Henrik Boström

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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
Panagiotis PapapetrouProfessor, Stockholm University, SwedenVerified email at dsv.su.se
Henrik LinussonUniversity of BoråsVerified email at hb.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
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
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 HeneliusOP Financial GroupVerified email at op.fi
Juan J. Rodríguez (ORCID: 0000-000...Catedrático (Professor), Universidad de BurgosVerified email at ubu.es
Lars CarlssonRTHS and CRML, University of LondonVerified email at rhul.ac.uk
Jing ZhaoDepartment of Computer and Systems Sciences (DSV), Stockholm UniversityVerified email at dsv.su.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	158	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	146	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	133	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	125	2006
Generalized random shapelet forests I Karlsson, P Papapetrou, H Boström Data mining and knowledge discovery 30 (5), 1053-1085, 2016	117	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 (5), 1503-1529, 2014	116	2014
Boosting interval based literals JJ Rodríguez, CJ Alonso, H Boström Intelligent Data Analysis 5 (3), 245-262, 2001	94*	2001
Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97 (1), 155-176, 2014	88	2014
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	83	2017
Estimating class probabilities in random forests H Bostrom Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007	70	2007
Calibrating random forests H Boström 2008 Seventh International Conference on Machine Learning and Applications …, 2008	57	2008
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	56	2015
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	56	2011
Classification of microarrays with knn: Comparison of dimensionality reduction methods S Deegalla, H Boström International Conference on Intelligent Data Engineering and Automated …, 2007	50	2007
Conformal prediction using decision trees U Johansson, H Boström, T Löfström 2013 IEEE 13th international conference on data mining, 330-339, 2013	48	2013
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	44	2000
Covering vs. divide-and-conquer for top-down induction of logic programs H Boström IJCAI, 1194-1200, 1995	41	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	39	2014
Specialization of logic programs by pruning SLD-trees H Boström, P Idestam-Almquist Proc. of the Fourth International Workshop on Inductive Logic Programming …, 1994	39	1994
Accelerating difficulty estimation for conformal regression forests H Boström, H Linusson, T Löfström, U Johansson Annals of Mathematics and Artificial Intelligence 81 (1), 125-144, 2017	36	2017

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