MICHELA CARLOTTA MASSI

1. Massi MC, Franco NR, Manzoni A, Paganoni AM, Park HA, Hoffmeister M, et al. (2023) Learning high-order interactions for polygenic risk prediction. PLoS ONE 18(2): e0281618. https://doi.org/10.1371/journal.pone.0281618
    

2. Massi, M.C., Dominoni, L., Ieva F., Fiorito G., (2022) A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis. PLOS Computational Biology. doi: https://doi.org/10.1371/journal.pcbi.1009959
    

3. Manduchi, L., Marcinkeviks, R., Massi, M.C. (2022), A Deep Variational Approach to Clustering Survival Data, The Tenth International Conference on Learning Representations (ICLR2022).Openreview link
    

4. Massi M.C., Gasperoni F., Ieva F., Paganoni A.M., (2021) Feature selection for imbalanced data with deep sparse autoencoders ensemble, Statistical Analysis and Data Mining: The ASA Data Science Journal. doi: https://doi.org/10.1002/sam.11567
    

5. Franco N.R., Massi M.C., Ieva F. et al. (2021) Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity, Radiotherapy and Oncology. doi: 10.1016/j.radonc.2021.03.024
    

6. Massi, M.C., Ieva, F. (2021), Learning Signal Representations for EEG Cross-subject Channel Selection and Trial Classification, IEEE International Workshop on Machine Learning for Signal Processing. 
   doi: 10.1109/MLSP52302.2021.9596522
    

7. Massi, M.C., Gasperoni, F., Ieva, F., Paganoni, A.m., Zunino, P., Manzoni, A., Franco, N.r., Et Al. (2020) A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort. Accepted for publication in Frontiers in Oncology.
   doi: 10.3389/fonc.2020.541281
    

8. Massi, M.C., Ieva, F., Lettieri, E. (2020) Data Mining Application to Healthcare Fraud Detection: Two-Step Unsupervised Clustering Method for Outlier Detection with Administrative Databases. BMC Medical Informatics and Decision Making doi: 10.1186/s12911-020-01143-9
   
   
    

9. Massi M.C., Ieva F., (2021) "Cross-Subject EEG Channel Selection for the Detection of Predisposition to Alcoholism”, SIS2021 Book of Short Papers, ISBN 9788891927361
    

10. Franco N.R., Massi M.C., Ieva F., et al. (2021) Interpretability and interaction learning for logistic regression models, SIS2021 Book of Short Papers, ISBN 9788891927361
     

11. Massi M.C., Ieva F., Paganoni A.M., Zunino, P., Manzoni, A., Franco, N.r., Et Al. et al. (2020) Deep Sparse Autoencoder-based Feature Selection for SNPs validation in prostate cancer radiogenomics, SIS2020 Book of Short Papers, ISBN 9788891910776
     

12. N.R.Franco, Massi M.C., Ieva F., et al. (2020) Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences, SIS2020 Book of Short Papers, ISBN 9788891910776

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