Wilhelmiina Hämäläinen
Senior University Lecturer
Senior University Lecturer
T313 Dept. Computer Science
Wilhelmiina Hämäläinen (PhD) is a senior university lecturer at the Department of Computer Science, Aalto University. In the past, she has worked in various research and teaching positions in the areas of computer science, biology, biomedicine and environmental science in Finnish universities. Her main research area is data mining and machine learning, including both basic research, especially on pattern discovery algorithms and statistical significance testing methods in computational data analysis, and applied research on solving challenging real world data analysis problems on biological, medical, bionformatics and educational data.
Full researcher profile
https://research.aalto.fi/...
Sähköposti
wilhelmiina.hamalainen@aalto.fi
Osaamisalueet
data mining, machine learning, algorithms, data science, 113 Computer and information sciences, Computational data analysis
Tutkimusryhmät
- Computer Science Lecturers, Senior University Lecturer
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area, Senior University Lecturer
- Computer Science - Computational Life Sciences (CSLife) - Research area, Senior University Lecturer
- Lecturer Hämäläinen Wilhelmiina group, Senior University Lecturer
Julkaisut
Clustering students’ text form feedback data: comparison of eight vector space models
Wilhelmiina Hämäläinen, Jan-Mikael Rybicki, Lauri Malmi, Alex Jung, Kerttu Pollari-Malmi
2025
ICBDE '24: Proceedings of the 2024 7th International Conference on Big Data and Education
Osteological profiling of femoral diaphysis and neck in aquatic, semiaquatic, and terrestrial carnivores and rodents : effects of body size and locomotor habits
Petteri Nieminen, Mikko A.J. Finnilä, Wilhelmiina Hämäläinen, Saara Lehtiniemi, Timo Jämsä, Juha Tuukkanen, Mervi Kunnasranta, Heikki Henttonen, Anne Mari Mustonen
2024
Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology
Why students fail to revise? Analysis of written metalinguistic feedback and cognitive effort on revision success
Jan Mikael Rybicki, Wilhelmiina Hämäläinen, Kari K. Pitkänen, Lauri Malmi
2024
Ampersand
Optimizing Feature Selection for Unbalanced Metabolomics Data with A Background Factor : A Comparative Study in Parkinson's Disease
Yinjia Zhang, Wilhelmiina Hämäläinen, Paavo Reinikka, Sanna Kaisa Herukka, Ville Leinonen, Marko Lehtonen, Šárka Lehtonen
2024
Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
The effect of written metalinguistic feedback on cognitive effort and revision success
Jan-Mikael Rybicki, Wilhelmiina Hämäläinen, Kari K. Pitkänen, Lauri Malmi
2023
Metabolomics of Synovial Fluid and Infrapatellar Fat Pad in Patients with Osteoarthritis or Rheumatoid Arthritis
Petteri Nieminen, Wilhelmiina Hämäläinen, Juha Savinainen, Marko Lehtonen, Saara Lehtiniemi, Juho Rinta-Paavola, Petri Lehenkari, Tommi Kääriäinen, Antti Joukainen, Heikki Kröger, Tommi Paakkonen, Anne Mari Mustonen
2022
Inflammation
Overexpression of VEGF-B alters cardiac lipid metabolism and predisposes to heart failure
Annakaisa Tirronen, Jenni Huusko, Marko Lehtonen, Wilhelmiina Hämäläinen, Krista Hokkanen, Seppo Auriola, Seppo Ylä-Herttuala
2022
European Heart Journal
Overexpression of VEGF-B alters cardiac lipid metabolism and predisposes to heart failure
Annakaisa Tirronen, Jenni Huusko, Marko Lehtonen, Wilhelmiina Hämäläinen, Krista Hokkanen, Seppo Auriola, Seppo Ylä-Herttuala
2021
A tutorial on statistically sound pattern discovery
Wilhelmiina Hämäläinen, Geoffrey I. Webb
2019
Data Mining and Knowledge Discovery
Clustering students' open-ended questionnaire answers
Wilhelmiina Hämäläinen, Mike Joy, Florian Berger, Sami Huttunen
2018