Gabriel Kasmi

According to our database, Gabriel Kasmi authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Is Bigger Always Better? Efficiency Analysis in Resource-Constrained Small Object Detection.

Kwame Mbobda-Kuate, Gabriel Kasmi

CoRR, March, 2026

2025

One Wave To Explain Them All: A Unifying Perspective On Feature Attribution.

Gabriel Kasmi, Amandine Brunetto, Thomas Fel, Jayneel Parekh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability.

Gabriel Kasmi, Amandine Brunetto, Thomas Fel, Jayneel Parekh

CoRR, 2024

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

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

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

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

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

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), 2022