Henrik Boström

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Ulf JohanssonProfessor of Computer Science, Jönköping University確認したメールアドレス: ju.se
Tuwe LöfströmDepartment of Computing, Jönköping School of Engineering, Jönköping University確認したメールアドレス: ju.se
Lars AskerAssociate Professor in Computer and Systems Sciences, Stockholm University確認したメールアドレス: dsv.su.se
Henrik LinussonEkkono Solutions AB確認したメールアドレス: ekkono.ai
Panagiotis PapapetrouProfessor, Stockholm University, Sweden確認したメールアドレス: dsv.su.se
Ulf NorinderMTM Research Centre, School of Science and Technology, Örebro University, Örebro, Sweden確認したメールアドレス: oru.se
Jing ZhaoAssistant Professor of Finance, North Carolina State University確認したメールアドレス: ncsu.edu
Cecilia SönströdJönköping University確認したメールアドレス: ju.se
Aron HenrikssonAssociate Professor in Computer and Systems Sciences, Stockholm University確認したメールアドレス: dsv.su.se
Tony LindgrenDepartment of Computer and System Sciences確認したメールアドレス: dsv.su.se
Sampath DeegallaSenior Lecturer, Dept. of Computer Engineering, University of Peradeniya確認したメールアドレス: pdn.ac.lk
Thashmee KarunaratneStockholm University確認したメールアドレス: dsv.su.se
Michalis VazirgiannisDistinguished Professor, Ecole Polytechnique, Institute Polytechnique de Paris確認したメールアドレス: lix.polytechnique.fr
Ronnie JohanssonSenior researcher, Swedish defense research agency (FOI)確認したメールアドレス: foi.se
Amos H.C. NgProfessor of Production and Automation at University of Skövde; Visiting Professor of Automation, Optimization and Simulation at Uppsala University.確認したメールアドレス: his.se
Sofiane ENNADIRPhD Student - KTH Royal Institute Of Technology確認したメールアドレス: kth.se
Carlos J. Alonso GonzálezProfesor Titular de Universidad, Universidad de Valaldolid確認したメールアドレス: infor.uva.es
Hercules DalianisProfessor in Computer and Systems Science, Stockholm University, Sweden確認したメールアドレス: dsv.su.se
Alexander KarlssonAssociate Professor, University of Skövde確認したメールアドレス: his.se
Lars CarlssonRTHS and CRML, University of London, Jönköping University確認したメールアドレス: rhul.ac.uk

フォロー

Henrik Boström

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

確認したメールアドレス: kth.se

data science machine learning data mining


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Generalized random shapelet forests I Karlsson, P Papapetrou, H Boström Data mining and knowledge discovery 30, 1053-1085, 2016	209	2016
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	209	2007
Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014	199	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	177	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	156	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	147	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	146	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	123	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	99	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	94	2015
Boosting interval based literals JJ Rodríguez, CJ Alonso, H Boström Intelligent Data Analysis 5 (3), 245-262, 2001	80	2001
Estimating class probabilities in random forests H Bostrom Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007	79	2007
Calibrating random forests H Boström 2008 Seventh International Conference on Machine Learning and Applications …, 2008	72	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	67	2017
Conformal prediction using decision trees U Johansson, H Boström, T Löfström 2013 IEEE 13th international conference on data mining, 330-339, 2013	62	2013
Classification of microarrays with knn: comparison of dimensionality reduction methods S Deegalla, H Boström Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007	62	2007
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	61	2017
Covering vs. divide-and-conquer for top-down induction of logic programs H Boström IJCAI, 1194-1200, 1995	50	1995
Mondrian conformal predictive distributions H Boström, U Johansson, T Löfström Conformal and Probabilistic Prediction and Applications, 24-38, 2021	48	2021
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	48	2014

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