AI4LUNGS aims at making science and research accessible to all by publishing scientifc publications on open access platforms.

Scientific Publications

01.

On Entropic Learning from Noisy Time Series in the Small Data Regime

Davide Bassetti, Lukáš Pospíšil, Illia Horenko

02.

Fast and close Shannon entropy approximation

Davide Bassetti, Lukáš Pospíšil, Illia Horenko

03.

An entropy-optimal path to humble AI

Davide Bassetti, Lukáš Pospíšil, Michael Groom, Terence J. O'Kane, Illia Horenko

04.

Digital Ethics Principles for the Development of AI-based stratification tools

Isabelle Schlegel, Marcel Rebbert, Magdalena Kogut

05.

Linearly-scalable and entropy-optimal learning of nonstationary and nonlinear manifolds

Illia Horenko

06.

Co-Designing Trustworthy Connected Medical Devices: A Vee-Model Framework for Usability and Regulatory Alignment

Athanasios Arvanitidis, Anna Palaiologk