no code implementations • 12 Jan 2024 • Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka
Feature selection in noisy label scenarios remains an understudied topic.
no code implementations • 6 Jan 2024 • Luca Cattelani, Giusy del Giudice, Angela Serra, Michele Fratello, Laura Aliisa Saarimäki, Vittorio Fortino, Antonio Federico, Periklis Tsiros, Marika Mannerström, Tarja Toimela, Tommaso Serchi, Iseult Lynch, Philip Doganis, Haralambos Sarimveis, Dario Greco
Traditional animal testing for toxicity is expensive, time consuming, ethically questioned, sometimes inaccurate because of the necessity to extrapolate from animal to human, and in most cases not formally validated according to modern standards.
no code implementations • 27 Dec 2023 • Luca Cattelani, Vittorio Fortino
The challenge in biomarker discovery using machine learning from omics data lies in the abundance of molecular features but scarcity of samples.
1 code implementation • 26 May 2023 • Vandad Imani, Carlos Sevilla-Salcedo, Elaheh Moradi, Vittorio Fortino, Jussi Tohka
However, the use of multi-view data leads to an increase in high-dimensional data, which poses significant challenges for the prediction models that can lead to poor generalization.