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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
30/05/2020
Accepted paper at MDAI 2020
The paper «Classifiying Candidate Axioms via Dimensionality Reduction Techniques», wich I coauthored with Célia da Costa Pereira and Andrea Tettamanzi, has been accepted at the «Modeling Decisions for Artificial Intelligence 2020» conference.
14/05/2020
Exam modalities for the «Statistics and data analysis» course
The page of the «Statistics and data analysis» course has been updated with the exam modalities adopted as a result of the Coronavirus emergency.
14/05/2020
Projects for the «Algorithms for massive datasets» course
The description of the projects for the course «Algorithms for massive datasets» are available, as well as a joint project with the «Statistical methods for machine learning» course.
08/05/2020
Springer books available for free
Springer publishing provides for free books on basic and advanced computer science topics.

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.), Proceedings of MDAI2020, Springer, Lecture Notes in Artificial Intelligence, 2020 [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