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Nina Van Tiel
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2020 – today
- 2024
- [j1]Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia:
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. Ecol. Informatics 81: 102623 (2024) - [c2]Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Samuel Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart:
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. WACV (Workshops) 2024: 31-40 - [i2]Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia:
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. CoRR abs/2401.02989 (2024) - [i1]Robin Zbinden, Nina Van Tiel, Marc Rußwurm, Devis Tuia:
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling. CoRR abs/2403.07472 (2024) - 2023
- [c1]Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko:
A Framework for Autonomic Computing for In Situ Imageomics. ACSOS 2023: 11-16
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last updated on 2024-10-07 22:22 CEST by the dblp team
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