E-LIB Suche - Ergebnisse für: Zhu, X.X.

1

MDAS: a new multimodal benchmark dataset for remote sensing:

J. Hu ; R. Liu ; D. Hong...
https://essd.copernicus.org/articles/15/113/2023/essd-15-113-2023.pdf. , 2023

Link: https://doi.org/10.5194/..

2

Gene-educational attainment interactions in a multi-populat..:

de las Fuentes, L ; Schwander, KL ; Brown, MR...
Frontiers in Genetics. , 2023

Link: https://qmro.qmul.ac.uk/..

3

A PRELIMINARY COMPARISON OF TWO EXCLUSION MAPS FOR LARGE-SC..:

Zhao, J ; Roth, F ; Bauer-Marschallinger, B...
doi:10.5194/isprs-annals-X-1-W1-2023-911-2023. , 2023

Link: https://doi.org/10.5194/..

4

TOWARDS LARGE-SCALE BUILDING ATTRIBUTE MAPPING USING CROWDS..:

Y. Sun ; A. Kruspe ; L. Meng...
https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/225/2023/isprs-archives-XLVIII-1-W2-2023-225-2023.pdf. , 2023

Link: https://doi.org/10.5194/..

5

A PRELIMINARY COMPARISON OF TWO EXCLUSION MAPS FOR LARGE-SC..:

J. Zhao ; F. Roth ; B. Bauer-Marschallinger...
https://isprs-annals.copernicus.org/articles/X-1-W1-2023/911/2023/isprs-annals-X-1-W1-2023-911-2023.pdf. , 2023

Link: https://doi.org/10.5194/..

6

Detecting Changes by Learning No Changes: Data-enclosing-ba..:

Mou L ; Hua Y ; Saha S...
info:eu-repo/semantics/altIdentifier/wos/WOS:000856251200013. , 2022

Link: http://hdl.handle.net/11..

7

LANDSCAPE OF NEURAL ARCHITECTURE SEARCH ACROSS SENSORS: HOW..:

K. R. Traoré ; A. Camero ; X. X. Zhu
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/217/2022/isprs-annals-V-3-2022-217-2022.pdf. , 2022

Link: https://doi.org/10.5194/..

8

Synthesis, Characterization, and Swelling Properties of a N..:

Bachra, Yahya ; Grouli, Ayoub ; Damiri, Fouad...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631763/. , 2022

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

9

GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION:

S. Zhao ; S. Saha ; X. X. Zhu
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/1407/2022/isprs-archives-XLIII-B3-2022-1407-2022.pdf. , 2022

Link: https://doi.org/10.5194/..

10

Deep Reinforcement Learning for Band Selection in Hyperspec..:

Mou L ; Saha S ; Hua Y...
info:eu-repo/semantics/altIdentifier/wos/WOS:000730619400031. , 2022

Link: http://hdl.handle.net/11..

11

Bistatic ISAR sparse aperture maneuvering target translatio..:

H. S. Zhu ; W. H. Hu ; B. F. Guo...
https://www.radioeng.cz/fulltexts/2022/22_03_0262_0272.pdf. , 2022

Link: https://doaj.org/article..

12

FINE-TUNING CNNS FOR DECREASED SENSITIVITY TO NON-VOLCANIC ..:

Beker, T ; Ansari, H ; Montazeri, S..
doi:10.5194/isprs-annals-V-3-2022-85-2022. , 2022

Link: https://doi.org/10.5194/..

13

FINE-TUNING CNNS FOR DECREASED SENSITIVITY TO NON-VOLCANIC ..:

T. Beker ; H. Ansari ; S. Montazeri..
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/85/2022/isprs-annals-V-3-2022-85-2022.pdf. , 2022

Link: https://doi.org/10.5194/..

14

FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE..:

S. Saha ; J. Gawlikowski ; X. X. Zhu
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/423/2022/isprs-archives-XLIII-B3-2022-423-2022.pdf. , 2022

Link: https://doi.org/10.5194/..

15

Data Science Symposium No. 7 - Book of Abstracts:

Baldewein, Linda ; Wichert, Viktoria ; Bumberger, Jan...
doi:10.5281/zenodo.7350280. , 2022

Link: https://zenodo.org/recor..