Emil Eirola

Helsinki Art Museum — Finland

Computer Science · Physical Sciences

13h-index699citations44works0.02yr avg
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Research Topics

Machine Learning and ELM(18), Neural Networks and Applications(15), Face and Expression Recognition(10), Domain Adaptation and Few-Shot Learning(9), Health Literacy and Information Accessibility(4)

Publications44 total

Reactive power estimation for large-scale customers using machine learning
IET conference proceedings.·2025
When is prime-time in streaming media platforms and video-on-demands services? New media consumption patterns and real-time economy
European Journal of Communication·2019· 24 cited
Extreme Learning Tree
arXiv (Cornell University)·2019Open Access
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation
arXiv (Cornell University)·2019Open Access
Comparison of Classification Methods for Very High-Dimensional Data in\n Sparse Random Projection Representation
arXiv (Cornell University)·2019Open Access
Incremental ELMVIS for unsupervised learning
arXiv (Cornell University)·2019Open Access
The aspect of time in online health information behaviour
Informaatiotutkimus·2019Open Access
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation
Proceedings in adaptation, learning and optimization·2019· 2 cited
Rhythmicity of health information behaviour
Aslib Journal of Information Management·2019· 5 cited
Rhythmicity of health information behaviour.
2019· 1 cited
Distance Estimation for Incomplete Data by Extreme Learning Machine
Proceedings in adaptation, learning and optimization·2018· 2 cited
Extreme Learning Tree
Proceedings in adaptation, learning and optimization·2018· 3 cited
ELM-SOM: A Continuous Self-Organizing Map for Visualization
2018· 9 cited
Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data
JMIR Mental Health·2018· 33 citedOpen Access
Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data (Preprint)
2017Open Access
A pragmatic android malware detection procedure
Computers & Security·2017· 41 cited
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease
2017· 5 cited
Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values
Proceedings in adaptation, learning and optimization·2017· 12 cited
Incremental ELMVIS for Unsupervised Learning
Proceedings in adaptation, learning and optimization·2017
Advanced query strategies for Active Learning with Extreme Learning Machines.
The European Symposium on Artificial Neural Networks·2017· 3 cited
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Frequent Co-authors

Amaury Lendasse(28), Yoan Miché(17), Anton Akusok(17), Kaj-Mikael Björk(11), Juha Karhunen(6), Jonas Tana(6), Andrey Gritsenko(6), Paolo Palumbo(5), Luiza Sayfullina(5), Éric Séverin(4), Francesco Corona(4), Michel Verleysen(4), Qi Yu(3), Mark van Heeswijk(3), Dmitry Komashinsky(3), Olli Simula(3), Laura Kainulainen(3), Hans J. Johnson(3), Kristina Eriksson‐Backa(3), Dušan Sovilj(2)