Michela Carlotta Massi

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 9

Top Topics

Ensemble Classifier

Unsupervised Learning

Fraud Detection

Top Venues

BMC Medical Informatics Decis. Mak.

Stat. Anal. Data Min.

Publications

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)
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) (2022)
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) (2022)
Michela Carlotta Massi, Francesca Ieva
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. MLSP (2021)
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 (2021)
Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino
Learning High-Order Interactions via Targeted Pattern Search. CoRR (2021)
Michela Carlotta Massi, Francesca Ieva
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. CoRR (2021)
Michela Carlotta Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble. CoRR (2021)
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) (2020)