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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

Multi-output regression with structurally incomplete target..:

Beigaitė, Rita ; Read, Jesse ; Žliobaitė, Indrė
Ecological Informatics. 72 (2022) - p. 101849 , 2022

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

3

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/..

4

Identifying climate thresholds for dominant natural vegetat..:

Beigaitė, Rita ; Tang, Hui ; Bryn, Anders...
Global Change Biology. 28 (2022) 11 - p. 3557-3579 , 2022

Link: https://doi.org/10.1111/..

5

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..

6

Identifying climate thresholds for dominant natural vegetat..:

Beigaite, Rita ; Tang, Hui ; Bryn, Anders...
10.1111/gcb.16110. , 2022

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

7

Identifying climate thresholds for dominant natural vegetat..:

Beigaitė, Rita ; Tang, Hui ; Bryn, Anders...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302987/. , 2022

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

8

Multi-output regression with structurally incomplete target..:

Beigaitė, Rita ; Read, Jesse ; Žliobaitė, Indrė
10.1016/j.ecoinf.2022.101849. , 2022

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

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