Prediction of soft proton intensities in the near-Earth space using machine learning. - Elena A. Kronberg; Tanveer Hannan; Jens Huthmacher; Marcus Münzer; Florian Peste; Ziyang Zhou; Max Berrendorf; Evgeniy Faerman; Fabio Gastaldello; Simona Ghizzardi; Philippe Escoubet; Stein Haaland; et al. (CoRR, 2021)

The Potential of LEO-PNT Mega-Constellations for Ionospheric 3-D Imaging: A Simulation Study. - Fabricio dos Santos Prol; Artem Smirnov; Sanna Kaasalainen; Mohammed Mainul Hoque; Mohammad Zahidul H. Bhuiyan; Francesco Menzione (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

AI-driven transcriptomic encoders: From explainable models to accurate, sample-independent cancer diagnostics. - Danilo Croce; Artem Smirnov; Luigi Tiburzi; Serena Travaglini; Roberta Costa; Armando Calabrese; Roberto Basili 001; Nathan Levialdi Ghiron; Gerry Melino (Expert Syst. Appl., 2024)