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/...

Yhteystiedot

Sähköposti
[email protected]

Osaamisalueet

, 113 Tietojenkäsittely ja informaatiotieteet, Laskennallinen data-analyysi

Tutkimusryhmät

  • Computer Science Lecturers, Vanhempi yliopistonlehtori
  • Computer Science - Artificial Intelligence and Machine Learning (AIML), Vanhempi yliopistonlehtori
  • Computer Science - Computational Life Sciences (CSLife), Vanhempi yliopistonlehtori
  • Lecturer Hämäläinen Wilhelmiina group, Vanhempi yliopistonlehtori

Julkaisut

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

Evaluation of the confusion matrix method in the validation of an automated system for measuring feeding behaviour of cattle

Salla Ruuska, Wilhelmiina Hämäläinen, Sari Kajava, Mikaela Mughal, Pekka Matilainen, Jaakko Mononen 2018 Behavioural Processes

Specious rules

Wilhelmiina Hämäläinen, Geoffrey I. Webb 2017 Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017

Measuring behaviour accurately with instantaneous sampling: A new tool for selecting appropriate sampling intervals

Wilhelmiina Hämäläinen, Salla Ruuska, Tuomo Kokkonen, Sanna Orkola, Jaakko Mononen 2016 Applied Animal Behaviour Science

New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining

Wilhelmiina Hämäläinen 2016 Computational Statistics & Data Analysis