E-LIB Suche - Ergebnisse für: Kocev, Dragi

1

In-Domain Self-Supervised Learning Improves Remote Sensing ..:

Dimitrovski, Ivica ; Kitanovski, Ivan ; Simidjievski, Nikola.
IEEE Geoscience and Remote Sensing Letters. 21 (2024) - p. 1-5 , 2024

Link: https://doi.org/10.1109/..

2

Semi-Supervised Predictive Clustering Trees for (Hierarchic..:

Levatić, Jurica ; Ceci, Michelangelo ; Kocev, Dragi..
International Journal of Intelligent Systems. 2024 (2024) - p. 1-21 , 2024

Link: https://doi.org/10.1155/..

3

CLUSplus: A decision tree-based framework for predicting st..:

Petković, Matej ; Levatić, Jurica ; Kocev, Dragi..
SoftwareX. 24 (2023) - p. 101526 , 2023

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

4

Current trends in deep learning for Earth Observation: An o..:

Dimitrovski, Ivica ; Kitanovski, Ivan ; Kocev, Dragi.
ISPRS Journal of Photogrammetry and Remote Sensing. 197 (2023) - p. 18-35 , 2023

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

5

Data stream mining for predicting the thermal power consump..:

Stevanoski, Bozhidar ; Kocev, Dragi ; Osojnik, Aljaž..
Acta Astronautica. 210 (2023) - p. 411-427 , 2023

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

6

AiTLAS: Artificial Intelligence Toolbox for Earth Observati..:

Dimitrovski, Ivica ; Kitanovski, Ivan ; Panov, Panče...
Remote Sensing. 15 (2023) 9 - p. 2343 , 2023

Link: https://doi.org/10.3390/..

7

Deep Network Architectures as Feature Extractors for Multi-..:

Stoimchev, Marjan ; Kocev, Dragi ; Džeroski, Sašo
Remote Sensing. 15 (2023) 2 - p. 538 , 2023

Link: https://doi.org/10.3390/..

8

Machine learning for effective spacecraft operation: Operat..:

Stepišnik, Tomaž ; Finn, Timothy ; Simidjievski, Nikola...
Advances in Space Research. 69 (2022) 11 - p. 3909-3920 , 2022

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

9

Feature ranking for semi-supervised learning:

Petković, Matej ; Džeroski, Sašo ; Kocev, Dragi
Machine Learning. 112 (2022) 11 - p. 4379-4408 , 2022

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

10

Comprehensive comparative study of multi-label classificati..:

Bogatinovski, Jasmin ; Todorovski, Ljupčo ; Džeroski, Sašo.
Expert Systems with Applications. 203 (2022) - p. 117215 , 2022

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

11

Explaining the performance of multilabel classification met..:

Bogatinovski, Jasmin ; Todorovski, Ljupčo ; Džeroski, Sašo.
International Journal of Intelligent Systems. 37 (2022) 9 - p. 6080-6122 , 2022

Link: https://doi.org/10.1002/..

12

A catalogue with semantic annotations makes multilabel data..:

Kostovska, Ana ; Bogatinovski, Jasmin ; Džeroski, Sašo..
Scientific Reports. 12 (2022) 1 - p. , 2022

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

13

Explainable Model-specific Algorithm Selection for Multi-La..:

, In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI),

Kostovska, Ana ; Doerr, Carola ; Dzeroski, Saso... - p. 39-46 , 2022

Link: https://doi.org/10.1109/..

14

Machine-learning ready data on the thermal power consumptio..:

Petković, Matej ; Lucas, Luke ; Levatić, Jurica...
Scientific Data. 9 (2022) 1 - p. , 2022

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

15

Crop Type Prediction Across Countries and Years: Slovenia, ..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Merdjanovska, Elena ; Kitanovski, Ivan ; Kokalj, Ziga.. - p. 5945-5948 , 2022

Link: https://doi.org/10.1109/..