learning
Explainable Artificial Intelligence
Human-AI Interaction
AI-supported Decision Making
I'm also interested, more in general, in Medical Artificial Intelligence and Theoretical Computer Science (Logics, Complexity Theory, etc.)
Contact
Academic Interests
If you want to chat about work
Uncertainty Representation
(Computational) Learning Theory
Human-AI Interaction
Applications of AI/ML in Medicine
Theoretical Computer Science
Hobbies
If you want to have a casual conversation
Argentine dances, Boogie Woogie
Videogames
Cinema & Series
Reading
Language Learning
Traveling
Publication List
The list of articles I have published
- Entropy‐based shadowed set approximation of intuitionistic fuzzy sets
- As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
- Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
- A Formal Learning Theory for Three-Way Clustering
- Ensemble Learning, Social Choice and Collective Intelligence
Education
2019-2022
PhD in Computer Science (Machine Learning)
University of Milano-Bicocca
2015-2017
MSc in Computer Science
110/110 cum laude
University of Milano-Bicocca
Main Subjects: Uncertainty Representation, Logics, Machine Learning, Theoretical Computer Science
2012-2015
BSc in Computer Science
110/110 cum laude
University of Milano-Bicocca
Main Subjects: Algorithms, Theoretical Computer Science, Software Engineering
Work and Teaching Experience
March 2021
Lecturer
Lecturer on "Explainability and Fairness in Artificial Intelligence"
Master Degree in Nudge and Public Policies
University of Milano-Bicocca
Nov 2019-Sep 2021
Teaching Assistant
Teaching assistant for the "Formal Languages and Computability" lab (topic: parser and lexer generation)
Bachelor Degree in Computer Science
University of Milano-Bicocca
Jul 2019-Dec 2019
Research Consultant
Research consultant on Machine Learning and Data Reliability
IRCCS Istituto Ortopedico Galeazzi (Milan)
Nov 2018-Jun 2019
Clinical Data Scientist
Database and Machine Learning Engineering
Link Up (Cinisello Balsamo)
Deloitte (Milan)
Jan 2018-Mar 2018
Junior Game Programmer
UI and Game Logic Programming
Milestone s.r.l. (Milan)
Feb 2015-May 2015
Research Intern
Development of data analysis pipelines for cancer data
University of Milano-Bicocca
Academic Activity
Program Committee Member
CD-MAKE 2021: 5th Cross Domain Conference or Machine Learning and Knowledge Extraction
HEALTHINF 2021: 14th conference on health informatics
HEALTHINF 2020: 13th conference on health informatics
Reviewing Activity (Journals)
Reviewing Activity (Conferences)
ICAART 2021: 13th International Conference on Agents and Artificial Intelligence
CD-MAKE 2020: 4th Cross Domain Conference for Machine Learning and Knowledge Extraction
ICAART 2020: 12th International Conference on Agents and Artificial Intelligence
IJCRS 2020: 5h International Joint Conference on Rough Sets
CD-MAKE 2019: 3rd Cross Domain Conference for Machine Learning and Knowledge Extraction
IJCRS 2019: 4th International Joint Conference on Rough Sets