Comparison of built-up area maps produced within the global human settlement framework. - Filip Sabo; Christina Corbane; Aneta J. Florczyk; Stefano Ferri; Martino Pesaresi; Thomas Kemper (Trans. GIS, 2018)

Update and improvement of the European Settlement map. - Filip Sabo; Christina Corbane; Panagiotis Politis; Martino Pesaresi; Thomas Kemper (JURSE, 2019)

The Generalised Settlement Area: mapping the Earth surface in the vicinity of built-up areas. - Aneta J. Florczyk; Michele Melchiorri; Julian Zeidler; Christina Corbane; Marcello Schiavina; Sérgio Freire 002; Filip Sabo; Panagiotis Politis; Thomas Esch; Martino Pesaresi (Int. J. Digit. Earth, 2020)

Application of the Symbolic Machine Learning to Copernicus VHR Imagery: The European Settlement Map. - Christina Corbane; Filip Sabo; Vassilis Syrris; Thomas Kemper; Panagiotis Politis; Martino Pesaresi; Pierre Soille; Kenji Ose (IEEE Geosci. Remote. Sens. Lett., 2020)

Leveraging ALOS-2 PALSAR-2 for Mapping Built-Up Areas and Assessing Their Vertical Component. - Christina Corbane; Soushi Kato; Koki Iwao; Filip Sabo; Panagiotis Politis; Martino Pesaresi; Thomas Kemper (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Detection of Changes in Built-Up Areas with a Fully Convolutional Network in the Context of the European Settlement Map. - Christina Corbane; Filip Sabo; Panagiotis Politis; Vasileios Syrris (IGARSS, 2021)

Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery. - Christina Corbane; Vasileios Syrris; Filip Sabo; Panagiotis Politis; Michele Melchiorri; Martino Pesaresi; Pierre Soille; Thomas Kemper (Neural Comput. Appl., 2021)

ClassONN: Classification with Oscillatory Neural Networks Using the Kuramoto Model. - Filip Sabo; Aida Todri-Sanial (DATE, 2024)

Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal. - Filip Sabo; Martin Claverie; Michele Meroni; Arthur Hrast-Essenfelder (CoRR, 2024)

Lagrange Oscillatory Neural Networks for Constraint Satisfaction and Optimization. - Corentin Delacour; Bram Haverkort; Filip Sabo; Nadine Azémard; Aida Todri-Sanial (CoRR, 2025)

From Rows to Yields: How Foundation Models for Tabular Data Simplify Crop Yield Prediction. - Filip Sabo; Michele Meroni; Maria Piles; Martin Claverie; Fanie Ferreira; Elna Van Den Berg; Francesco Collivignarelli; Felix Rembold (CoRR, 2025)

Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation. - George Tsormpatzoglou; Filip Sabo; Aida Todri-Sanial (CoRR, 2025)