Gilles Hacheme
Biographic Data
| ID | 7996614 |
|---|---|
| NAME | Gilles Hacheme |
| GIVEN NAMES | Gilles |
| FAMILY NAME | Hacheme |
| SIGNATURE | HACHEME G |
| AFFILIATIONS | Centre National de la Recherche Scientifique |
| ORCID | 0000-0002-9465-6558 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes
The rapid expansion of agriculture in Kenya, driven by the country’s growing population, poses critical environmental challenges such as climate change and biodiversity loss. While deforestation has received much attention, the equally vital grasslands are under significant threat. Monitoring efforts have often prioritized the extent of land conversion, with limited focus on the intensity of conversion, particularly in non-forest biomes. This stu…
Interpretable Machine Learning Using Partial Linear Models
Despite their high predictive performance, random forest and gradient boosting are often considered as black boxes which has raised concerns from practitioners and regulators. As an alternative, we suggest using partial linear models that are inherently interpretable. Specifically, we propose to combine parametric and non‐parametric functions to accurately capture linearities and non‐linearities prevailing between dependent and explanatory variab…
Neural Fashion Image Captioning
Image captioning has increasingly large domains of application, and fashion is not an exception. Having automatic item descriptions is of great interest for fashion web platforms hosting sometimes hundreds of thousands of images. This paper is one of the first tackling image captioning for fashion images. To contribute addressing dataset diversity issues, we introduced the InFashAIv1 dataset containing almost 16.000 African fashion item images wi…
No prominent works on this page.
Neural Fashion Image Captioning
Image captioning has increasingly large domains of application, and fashion is not an exception. Having automatic item descriptions is of great interest for fashion web platforms hosting sometimes hundreds of thousands of images. This paper is one of the first tackling image captioning for fashion images. To contribute addressing dataset diversity issues, we introduced the InFashAIv1 dataset containing almost 16.000 African fashion item images wi…
Interpretable Machine Learning Using Partial Linear Models
Despite their high predictive performance, random forest and gradient boosting are often considered as black boxes which has raised concerns from practitioners and regulators. As an alternative, we suggest using partial linear models that are inherently interpretable. Specifically, we propose to combine parametric and non‐parametric functions to accurately capture linearities and non‐linearities prevailing between dependent and explanatory variab…
Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes
The rapid expansion of agriculture in Kenya, driven by the country’s growing population, poses critical environmental challenges such as climate change and biodiversity loss. While deforestation has received much attention, the equally vital grasslands are under significant threat. Monitoring efforts have often prioritized the extent of land conversion, with limited focus on the intensity of conversion, particularly in non-forest biomes. This stu…
Artificial Intelligence (2 works) · Computer Science (2 works) · Geography (2 works) · Agroforestry (1 work) · Algorithm (1 work) · Artificial neural network (1 work) · Biology (1 work) · Closed captioning (1 work) · Ecology (1 work) · Econometrics (1 work)