Feasibility of Kd-Trees in Gaussian Process Regression to Partition Test Points in High Resolution Input Space. - Ivan De Boi; Bart Ribbens; Pieter Jorissen; Rudi Penne (Algorithms, 2020)

Dynamic Line Scan Thermography Parameter Design via Gaussian Process Emulation. - Simon Verspeek; Ivan De Boi; Xavier Maldague; Rudi Penne; Gunther Steenackers (Algorithms, 2022)

Input and Output Manifold Constrained Gaussian Process Regression for Galvanometric Setup Calibration. - Ivan De Boi; Seppe Sels; Olivier De Moor; Steve Vanlanduit; Rudi Penne (IEEE Trans. Instrum. Meas., 2022)

Semidata-Driven Calibration of Galvanometric Setups Using Gaussian Processes. - Ivan De Boi; Seppe Sels; Rudi Penne (IEEE Trans. Instrum. Meas., 2022)

How to Turn Your Camera into a Perfect Pinhole Model. - Ivan De Boi; Stuti Pathak 001; Marina Oliveira; Rudi Penne (CIARP, 2023)

On the Angular Control of Rotating Lasers by Means of Line Calculus on Hyperboloids. - Rudi Penne; Ivan De Boi; Steve Vanlanduit (Sensors, 2023)

Safe Bayesian optimization with simulation-informed Gaussian process for the constraints. - Santiago Ramos Garces; Ivan De Boi; João Pedro Ramos; Marc Dierckx; Lucia Popescu; Stijn Derammelaere (ICAAI, 2024)

Geometric Optimization through CAD-Based Bayesian Optimization with unknown constraint. - Abdelmajid Ben Yahya; Robbe De Laet; Santiago Ramos Garces; Nick Van Oosterwyck; Ivan De Boi; Annie Cuyt; Stijn Derammelaere (ICCMA, 2024)

Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression. - Ivan De Boi; Elissa Embrechts; Quirine Schatteman; Rudi Penne; Steven Truijen; Wim Saeys (Artif. Intell. Medicine, 2024)