Henrik Boström

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	All	Since 2016
Citations	2502	1273
h-index	25	20
i10-index	70	37

340

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255

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Ulf JohanssonProfessor of Computer Science, Jönköping UniversityVerified email at ju.se
Tuve LöfströmJönköping School of TechnologyVerified 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
Aron HenrikssonAssistant Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Cecilia SönströdUniversity of BoråsVerified email at hb.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
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
Juan J. RodríguezUniversidad de BurgosVerified email at ubu.es
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
Kai PuolamäkiAssociate Professor, University of Helsinki, FinlandVerified email at helsinki.fi
Andreas HeneliusUniversity of HelsinkiVerified email at helsinki.fi
Sten F AndlerProfessor of Computer Science, University of Skövde, SwedenVerified email at his.se

Henrik Boström

Professor in 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	147	2007
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	144	2003
Automatic keyword extraction using domain knowledge A Hulth, J Karlgren, A Jonsson, H Boström, L Asker International Conference on Intelligent Text Processing and Computational …, 2001	123	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	108	2006
Boosting interval based literals JJ Rodríguez, CJ Alonso, H Boström Intelligent Data Analysis 5 (3), 245-262, 2001	90*	2001
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 (5), 1503-1529, 2014	77	2014
Generalized random shapelet forests I Karlsson, P Papapetrou, H Boström Data mining and knowledge discovery 30 (5), 1053-1085, 2016	70	2016
Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine Learning 97 (1-2), 155-176, 2014	62	2014
Estimating class probabilities in random forests H Bostrom Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007	61	2007
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	59	2017
Calibrating random forests H Boström 2008 Seventh International Conference on Machine Learning and Applications …, 2008	47	2008
Classification of microarrays with knn: Comparison of dimensionality reduction methods S Deegalla, H Boström International Conference on Intelligent Data Engineering and Automated …, 2007	46	2007
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
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	44	2015
Covering vs. divide-and-conquer for top-down induction of logic programs H Boström IJCAI, 1194-1200, 1995	42	1995
Conformal prediction using decision trees U Johansson, H Boström, T Löfström 2013 IEEE 13th international conference on data mining, 330-339, 2013	40	2013
Specialization of logic programs by pruning SLD-trees H Boström, P Idestam-Almquist Proc. of the Fourth International Workshop on Inductive Logic Programming …, 1994	36	1994
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	35	2011
Detecting adverse drug events with multiple representations of clinical measurements J Zhao, A Henriksson, L Asker, H Boström 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014	33	2014
Predicting adverse drug events by analyzing electronic patient records I Karlsson, J Zhao, L Asker, H Boström Conference on Artificial Intelligence in Medicine in Europe, 125-129, 2013	29	2013

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