E-LIB Suche - Ergebnisse für: Mechenich, Michael

1

Backward Inference in Probabilistic Regressor Chains with D..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,

Antonenko, Ekaterina ; Mechenich, Michael ; Beigaitė, Rita.. - p. 43-55 , 2024

Link: https://doi.org/10.1007/..

2

Spatial Cross-Validation for Globally Distributed Data:

, In: Discovery Science; Lecture Notes in Computer Science,

Beigaitė, Rita ; Mechenich, Michael ; Žliobaitė, Indrė - p. 127-140 , 2022

Link: https://doi.org/10.1007/..

3

Herbivore teeth predict climatic limits in Kenyan ecosystem:

Žliobaitė, Indrė ; Rinne, Janne ; Tóth, Anikó B....
Proceedings of the National Academy of Sciences of the United States of America. 113 (2016) 45 - p. 12751-12756 , 2016

Link: https://www.jstor.org/st..

4

Herbivore teeth predict climatic limits in Kenyan ecosystem:

Žliobaitė, Indrė ; Rinne, Janne ; Tóth, Anikó B....
Proceedings of the National Academy of Sciences. 113 (2016) 45 - p. 12751-12756 , 2016

Link: https://doi.org/10.1073/..

5

Predicting habitat suitability for Asian elephants in non-a..:

Noda, Ryoko ; Mechenich, Michael Francis ; Saarinen, Juha..
Ecological Informatics. 82 (2024) - p. 102658 , 2024

Link: https://doi.org/10.1016/..

6

Eco-ISEA3H, a machine learning ready spatial database for e..:

Mechenich, Michael F. ; Žliobaitė, Indrė
Scientific Data. 10 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

7

Herbivore teeth predict climatic limits in Kenyan ecosystem:

Zliobaite, Indre ; Rinne, Janne ; Tóth, Anikó B...
10.1073/pnas.1609409113. , 2017

Link: http://hdl.handle.net/10..

8

Herbivore teeth predict climatic limits in Kenyan ecosystem:

Žliobaitė, Indrė ; Rinne, Janne ; Tóth, Anikó B...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111722/. , 2016

Link: http://www.ncbi.nlm.nih...

9

Herbivore teeth predict climatic limits in Kenyan ecosystem:

Žliobaitė, Indrė ; Rinne, Janne ; Tóth, Anikó...
Proceedings of the National Academy of Science of the United States of America, 1091-6490, 2016, 113, s. 12751-12756. , 2016

Link: http://urn.kb.se/resolve..

10

Eco-ISEA3H, a machine learning ready spatial database for e..:

Mechenich, Michael F ; Žliobaitė, Indrė
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905527/. , 2023

Link: http://www.ncbi.nlm.nih...

11

Spatial Cross-Validation for Globally Distributed Data:

Beigaitė, Rita ; Zliobaite, Indre ; Mechenich, Michael Francis
10.1007/978-3-031-18840-4_10. , 2023

Link: http://hdl.handle.net/10..

12

Eco-ISEA3H, a machine learning ready spatial database for e..:

Mechenich, Michael Francis ; Zliobaite, Indre
10.1038/s41597-023-01966-x. , 2023

Link: http://hdl.handle.net/10..

13

Eco-ISEA3H, a machine learning ready spatial database for e..:

Michael F. Mechenich ; Indrė Žliobaitė
https://doi.org/10.1038/s41597-023-01966-x. , 2023

Link: https://doi.org/10.1038/..