Wilhelmiina Hämäläinen

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/...

Areas of expertise

data mining, machine learning, algorithms, data science, 113 Computer and information sciences, Computational data analysis

Research groups

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

Publications

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

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

Can stealing cows distort the results of feeding trials? An experiment for quantification and prevention of stealing feed by dairy cows from roughage intake control feeders

Salla Ruuska, Wilhelmiina Hämäläinen, Auvo Sairanen, Elina Juutinen, Leena Tuomisto, Mikko Järvinen, Jaakko Mononen 2014 APPLIED ANIMAL BEHAVIOUR SCIENCE

Thorough analysis of log data with dependency rules: Practical solutions and theoretical challenges

Wilhelmiina Hämäläinen 2012 Proceedings of 12th IEEE International Conference on Data Mining Workshops

Jerk-based Feature Extraction for Robust Activity Recognition from Acceleration Data

Wilhelmiina Hämäläinen, Mikko Järvinen, Paula Martiskainen, Jaakko Mononen 2011 Proceedings of the 11th International Conference on Intelligent Systems Design and Applications