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Eemeli Leppäaho
Eemeli Leppäaho
Senior Data Scientist, IBM
Verified email at ibm.com
Title
Cited by
Cited by
Year
Group factor analysis
A Klami, S Virtanen, E Leppäaho, S Kaski
IEEE transactions on neural networks and learning systems 26 (9), 2136-2147, 2014
1392014
Sparse group factor analysis for biclustering of multiple data sources
K Bunte, E Leppäaho, I Saarinen, S Kaski
Bioinformatics 32 (16), 2457-2463, 2016
502016
Bayesian multi-tensor factorization
SA Khan, E Leppäaho, S Kaski
Machine Learning 105, 233-253, 2016
362016
GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis
E Leppäaho, M Ammad-ud-din, S Kaski
Journal of Machine Learning Research 18 (39), 1-5, 2017
292017
Discovering heritable modes of MEG spectral power
E Leppäaho, H Renvall, E Salmela, J Kere, R Salmelin, S Kaski
Human brain mapping 40 (5), 1391-1402, 2019
172019
Distributed Bayesian matrix factorization with limited communication
X Qin, P Blomstedt, E Leppäaho, P Parviainen, S Kaski
Machine Learning 108, 1805-1830, 2019
62019
Transfer Learning with Group Factor Analysis
E Leppäaho
22013
The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional …
T Mononen, J Kujala, M Liljeström, E Leppäaho, S Kaski, R Salmelin
Frontiers in Neuroscience 16, 1019572, 2022
2022
magnetoencephalography-functional magnetic resonance imaging study
T Mononen, J Kujala, M Liljeström, E Leppäaho, S Kaski, R Salmelin
2022
Bayesian Multi-View Factor Models for Drug Response and Brain Imaging Studies
E Leppäaho
Aalto University, 2018
2018
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