Henrik Boström 个人学术档案

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	总计	2019 年至今
引用	3863	1991
h 指数	30	22
i10 指数	96	53

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Ulf JohanssonProfessor of Computer Science, Jönköping University在 ju.se 的电子邮件经过验证
Tuwe LöfströmDepartment of Computing, Jönköping School of Engineering, Jönköping University在 ju.se 的电子邮件经过验证
Lars AskerAssociate Professor in Computer and Systems Sciences, Stockholm University在 dsv.su.se 的电子邮件经过验证
Henrik LinussonEkkono Solutions AB在 ekkono.ai 的电子邮件经过验证
Panagiotis PapapetrouProfessor, Stockholm University, Sweden在 dsv.su.se 的电子邮件经过验证
Ulf NorinderDepartment of Computer and Systems Sciences, Stockholm University在 dsv.su.se 的电子邮件经过验证
Jing ZhaoAssistant Professor of Finance, North Carolina State University在 ncsu.edu 的电子邮件经过验证
Cecilia SönströdJönköping University在 ju.se 的电子邮件经过验证
Aron HenrikssonAssociate Professor in Computer and Systems Sciences, Stockholm University在 dsv.su.se 的电子邮件经过验证
Tony LindgrenDepartment of Computer and System Sciences在 dsv.su.se 的电子邮件经过验证
Sampath DeegallaSenior Lecturer, Dept. of Computer Engineering, University of Peradeniya在 pdn.ac.lk 的电子邮件经过验证
Thashmee KarunaratneStockholm University在 dsv.su.se 的电子邮件经过验证
Amos H.C. NgProfessor of Production and Automation at University of Skövde; Visiting Professor of Automation, Optimization and Simulation at Uppsala University.在 his.se 的电子邮件经过验证
Ronnie JohanssonSenior researcher, Swedish defense research agency (FOI)在 foi.se 的电子邮件经过验证
Carlos J. Alonso GonzálezProfesor Titular de Universidad, Universidad de Valaldolid在 infor.uva.es 的电子邮件经过验证
Hercules DalianisProfessor in Computer and Systems Science, Stockholm University, Sweden在 dsv.su.se 的电子邮件经过验证
Alexander KarlssonAssociate Professor, University of Skövde在 his.se 的电子邮件经过验证
Kai PuolamäkiAssociate Professor, University of Helsinki, Finland在 helsinki.fi 的电子邮件经过验证
Lars CarlssonRTHS and CRML, University of London在 rhul.ac.uk 的电子邮件经过验证
Juan J. Rodríguez (ORCID:0000-0002...Catedrático (Full Professor), Universidad de Burgos (RoR:049da5t36)在 ubu.es 的电子邮件经过验证

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Henrik Boström

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

在 kth.se 的电子邮件经过验证

data science machine learning data mining


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	203	2007
Generalized random shapelet forests I Karlsson, P Papapetrou, H Boström Data mining and knowledge discovery 30, 1053-1085, 2016	182	2016
Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014	169	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	163	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	155	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	145	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	139	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	112	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	92	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	86	2015
Boosting interval based literals JJ Rodríguez, CJ Alonso, H Boström Intelligent Data Analysis 5 (3), 245-262, 2001	78	2001
Estimating class probabilities in random forests H Bostrom Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007	75	2007
Calibrating random forests H Boström 2008 Seventh International Conference on Machine Learning and Applications …, 2008	66	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	61	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	60	2007
Conformal prediction using decision trees U Johansson, H Boström, T Löfström 2013 IEEE 13th international conference on data mining, 330-339, 2013	56	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	54	2017
Covering vs. divide-and-conquer for top-down induction of logic programs H Boström IJCAI, 1194-1200, 1995	51	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	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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