Henrik Boström

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Citations	3633	2005
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Ulf JohanssonProfessor of Computer Science, Jönköping UniversityVerified email at ju.se
Tuwe LöfströmDepartment of Computing, Jönköping School of Engineering, Jönköping UniversityVerified email at ju.se
Lars AskerAssociate Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Henrik LinussonUniversity of BoråsVerified email at hb.se
Panagiotis PapapetrouProfessor, Stockholm University, SwedenVerified email at dsv.su.se
Ulf NorinderDepartment of Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Jing ZhaoAssistant Professor of Finance, North Carolina State UniversityVerified email at ncsu.edu
Cecilia SönströdJönköping UniversityVerified email at ju.se
Aron HenrikssonAssociate Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Tony LindgrenDepartment of Computer and System SciencesVerified email at dsv.su.se
Sampath DeegallaSenior Lecturer, Dept. of Computer Engineering, University of PeradeniyaVerified email at pdn.ac.lk
Thashmee KarunaratneStockholm UniversityVerified email at dsv.su.se
Amos H.C. NgProfessor of Production and Automation at University of Skövde; Visiting Professor of Automation, Optimization and Simulation at Uppsala University.Verified email at his.se
Ronnie JohanssonSenior researcher, Swedish defense research agency (FOI)Verified email at foi.se
Carlos J. Alonso GonzálezProfesor Titular de Universidad, Universidad de ValaldolidVerified email at infor.uva.es
Hercules DalianisProfessor in Computer and Systems Science, Stockholm University, SwedenVerified email at dsv.su.se
Alexander KarlssonAssociate Professor, University of SkövdeVerified email at his.se
Kai PuolamäkiAssociate Professor, University of Helsinki, FinlandVerified email at helsinki.fi
Andreas HeneliusOP Financial GroupVerified email at op.fi
Lars CarlssonRTHS and CRML, University of LondonVerified email at rhul.ac.uk

Henrik Boström

Professor of computer science - data science systems, KTH Royal Institute of Technology

Verified email at kth.se

data science machine learning data mining


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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	189	2007
Generalized random shapelet forests I Karlsson, P Papapetrou, H Boström Data mining and knowledge discovery 30, 1053-1085, 2016	165	2016
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	155	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	152	2003
Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014	145	2014
Automatic keyword extraction using domain knowledge A Hulth, J Karlgren, A Jonsson, H Boström, L Asker Computational Linguistics and Intelligent Text Processing: Second …, 2001	144	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	134	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	102	2017
Boosting interval based literals JJ Rodríguez, CJ Alonso, H Boström Intelligent Data Analysis 5 (3), 245-262, 2001	82	2001
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	81	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 (4), 1-15, 2015	77	2015
Estimating class probabilities in random forests H Bostrom Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007	74	2007
Calibrating random forests H Boström 2008 Seventh International Conference on Machine Learning and Applications …, 2008	63	2008
Classification of microarrays with knn: comparison of dimensionality reduction methods S Deegalla, H Boström Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007	58	2007
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	57	2017
Conformal prediction using decision trees U Johansson, H Boström, T Löfström 2013 IEEE 13th international conference on data mining, 330-339, 2013	54	2013
Covering vs. divide-and-conquer for top-down induction of logic programs H Boström IJCAI, 1194-1200, 1995	50	1995
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	48	2017
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	47	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	46	2000

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