基本信息
浏览量:21
职业迁徙
个人简介
My research interests are primarily within the area of machine learning, i.e., artificial systems that learn from experience. Research in this area may be found under several different headings, including data science, data mining, knowledge discovery, big data analytics, predictive modeling and intelligent data analysis. My research focus is on ensemble learning and interpretable models, including decision trees and rules.
I am editor of the journal Machine Learning and at the editorial boards of Journal of Machine Learning Research and Intelligent Data Analysis.
I am project leader of High-performance data mining for drug effect detection, a 19 MSEK project funded by the Swedish Foundation for Strategic Research during 2012-2016. See press release (in Swedish). I am also at the management board of the project Integrated Dynamic Prognostic Maintenance Support (IRIS), lead by Scania AB, and supported by 11.6 MSEK from Swedish Governmental Agency for Innovation Systems (VINNOVA) during 2012-2017.
I organized a national workshop on data science on Dec. 4 and 5, 2014 – see the program here as well as an interview on this event in ComputerSweden here (in Swedish). An earlier interview on the event can be found here (there is also a Swedish version here) as well as a previous interview on data science here (in Swedish here).
I am or have recently been at the following program committees:
KDD 2015
ECML/PKDD 2015 – area chair
IDA 2015
KDD 2014
ECML/PKDD 2014 – area chair
IDA 2014
DS 2013
IDA 2013
ECML/PKDD 2013 – area chair
AAAI 2013
DS 2012
IDA 2012
ECML/PKDD 2012
ECAI 2012
Fusion 2012
KDD 2011
ICML 2011
AAAI 2011
IDA 2011
DS 2011
KDD 2010
ICML 2010 – area chair for rule and decision tree learning
ECML/PKDD 2010
KDD 2009
ICML 2009
ECML/PKDD 2009
Fusion 2009
HAIS 2009
ICML 2008
ECML/PKDD ’08
研究兴趣
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CoRR (2023): 450-469
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Data Mining and Knowledge Discoveryno. 5 (2016): 1053-1085
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