Here you find information about the research conducted by the university’s 65 professors, 173 senior lecturers, 170 lecturers, and 88 doctoral students (Mars 2019).
Department of Information Technology
Room number: L440
I am a lecturer in Computer Science. My research field is machine learning and data mining. My research have been focused on ensembles and predicting with confidence. I have been an employee of the University of Borås since 2003.
I am currently involved in three research projects financed by the Swedish Foundation for Strategic Research, the Knowledge Foundation, and EU.
The name of my thesis is: On Effectively Creating Ensembles of Classifiers - Studies on Creation Strategies, Diversity and Predicting with Confidence
All my publications can be found at my Google Scholar page.
Best Master Thesis in Informatics 2004.
Johansson, U., Löfström, T., Sundell, H., Linnusson, H., Gidenstam, A. and Boström, H. (2018). Venn predictors for well-calibrated probability estimation trees. , pp. 3-14.
Sundell, H., Löfström, T. and Johansson, U. (2018). Explorative multi-objective optimization of marketing campaigns for the fashion retail industry. , pp. 1551-1558.
Löfström, T., Johansson, U., Balkow, J. and Sundell, H. (2018). A data-driven approach to online fitting services. , pp. 1559-1566.
Researcher's publications in DiVA (Digitala Vetenskapliga Arkivet)
Data-Driven Innovation: Algorithms, Platforms and Ecosystems
Start date: 10/1/2016 - End date: 9/30/2020
Financier: The Knowledge Foundation
Data-driven service development: advanced training for professionals
Start date: 5/1/2018 - End date: 4/30/2020
Big Data Analytics by Online Ensemble Learning (BOEL)
Start date: 1/15/2013 - End date: 5/15/2016
High-Performance Data Mining for Drug Effect Detection (DADEL)
Start date: 1/15/2012 - End date: 5/30/2016
Financier: Swedish Foundation for Strategic Research
Business and IT
With a strong regional anchoring and bas...
SIIR - Swedish Institute for Innovative Retailing
The Swedish Institute for Innovative Ret...