E-LIB Suche - Ergebnisse für: Klami, Arto

1

Quantifying uncertainty of uplift: Trees and T-learners:

Nyberg, Otto ; Klami, Arto
Neurocomputing. 590 (2024) - p. 127741 , 2024

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

2

Wireless and battery-operatable IoT platform for cost-effec..:

Korsimaa, Julius ; Weber, Martin ; Salminen, Petteri...
Scientific Reports. 14 (2024) 1 - p. , 2024

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

3

PreliZ: A tool-box for prior elicitation:

Icazatti, Alejandro ; Abril-Pla, Oriol ; Klami, Arto.
Journal of Open Source Software. 8 (2023) 89 - p. 5499 , 2023

Link: https://doi.org/10.21105..

4

Exploring uplift modeling with high class imbalance:

Nyberg, Otto ; Klami, Arto
Data Mining and Knowledge Discovery. 37 (2023) 2 - p. 736-766 , 2023

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

5

Tropical altitudinal gradient soil organic carbon and nitro..:

Pellikka, Petri ; Luotamo, Markku ; Sädekoski, Niklas...
Science of The Total Environment. 883 (2023) - p. 163677 , 2023

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

6

Neural network for determining an asteroid mineral composit..:

Korda, David ; Penttilä, Antti ; Klami, Arto.
Astronomy & Astrophysics. 669 (2023) - p. A101 , 2023

Link: https://doi.org/10.1051/..

7

Unsupervised Fouling Reconstruction in the Pipe Bend:

, In: 2023 IEEE International Ultrasonics Symposium (IUS),

Iablonskyi, Denys ; Rasgado-Moreno, Carlos-Omar ; Ratassepp, Madis... - p. 1-3 , 2023

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

8

Extending Interpolation Consistency Training for Unsupervis..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),

Gharib, Shayan ; Klami, Arto - p. 1-8 , 2023

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

9

Reconstruction of Fouling Distribution from Aggregate Obser..:

, In: 2022 IEEE International Ultrasonics Symposium (IUS),

Iablonskyi, Denys ; Wei, Haoyu ; Klami, Arto.. - p. 1-4 , 2022

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

10

Affordable and Wireless Transducer Network to Detect Foulin..:

, In: 2022 IEEE International Ultrasonics Symposium (IUS),

Salminen, Petteri ; Korsimaa, Julius ; Ihalainen, Peetu... - p. 1-4 , 2022

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

11

Scalable Crop Yield Prediction with Sentinel-2 Time Series ..:

Yli-Heikkilä, Maria ; Wittke, Samantha ; Luotamo, Markku...
Remote Sensing. 14 (2022) 17 - p. 4193 , 2022

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

12

Tailored Acoustic Holograms with Phased Arrays:

, In: 2022 IEEE International Ultrasonics Symposium (IUS),

Iablonskyi, Denys ; Sundblad, Felix ; Wuensch, Bruno... - p. 1-3 , 2022

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

13

How Suitable Is Your Naturalistic Dataset for Theory-based ..:

, In: Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization,

Putkonen, Aini ; Nioche, Aurélien ; Tanskanen, Ville.. - p. 179-190 , 2022

Link: https://dl.acm.org/doi/1..

14

FEM Simulations of the Effects of Fouling Deposits on Laser..:

, In: 2022 IEEE International Ultrasonics Symposium (IUS),

Suorsa, Joonas ; Mustonen, Joonas ; Iablonskyi, Denys... - p. 1-3 , 2022

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

15

Density Estimates as Representations of Agricultural Fields..:

Luotamo, Markku ; Yli-Heikkilä, Maria ; Klami, Arto
Applied Sciences. 12 (2022) 2 - p. 679 , 2022

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