DeepSolar Tracker: Towards Unsupervised Assessment with Open-Source Data of the Accuracy of Deep Learning-Based Distributed PV Mapping. - Gabriel Kasmi; Laurent Dubus; Yves-Marie Saint-Drenan; Philippe Blanc (MACLEAN@PKDD/ECML, 2022)

A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata. - Gabriel Kasmi; Yves-Marie Saint-Drenan; David Trebosc; Raphaël Jolivet; Jonathan Leloux; Babacar Sarr; Laurent Dubus (CoRR, 2022)

Scale Matters: Attribution Meets the Wavelet Domain to Explain Model Sensitivity to Image Corruptions. - Gabriel Kasmi; Laurent Dubus; Yves-Marie Saint-Drenan; Philippe Blanc (CoRR, 2023)

Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems? - Gabriel Kasmi; Laurent Dubus; Yves-Marie Saint-Drenan; Philippe Blanc (CoRR, 2023)

Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems. - Gabriel Kasmi; Laurent Dubus; Yves-Marie Saint-Drenan; Philippe Blanc (CoRR, 2024)

One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability. - Gabriel Kasmi; Amandine Brunetto; Thomas Fel; Jayneel Parekh (CoRR, 2024)