output
20162025
most citedRetrieval of aboveground crop nitrogen content with a hybrid machine learning method

188 citations

15 papers

q-bio.PE2025

Fire severity and recovery across Europe: insights from forest diversity and landscape metrics

Eatidal Amin, Cassio F. Dantas, Dino Ienco +2

In recent decades, European forests have faced an increased incidence of fire disturbances. This phenomenon is likely to persist, given the rising frequency of extreme events expec…

cs.CL2024

Adaptations of AI models for querying the LandMatrix database in natural language

Fatiha Ait Kbir, Jérémy Bourgoin, Rémy Decoupes +2

The Land Matrix initiative (https://landmatrix.org) and its global observatory aim to provide reliable data on large-scale land acquisitions to inform debates and actions in sector…

cs.LG20241 cited

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning

Dino Ienco, Cassio Fraga Dantas

Cross-modal knowledge distillation (CMKD) refers to the scenario in which a learning framework must handle training and test data that exhibit a modality mismatch, more precisely,…

q-bio.PE2024

Cartographie de l'habitat de reproduction du tétras-lyre (Lyrurus tetrix) dans les Alpes françaises

Alexandre Defossez, Samuel Alleaume, Marc Montadert +2

The Black Grouse (Lyrurus tetrix) is an emblematic alpine species with high conservation importance. The population size of these mountain bird tends to decline on the reference si…

cs.CL20241 cited

Taec: a Manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature

Claire Nédellec, Clara Sauvion, Robert Bossy +2

Wheat varieties show a large diversity of traits and phenotypes. Linking them to genetic variability is essential for shorter and more efficient wheat breeding programs. Newly desi…

astro-ph.CO2023

Multimodality for improved CNN photometric redshifts

R. Ait-Ouahmed, S. Arnouts, J. Pasquet +2

Photometric redshift estimation plays a crucial role in modern cosmological surveys for studying the universe's large-scale structures and the evolution of galaxies. Deep learning…