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Ivan De Boi
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2020 – today
- 2024
- [j6]Ivan De Boi, Elissa Embrechts, Quirine Schatteman, Rudi Penne, Steven Truijen, Wim Saeys:
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression. Artif. Intell. Medicine 149: 102770 (2024) - 2023
- [j5]Rudi Penne, Ivan De Boi, Steve Vanlanduit:
On the Angular Control of Rotating Lasers by Means of Line Calculus on Hyperboloids. Sensors 23(13): 6126 (2023) - [c1]Ivan De Boi, Stuti Pathak, Marina Oliveira, Rudi Penne:
How to Turn Your Camera into a Perfect Pinhole Model. CIARP 2023: 90-107 - [i2]Ivan De Boi, Stuti Pathak, Marina Oliveira, Rudi Penne:
How to turn your camera into a perfect pinhole model. CoRR abs/2309.11326 (2023) - [i1]Ivan De Boi, Elissa Embrechts, Quirine Schatteman, Rudi Penne, Steven Truijen, Wim Saeys:
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression. CoRR abs/2310.13701 (2023) - 2022
- [j4]Simon Verspeek, Ivan De Boi, Xavier Maldague, Rudi Penne, Gunther Steenackers:
Dynamic Line Scan Thermography Parameter Design via Gaussian Process Emulation. Algorithms 15(4): 102 (2022) - [j3]Ivan De Boi, Seppe Sels, Olivier De Moor, Steve Vanlanduit, Rudi Penne:
Input and Output Manifold Constrained Gaussian Process Regression for Galvanometric Setup Calibration. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j2]Ivan De Boi, Seppe Sels, Rudi Penne:
Semidata-Driven Calibration of Galvanometric Setups Using Gaussian Processes. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - 2020
- [j1]Ivan De Boi, Bart Ribbens, Pieter Jorissen, Rudi Penne:
Feasibility of Kd-Trees in Gaussian Process Regression to Partition Test Points in High Resolution Input Space. Algorithms 13(12): 327 (2020)
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