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Massi, Michela Carlotta
38  Ergebnisse:
Personensuche X
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1

Dual adversarial deconfounding autoencoder for joint batch-..:

Cavinato, Lara ; Massi, Michela Carlotta ; Sollini, Martina..
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

A Deep Survival EWAS approach estimating risk profile based..:

Massi, Michela Carlotta ; Dominoni, Lorenzo ; Ieva, Francesca..
PLOS Computational Biology.  18 (2022)  9 - p. e1009959 , 2022
Link: https://doi.org/10.1371/..
 
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3

Feature selection for imbalanced data with deep sparse auto..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca.
Statistical Analysis and Data Mining: The ASA Data Science Journal.  15 (2021)  3 - p. 376-395 , 2021
Link: https://doi.org/10.1002/..
 
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4

Development of a method for generating SNP interaction-awar..:

Franco, Nicola Rares ; Massi, Michela Carlotta ; Ieva, Francesca...
Radiotherapy and Oncology.  159 (2021)  - p. 241-248 , 2021
Link: https://doi.org/10.1016/..
 
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5

Data mining application to healthcare fraud detection: a tw..:

Massi, Michela Carlotta ; Ieva, Francesca ; Lettieri, Emanuele
BMC Medical Informatics and Decision Making.  20 (2020)  1 - p. , 2020
Link: https://doi.org/10.1186/..
 
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6

A Deep Learning Approach Validates Genetic Risk Factors for..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca...
Frontiers in Oncology.  10 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
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7

Dual adversarial deconfounding autoencoder for joint batch-..:

Cavinato, Lara ; Massi, Michela Carlotta ; Sollini, Martina..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620174/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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8

Dual adversarial deconfounding autoencoder for joint batch-..:

Cavinato, Lara ; Massi, Michela Carlotta ; Sollini, Martina..
volume:13.  , 2023
Link: https://hdl.handle.net/1..
 
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9

A Deep Survival EWAS approach estimating risk profile based..:

Massi, Michela Carlotta ; Dominoni, Lorenzo ; Ieva, Francesca.
info:eu-repo/semantics/altIdentifier/pmid/36155971.  , 2022
Link: http://hdl.handle.net/11..
 
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10

Development of a method for generating SNP interaction-awar..:

Franco, Nicola Rares ; Massi, Michela Carlotta ; Ieva, Francesca...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754257/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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11

Feature selection for imbalanced data with deep sparse auto..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca.
info:eu-repo/semantics/altIdentifier/wos/WOS:000729374100001.  , 2021
Link: http://hdl.handle.net/11..
 
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12

A Deep Learning Approach Validates Genetic Risk Factors for..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca...
doi:10.17863/CAM.59294.  , 2020
Link: https://doi.org/10.17863..
 
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13

A Deep Learning Approach Validates Genetic Risk Factors for..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593843/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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14

A Deep Learning Approach Validates Genetic Risk Factors for..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca...
https://www.repository.cam.ac.uk/handle/1810/314799.  , 2020
Link: https://www.repository.c..
 
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15

Data mining application to healthcare fraud detection: a tw..:

Massi, Michela Carlotta ; Ieva, Francesca ; Lettieri, Emanuele
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362640/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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