Indrė Žliobaitė

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 11

Top Topics

Cone Beam Computed Tomography

Machine Learning

Top Venues

Scientific data

Proceedings of the National Academy of Sciences of the United States of America

Evolutionary anthropology

Ecology and evolution

This page only lists publications with an associated author ORCID identifier.

Publications

Michael F Mechenich, Indrė Žliobaitė
Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling. Scientific data 10 (1) (2023)
Aura Raulo, Alexis Rojas, Björn Kröger, Antti Laaksonen, Carlos Lamuela Orta, Silva Nurmio, Mirva Peltoniemi, Leo Lahti, Indrė Žliobaitė
What are patterns of rise and decline? Royal Society open science 10 (11) (2023)
Michael F Mechenich, Indrė Žliobaitė
Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling. Scientific data 10 (1) (2023)
Tegan I F Foister, Indrė Žliobaitė, Oscar E Wilson, Mikael Fortelius, Miikka Tallavaara
Homo heterogenus: Variability in early Pleistocene Homo environments. Evolutionary anthropology (2023)
Michael F Mechenich, Indrė Žliobaitė
Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling. Scientific data 10 (1) (2023)
Michael F Mechenich, Indrė Žliobaitė
Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling. Scientific data 10 (1) (2023)
Liping Liu, Esther Galbrun, Hui Tang, Anu Kaakinen, Zhongshi Zhang, Zijian Zhang, Indrė Žliobaitė
The emergence of modern zoogeographic regions in Asia examined through climate-dental trait association patterns. Nature communications 14 (1) (2023)
Jaakko Toivonen, Mikael Fortelius, Indrė Žliobaitė
Do species factories exist? Detecting exceptional patterns of evolution in the mammalian fossil record. Proceedings. Biological sciences 289 (1972) (2022)
Rita Beigaitė, Hui Tang, Anders Bryn, Olav Skarpaas, Frode Stordal, Jarle W Bjerke, Indrė Žliobaitė
Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes. Global change biology 28 (11) (2022)
Larisa R G DeSantis, Mikael Fortelius, Frederick E Grine, Christine M Janis, Thomas M Kaiser, Géraldine Garcia, Mark A Purnell, Ellen Schulz-Kornas, Juha Saarinen, Mark F Teaford, Peter S Ungar, Indrė Žliobaitė
The phylogenetic signal in tooth wear: What does it mean? Ecology and evolution 8 (22) (2018)
Indrė Žliobaitė, Janne Rinne, Anikó B Tóth, Michael Mechenich, Liping Liu, Anna K Behrensmeyer, Mikael Fortelius
Herbivore teeth predict climatic limits in Kenyan ecosystems. Proceedings of the National Academy of Sciences of the United States of America 113 (45) (2016)