E-LIB Suche - Ergebnisse für: Hämäläinen, Joonas

1

Feature selection for distance-based regression: An umbrell..:

Linja, Joakim ; Hämäläinen, Joonas ; Nieminen, Paavo.
Neurocomputing. 518 (2023) - p. 344-359 , 2023

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

2

Enhanced activity of hyperthermostable Pyrococcus horikoshi..:

Hebal, Hakim ; Hämäläinen, Joonas ; Makkonen, Laura...
Biotechnology Letters. 44 (2022) 8 - p. 961-974 , 2022

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

3

Newton Method for Minimal Learning Machine:

, In: Intelligent Systems, Control and Automation: Science and Engineering; Computational Sciences and Artificial Intelligence in Industry,

Hämäläinen, Joonas ; Kärkkäinen, Tommi - p. 97-108 , 2021

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

4

Improving Scalable K-Means++:

Hämäläinen, Joonas ; Kärkkäinen, Tommi ; Rossi, Tuomo
Algorithms. 14 (2020) 1 - p. 6 , 2020

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

5

Monte Carlo Simulations of Au38(SCH3)24 Nanocluster Using D..:

Pihlajamäki, Antti ; Hämäläinen, Joonas ; Linja, Joakim...
The Journal of Physical Chemistry A. 124 (2020) 23 - p. 4827-4836 , 2020

Link: https://doi.org/10.1021/..

6

Do Randomized Algorithms Improve the Efficiency of Minimal ..:

Linja, Joakim ; Hämäläinen, Joonas ; Nieminen, Paavo.
Machine Learning and Knowledge Extraction. 2 (2020) 4 - p. 533-557 , 2020

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

7

A method for structure prediction of metal-ligand interface..:

Malola, Sami ; Nieminen, Paavo ; Pihlajamäki, Antti...
Nature Communications. 10 (2019) 1 - p. , 2019

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

8

Comparison of Internal Clustering Validation Indices for Pr..:

Hämäläinen, Joonas ; Jauhiainen, Susanne ; Kärkkäinen, Tommi
Algorithms. 10 (2017) 3 - p. 105 , 2017

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

9

Effect of enzymatic high temperature prehydrolysis on the s..:

Hämäläinen, Joonas ; Granström, Tom ; Mollerup, Filip...
Journal of Chemical Technology & Biotechnology. 91 (2015) 6 - p. 1844-1852 , 2015

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

10

Mapping the Challenges of HCI: An Application and Evaluatio..:

Oppenlaender, Jonas ; Hämäläinen, Joonas
http://arxiv.org/abs/2306.05036. , 2023

Link: http://arxiv.org/abs/230..

11

Feature selection for distance-based regression : An umbrel..:

Linja, Joakim ; Hämäläinen, Joonas ; Nieminen, Paavo.
Neurocomputing. , 2023

Link: http://urn.fi/URN:NBN:fi..

12

Minimal Learning Machine for Multi-Label Learning:

Hämäläinen, Joonas ; Souza, Amauri ; Mattos, César L. C..
http://arxiv.org/abs/2305.05518. , 2023

Link: http://arxiv.org/abs/230..

13

Knowledge Discovery from Atomic Structures using Feature Im..:

Linja, Joakim ; Hämäläinen, Joonas ; Pihlajamäki, Antti...
http://arxiv.org/abs/2303.09453. , 2023

Link: http://arxiv.org/abs/230..

14

Enhanced activity of hyperthermostable Pyrococcus horikoshi..:

Hebal, Hakim ; Hamalainen, Joonas ; Makkonen, Laura...
10.1007/s10529-022-03268-5. , 2022

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

15

Enhanced activity of hyperthermostable Pyrococcus horikoshi..:

Hebal, Hakim ; Hämäläinen, Joonas ; Makkonen, Laura...
Biotechnology Letters. , 2022

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