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2020 – today
- 2022
[j3]Michela Carlotta Massi
, Lorenzo Dominoni, Francesca Ieva, Giovanni Fiorito:
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis. PLoS Comput. Biol. 18(9): 1009959 (2022)- [j2]Michela Carlotta Massi, Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni:
Feature selection for imbalanced data with deep sparse autoencoders ensemble. Stat. Anal. Data Min. 15(3): 376-395 (2022) - [c2]Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Thomas J. Weikert, Alexander Sauter, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Bram Stieltjes, Julia E. Vogt:
A Deep Variational Approach to Clustering Survival Data. ICLR 2022 - 2021
- [c1]Michela Carlotta Massi, Francesca Ieva:
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. MLSP 2021: 1-6 - [i4]Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino:
Learning High-Order Interactions via Targeted Pattern Search. CoRR abs/2102.12974 (2021) - [i3]Michela Carlotta Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni:
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble. CoRR abs/2103.11678 (2021) - [i2]Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Julia E. Vogt:
A Deep Variational Approach to Clustering Survival Data. CoRR abs/2106.05763 (2021) - [i1]Michela Carlotta Massi, Francesca Ieva:
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. CoRR abs/2106.10633 (2021) - 2020
- [j1]Michela Carlotta Massi, Francesca Ieva, Emanuele Lettieri:
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases. BMC Medical Informatics Decis. Mak. 20(1): 160 (2020)
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