E-LIB Suche - Ergebnisse für: Siivola, Eero

1

Uncertainty in Environmental Micropollutant Modeling:

Ahkola, Heidi ; Kotamäki, Niina ; Siivola, Eero...
Environmental Management. 74 (2024) 2 - p. 380-398 , 2024

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

2

Virtual Reality Childbirth Education With 360° Videos:

Siivola, Marjaana ; Tiainen, Eero ; Ekholm, Eeva..
Journal of Perinatal Education. , 2023

Link: https://aaltodoc.aalto.f..

3

Handbook for a Data-Driven Circular Economy in Finland:Data..:

Berg, Annukka ; Dahlbo, Helena ; Eilu, Pasi...
Kauppila , T (ed.) , Berg , A , Dahlbo , H , Eilu , P , Heikkilä , P , Hentunen , A , Hilska-Keinänen , K , Horn , S , Ilvesniemi , H , Jenu , S , Karhu , M , Karppinen , T K M , Kauppi , S , Kivikytö-Reponen , P , Lavikko , S , Lehtonen , E , Luostarinen , S , Majaniemi , S , Malmi , P , Naumanen , M , Ovaska , J-P , Pesonen , L , Pesu , J , Pitkänen , H , Pokki , J , Räisänen , M , Salminen , J , Sapon , S , Siivola , E , Sorvari , J , Tanner , H , Tuovila , H , Uusitalo , T & Valtanen , K 2022 , Handbook for a Data-Driven Circular Economy in Finland : Data Sources, Tools, and Governance for Circular Design . VTT Technology , no. 401 , VTT Technical Research Centre of Finland . https://doi.org/10.32040/2242-122X.2022.T401. , 2022

Link: https://cris.vtt.fi/en/p..

4

Preferential Batch Bayesian Optimization:

, In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP),

Siivola, Eero ; Dhaka, Akash Kumar ; Andersen, Michael Riis... - p. 1-6 , 2021

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

5

Qualifying drug dosing regimens in pediatrics using Gaussia..:

Siivola, Eero ; Weber, Sebastian ; Vehtari, Aki
Statistics in Medicine. 40 (2021) 10 - p. 2355-2372 , 2021

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

6

Good practices for Bayesian optimization of high dimensiona..:

Siivola, Eero ; Paleyes, Andrei ; González, Javier.
Applied AI Letters. 2 (2021) 2 - p. , 2021

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

7

Qualifying drug dosing regimens in pediatrics using Gaussia..:

Siivola, Eero ; Weber, Sebastian ; Vehtari, Aki
STATISTICS IN MEDICINE. , 2021

Link: https://aaltodoc.aalto.f..

8

VictoriaLyu/gpstuff: Evaluating Gaussian Process Metamodels..:

Aki Vehtari ; Jarno Vanhatalo ; T. Sivula...
https://github.com/VictoriaLyu/gpstuff/tree/STCOSource. , 2021

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

9

Good practices for Bayesian optimization of high dimensiona..:

Siivola, Eero ; Paleyes, Andrei ; González, Javier.
Applied AI Letters. , 2021

Link: https://aaltodoc.aalto.f..

10

Good practices for Bayesian optimization of high dimensiona..:

Eero Siivola ; Andrei Paleyes ; Javier González.
https://doi.org/10.1002/ail2.24. , 2021

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

11

Correcting Boundary Over-Exploration Deficiencies In Bayesi..:

Siivola, Eero ; Vehtari, Aki ; Vanhatalo, Jarno..
10.1109/MLSP.2018.8516936. , 2020

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

12

Preferential Batch Bayesian Optimization:

Siivola, Eero ; Dhaka, Akash Kumar ; Andersen, Michael Riis...
http://arxiv.org/abs/2003.11435. , 2020

Link: http://arxiv.org/abs/200..

13

Good practices for Bayesian Optimization of high dimensiona..:

Siivola, Eero ; Gonzalez, Javier ; Paleyes, Andrei.
http://arxiv.org/abs/2012.15471. , 2020

Link: http://arxiv.org/abs/201..

14

Active Learning for Decision-Making from Imbalanced Observa..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
http://arxiv.org/abs/1904.05268. , 2019

Link: http://arxiv.org/abs/190..

15

Active Learning for Decision-Making from Imbalanced Observa..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
International Conference on Machine Learning. , 2019

Link: https://aaltodoc.aalto.f..