Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Michela, C."'
Autor:
Massi, Michela C., Ieva, Francesca
EEG technology finds applications in several domains. Currently, most EEG systems require subjects to wear several electrodes on the scalp to be effective. However, several channels might include noisy information, redundant signals, induce longer pr
Externí odkaz:
http://arxiv.org/abs/2106.10633
Autor:
Manduchi, Laura, Marcinkevičs, Ričards, Massi, Michela C., Weikert, Thomas, Sauter, Alexander, Gotta, Verena, Müller, Timothy, Vasella, Flavio, Neidert, Marian C., Pfister, Marc, Stieltjes, Bram, Vogt, Julia E.
In this work, we study the problem of clustering survival data $-$ a challenging and so far under-explored task. We introduce a novel semi-supervised probabilistic approach to cluster survival data by leveraging recent advances in stochastic gradient
Externí odkaz:
http://arxiv.org/abs/2106.05763
Class imbalance is a common issue in many domain applications of learning algorithms. Oftentimes, in the same domains it is much more relevant to correctly classify and profile minority class observations. This need can be addressed by Feature Select
Externí odkaz:
http://arxiv.org/abs/2103.11678
Autor:
Bianco, Rachele, Speciani, Michela C, Parpinel, Maria, Tesi, Matteo, Ferraroni, Monica, Edefonti, Valeria
Publikováno v:
In Advances in Nutrition February 2024 15(2)
Autor:
Massi, Michela C., Franco, Nicola R., Ieva, Francesca, Manzoni, Andrea, Paganoni, Anna Maria, Zunino, Paolo
Logistic Regression (LR) is a widely used statistical method in empirical binary classification studies. However, real-life scenarios oftentimes share complexities that prevent from the use of the as-is LR model, and instead highlight the need to inc
Externí odkaz:
http://arxiv.org/abs/2102.12974
Autor:
Dominik Menges, Michela C. Piatti, Aurelius Omlin, Richard Cathomas, Daniel Benamran, Stefanie Fischer, Christophe Iselin, Marc Küng, Anja Lorch, Lukas Prause, Christian Rothermundt, Alix O'Meara Stern, Deborah Zihler, Max Lippuner, Julia Braun, Thomas Cerny, Milo A. Puhan
Publikováno v:
European Urology Open Science, Vol 51, Iss , Pp 26-38 (2023)
Background: Patient preferences for treatment outcomes are important to guide decision-making in clinical practice, but little is known about the preferences of patients with metastatic hormone-sensitive prostate cancer (mHSPC). Objective: To evaluat
Externí odkaz:
https://doaj.org/article/e0c1e180eac24f009c233291a5887f69
Autor:
Menges, Dominik, Piatti, Michela C., Omlin, Aurelius, Cathomas, Richard, Benamran, Daniel, Fischer, Stefanie, Iselin, Christophe, Küng, Marc, Lorch, Anja, Prause, Lukas, Rothermundt, Christian, O'Meara Stern, Alix, Zihler, Deborah, Lippuner, Max, Braun, Julia, Cerny, Thomas, Puhan, Milo A.
Publikováno v:
In European Urology Open Science May 2023 51:26-38
Autor:
Michela C Massi, Nicola R Franco, Andrea Manzoni, Anna Maria Paganoni, Hanla A Park, Michael Hoffmeister, Hermann Brenner, Jenny Chang-Claude, Francesca Ieva, Paolo Zunino
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0281618 (2023)
Within the framework of precision medicine, the stratification of individual genetic susceptibility based on inherited DNA variation has paramount relevance. However, one of the most relevant pitfalls of traditional Polygenic Risk Scores (PRS) approa
Externí odkaz:
https://doaj.org/article/687ea8a7520b4b3dbc3e3d4002b22606