Dario Malchiodi
Università degli Studi di Milano unimi
(associate professor)
INRIA + UCA INRIA + UCA
(visiting scientist)
Data Science Research Centre DSRC
(scientific board)
first . last at unimi . it
Dario Malchiodi| News |
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17/09/2023 research Accepted paper in «IEEE Access» The paper «Efficient and Compact Representations of Deep Neural Networks via Entropy Coding», wich I coauthored with G. Marinò, F. Furia and M. Frasca, has been accepted for publication in IEEE Access. |
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17/09/2023 teaching SAD September oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 13/9 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the meeting room on the fifth floor of the Computer Science Department, at 14:30 on Tuesday 19/9 and at 14:30 on Thursady 20/9. |
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10/09/2023 teaching SAD Place and time of the Statistics and data analysis written test of September 13th, 2023 The Statistics and data analytics written test of 13/9 will take place in the classrooms omega and sigma of the computer science department, at 8:30. Participants can bring a book and a notebook for consultation. |
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11/07/2023 teaching SAD July oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 6/7 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the fifth floor of the Computer Science Department on Thursday 13/07 (14:30, meeting room), Friday 14/07 (9:30, meeting room and 14:30, lab. magistrale), and Monday 17/07 (9:30 and 14:30, meeting room). The public correction of the written test will take place on 17/7 at the end of the oral tests. |
Teaching activities
Bachelor, master and PhD
- Algorithms for massive data (DSE)
@unimi master
2021-22
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2022-23
- Algorithms for massive datasets
@unimi master 2021-22
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2022-23
- Computer programming for data analysis
@uca DUT
2021-22
- Statistics and data analytics
@unimi bachelor
2021-22
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2022-23
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
- ML-based COVID-19 risk prediction
- Application of ML in veterinary and forensics
- Popularization of informatics culture