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)

first . last at unimi . it

PGP 470D 8811 C4B3 787A

dariomalchiodi

@dariomalchiodi

Dario Malchiodi

0000-0002-7574-697X

Scopus ID: 6507119064

Dario_Malchiodi

@dariomalchiodi

short

compact

full

Information
13/02/2020 Office hours on February, 20th The office hours of Februaty, 20th are canceled.
13/02/2020 Schedule change for the Architecturel patterns for distributed machine learning application course The lecture of the course Architectural patterns for distributed machine learning application of 26/2 is postponed on 2/3, between 15:30 and 18:30 in the laboratorio magistrale classroom of the third floor.
12/02/2020 Classroom change for the Architecturel patterns for distributed machine learning application course The lectures of the course Architectural patterns for distributed machine learning application will take place in different classrooms than previously announced. Students are invited to check the new course timetable.
24/01/2020 Results of the Statistics and data analysis written test of February, 7th 2020, oral test calendar, and public correction Students enrolled in the Statistics and data analysis test of 7/2 should receive an e-mail message showing their result. The oral tests will take place in the "laboratorio magistrale 5° piano" room of the Computer science Department, according to the following schedule organized by last name initial: Wednesday 12/2 at 15:30 (A-C); Thursday 13/2 at 9:30 (D-F); Friday 14/2 at 14:30 (G-Z). The public correction will take place on Thursday 20/2 at 9:30 in the "laboratorio magistrale 5° piano" room of the Computer science Department. Students with further questions are invited to show up during office hours.

Teaching activities

Bachelor, master and PhD

Algorithms for massive datasets @unimi master 2019-20
Big scale analytics @unimi master 2018-19
Computer programming for data analysis @uca DUT 2019-20
Computing education @unimi master 2018-19 – 2019-20
Data bases II @uca DUT 2018-19
Data mining @uca DUT 2018-19
Statistics and data analytics @unimi bachelor 2018-19 – 2019-20

Other activities

Algorithms for bioinformatics @unimi 2nd lev. specialization 2018-19
Architectural partterns for distributed ML @unimi PhD 2019-20
Computer programming for bioinformatics @unimi 2nd lev. specialization 2018-19
Data integration and visualization @unimi 2nd lev. specialization 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

Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond PRIN
Fostering a correct view of informatics PSR

All projects

Publications

[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