Malchiodi Dario

PROFESSORE ASSOCIATO CONFERMATO
SSD
INF/01 - INFORMATICA
Settore concorsuale
01/B1 - INFORMATICA

Contatti

Sede di lavoro

Via Celoria, 18

Numero di telefono dell'ufficio
02503 16338
E-mail di ateneo
Sito web
Ricevimento
Su appuntamento (via e-mail)
Didattica - insegnamenti

Post laurea

A.A. 2020/2021
Master di primo livello
A.A. 2019/2020
A.A. 2018/2019
Master di primo livello
Master di secondo livello
Ricerca

Pubblicazioni

Pubblicazioni
  • A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles / M. Casali, D. Malchiodi, C. Spada, A.M. Zanaboni, R. Cotroneo, D. Furci, A. Sommariva, U. Genovese, A. Blandino. - In: JOURNAL OF FORENSIC AND LEGAL MEDICINE. - ISSN 1752-928X. - 84(2021 Nov), pp. 102256.1-102256.7. [10.1016/j.jflm.2021.102256]
  • Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols / M. Bagardi, C. Locatelli, A.M. Zanaboni, A. Galizzi, D. Malchiodi, G. Brambilla Paola. - In: POLISH JOURNAL OF VETERINARY SCIENCES. - ISSN 1505-1773. - 24(2021 Mar), pp. 109-118. [10.24425/pjvs.2021.136799]
  • Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease / A. Galizzi, M. Bagardi, A. Stranieri, A.M. Zanaboni, D. Malchiodi, V. Borromeo, P.G. Brambilla, C. Locatelli. - In: BMC VETERINARY RESEARCH. - ISSN 1746-6148. - 17:1(2021 Jan 07), pp. 15.1-15.14.
  • Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System / A. Esposito, E. Casiraghi, F. Chiaraviglio, A. Scarabelli, E. Stellato, G. Plensich, G. Lastella, L. Di Meglio, S. Fusco, E. Avola, A. Jachetti, C. Giannitto, D. Malchiodi, M. Frasca, A. Beheshti, P.N. Robinson, G. Valentini, L. Forzenigo, G. Carrafiello. - In: REPORTS IN MEDICAL IMAGING. - ISSN 1179-1586. - 14(2021), pp. 27-39. [10.2147/RMI.S292314]
  • Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks / G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE). - In: Reproducible Research in Pattern Recognition / [a cura di] B. Kerautret, M. Colom, A. Krähenbühl, D. Lopresti, P. Monasse, H. Talbot. - [s.l] : Springer, 2021. - ISBN 978-3-030-76422-7. - pp. 161-166 (( Intervento presentato al 3. convegno International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021 tenutosi a Milano nel 2021 [10.1007/978-3-030-76423-4_12].