Henrik Boström
Henrik Boström
Professor of computer science - data science systems, KTH Royal Institute of Technology
Verifierad e-postadress på kth.se
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On the definition of information fusion as a field of research
H Boström, SF Andler, M Brohede, R Johansson, A Karlsson, J Van Laere, ...
Institutionen för kommunikation och information, 2007
Generalized random shapelet forests
I Karlsson, P Papapetrou, H Boström
Data mining and knowledge discovery 30, 1053-1085, 2016
Regression conformal prediction with random forests
U Johansson, H Boström, T Löfström, H Linusson
Machine learning 97, 155-176, 2014
A peek into the black box: exploring classifiers by randomization
A Henelius, K Puolamäki, H Boström, L Asker, P Papapetrou
Data mining and knowledge discovery 28, 1503-1529, 2014
Improving structure-based virtual screening by multivariate analysis of scoring data
M Jacobsson, P Lidén, E Stjernschantz, H Boström, U Norinder
Journal of medicinal chemistry 46 (26), 5781-5789, 2003
Automatic keyword extraction using domain knowledge
A Hulth, J Karlgren, A Jonsson, H Boström, L Asker
Computational Linguistics and Intelligent Text Processing: Second …, 2001
Reducing high-dimensional data by principal component analysis vs. random projection for nearest neighbor classification
S Deegalla, H Bostrom
2006 5th International Conference on Machine Learning and Applications …, 2006
Learning from heterogeneous temporal data in electronic health records
J Zhao, P Papapetrou, L Asker, H Boström
Journal of biomedical informatics 65, 105-119, 2017
Trade-off between accuracy and interpretability for predictive in silico modeling
U Johansson, C Sönströd, U Norinder, H Boström
Future medicinal chemistry 3 (6), 647-663, 2011
Predictive modeling of structured electronic health records for adverse drug event detection
J Zhao, A Henriksson, L Asker, H Boström
BMC medical informatics and decision making 15, 1-15, 2015
Boosting interval based literals
JJ Rodríguez, CJ Alonso, H Boström
Intelligent Data Analysis 5 (3), 245-262, 2001
Estimating class probabilities in random forests
H Bostrom
Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007
Calibrating random forests
H Boström
2008 Seventh International Conference on Machine Learning and Applications …, 2008
On the calibration of aggregated conformal predictors
H Linusson, U Norinder, H Boström, U Johansson, T Löfström
Conformal and probabilistic prediction and applications, 154-173, 2017
Classification of microarrays with knn: comparison of dimensionality reduction methods
S Deegalla, H Boström
Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007
Conformal prediction using decision trees
U Johansson, H Boström, T Löfström
2013 IEEE 13th international conference on data mining, 330-339, 2013
Accelerating difficulty estimation for conformal regression forests
H Boström, H Linusson, T Löfström, U Johansson
Annals of Mathematics and Artificial Intelligence 81, 125-144, 2017
Covering vs. divide-and-conquer for top-down induction of logic programs
H Boström
IJCAI, 1194-1200, 1995
Integration of data mining and multi-objective optimisation for decision support in production systems development
C Dudas, AHC Ng, L Pehrsson, H Boström
International Journal of Computer Integrated Manufacturing 27 (9), 824-839, 2014
Learning first order logic time series classifiers: Rules and boosting
JJ Rodríguez, CJ Alonso, H Boström
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
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Artiklar 1–20