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Dario Malchiodi

Università degli Studi di Milano unimi
(associate professor)
INRIA + UCA INRIA + UCA
(visiting scientist)
Université de la Côte d'Azur uca
(visiting professor)
Data Science Research Centre DSRC
(scientific board)


Information
03/07/2020
July oral tests of Statistics and data analysis
Students enrolled in the Statistics and data analysis test of 7/7 should receive an e-mail message containing the schedule of oral tests. Students interested in attending to the tests can consult the schedule, as well as the remote examination procedures.
21/06/2020
Office hours change
Starting Monday 15/06, office hour will be handled via e-mail.
11/06/2020
June oral tests of Statistics and data analysis
Students enrolled in the Statistics and data analysis test of 17/6 should receive an e-mail message containing the schedule of oral tests. Students interested in attending to the tests can consult the schedule, as well as the remote examination procedures.
09/06/2020
Procedures for distance-based examination
Students are invited to read the description of the remote examination procedures for the «Statistics and data analysis» course.

Teaching activities


Bachelor, master and PhD

  • Algorithms for massive datasets @unimi master Lectures are in English 2019-20
  • Architectural partterns for distributed ML @unimi PhD Lectures are in English 2019-20
  • Big scale analytics @unimi master Lectures are in italian 2018-19
  • Computer programming for data analysis @uca DUT Lectures are in french 2019-20
  • Computing education @unimi master Lectures are in italian 2018-192019-20
  • Data bases II @uca DUT Lectures are in french 2018-19
  • Data mining @uca DUT Lectures are in french 2018-19
  • Statistics and data analytics @unimi bachelor Lectures are in italian 2018-192019-20

Other activities

  • Algorithms for bioinformatics @unimi 2nd lev. specialization Lectures are in English 2018-19
  • Computer programming for bioinformatics @unimi 2nd lev. specialization Lectures are in English 2018-19
  • Data integration and visualization @unimi 2nd lev. specialization Lectures are in English 2018-19
All activities

Research


Research areas

  • Data-driven induction of fuzzy sets
  • Compression of machine learning models
  • Mining of knowledge bases in semantic Web
  • Negative example selection in bioinformatics
  • Application of ML in veterinary and forensics
  • Popularization of informatics culture
All areas

Projects

All projects

Publications


[Malchiodi et al., 2020] Malchiodi D., da Costa Pereira C. and Tettamanzi A. G. B. Classifying Candidate Axioms via Dimensionality Reduction Techniques, in and V. Torra (Ed.), Modeling Decisions for Artificial Intelligence. Proceedings of MDAI2020, Springer, Lecture Notes in Artificial Intelligence 12256, 2020 [doi> BIBTEX]

[Cermenati et al., 2020] Cermenati L., Malchiodi D. and Zanaboni A. Simultaneous Learning of Fuzzy Sets, in A. Esposito, M. Faundez-Zanuy, M. Morabito and E. Pasero (Eds.), Neural Approaches to Dynamics of Signal Exchanges, Singapore: Springer, Smart Innovation, Systems and Technologies, 167-175, 2020 [doi> BIBTEX]

[Lodi et al., 2019] Lodi M., Malchiodi D., Monga M., Morpurgo A. and Spieler B. Constructionist Attempts at Supporting the Learning of Computer Programming: A Survey, Olympiads in Informatics 13 (2019), 99—121 [doi> BIBTEX]

[Malchiodi and Zanaboni, 2019] Malchiodi D. and Zanaboni A. Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness, in R. Fullér, S. Giove and F. Masulli (Eds.), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Cham: Springer Nature Switzerland AG, Lecture Notes in Artificial Intelligence 11291 (ISBN 978-3-030-12543-1/978-3-030-12544-8), 17—28, 2019 [doi> BIBTEX]

[Malchiodi et al., 2018] Malchiodi D., da Costa Pereira C. and Tettamanzi A. G. B. Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression, in D. Ciucci, G. Pasi and B. Vantaggi (Eds.), Scalable Uncertainty Management. SUM 2018, Cham: Springer, Lecture Notes in Artificial Intelligence 11142 (ISBN 978-3-030-00460-6/978-3-030-00461-3), 2018 [doi> BIBTEX]

[Boldi et al., 2018] Boldi P., Frasca M. and Malchiodi D. Evaluating the impact of topological protein features on the negative examples selection, BMC Bioinformatics 19 - 14 (2018), 417.115–417.126 [doi> Open access link BIBTEX]

[Malchiodi and Tettamanzi, 2018] Malchiodi D. and Tettamanzi A. G. B. Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering, in H. Haddad, R. L. Wainwright and R. Chbeir (Eds.), SAC'18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, ACM (ISBN 9781450351911), 1984–1991, 2018 [doi> BIBTEX]

[Malchiodi and Pedrycz, 2013] Malchiodi D. and Pedrycz W. Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering, in F. Masulli, G. Pasi and R. Yager (Eds.), Fuzzy Logic and Applications. 10th International Workshop, WILF 2013, Genoa, Italy, November 19–22, 2013. Proceedings., Vol. 8256, Springer International Publishing, Switzerland, Lecture Notes on Artificial Intelligence (ISBN 978-3-319-03199-6), 52–59, 2013 [doi> BIBTEX]

All publications