Moises Exposito-Alonso

According to our database, Moises Exposito-Alonso authored at least 4 papers between 2022 and 2025.

Collaborative distances:

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

2025

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets.

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moises Exposito-Alonso, Teja Kattenborn

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DivShift: Exploring Domain-Specific Distribution Shift in Volunteer-Collected Biodiversity Datasets.

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moises Exposito-Alonso, Teja Kattenborn

CoRR, 2024

Contrastive Ground-Level Image and Remote Sensing Pre-training Improves Representation Learning for Natural World Imagery.

Andy V. Huynh, Lauren E. Gillespie, Jael Lopez-Saucedo, Claire Tang, Rohan Sikand, Moises Exposito-Alonso

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

grenepipe: a flexible, scalable and reproducible pipeline to automate variant calling from sequence reads.

Lucas Czech, Moises Exposito-Alonso

Bioinform., October, 2022