Reliable Confidence Predictions Using Conformal Prediction

Henrik Linusson , Ulf Johansson , Henrik Boström , Tuve Löfström
pacific-asia conference on knowledge discovery and data mining 9651 77 -88

6
2016
Using Feature Selection with Bagging and Rule Extraction in Drug Discovery

Ulf Johansson , Cecilia Sönströd , Ulf Norinder , Henrik Boström
Advances in Intelligent Decision Technologies, Second KES International Symposium IDT 2010 413 -422

2
2010
Trade-off between accuracy and interpretability for predictive in silico modeling.

Ulf Johansson , Cecilia Sönströd , Ulf Norinder , Henrik Boström
Future Medicinal Chemistry 3 ( 6) 647 -663

29
2011
A peek into the black box: exploring classifiers by randomization

Andreas Henelius , Kai Puolamäki , Henrik Boström , Lars Asker
Data Mining and Knowledge Discovery 28 ( 5) 1503 -1529

46
2014
Generalized random shapelet forests

Isak Karlsson , Panagiotis Papapetrou , Henrik Boström ,
european conference on machine learning 30 ( 5) 1053 -1085

142
2016
Improving structure-based virtual screening by multivariate analysis of scoring data.

Micael Jacobsson , Per Lidén , Eva Stjernschantz , Henrik Boström
Journal of Medicinal Chemistry 46 ( 26) 5781 -5789

95
2003
Integration of data mining and multi-objective optimisation for decision support in production systems development

Catarina Dudas , Amos H.C. Ng , Leif Pehrsson , Henrik Boström
International Journal of Computer Integrated Manufacturing 27 ( 9) 824 -839

22
2014
Modifications to p-Values of Conformal Predictors

Lars Carlsson , Ernst Ahlberg , Henrik Boström , Ulf Johansson
3rd International Symposium on Statistical Learning and Data Sciences, SLDS 2015, Egham, United Kingdom, 20 April 2015 through 23 April 2015 9047 251 -259

6
2015
Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors

Ulf Johansson , Ernst Ahlberg , Henrik Boström , Lars Carlsson
Statistical Learning and Data Sciences 9047 271 -280

14
2015
Forests of Randomized Shapelet Trees

Isak Karlsson , Panagotis Papapetrou , Henrik Boström ,
Statistical Learning and Data Sciences 126 -136

11
2015
GoldenEye++: A Closer Look into the Black Box

Andreas Henelius , Kai Puolamäki , Isak Karlsson , Jing Zhao
Statistical Learning and Data Sciences 96 -105

6
2015
Resolving Rule Conflicts with Double Induction

Tony Lindgren , Henrik Boström
Advances in Intelligent Data Analysis V 8 ( 5) 60 -67

19
2003
Learning from heterogeneous temporal data in electronic health records.

Jing Zhao , Panagiotis Papapetrou , Lars Asker , Henrik Boström
Journal of Biomedical Informatics 65 105 -119

92
2017
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119].

Jing Zhao , Panagiotis Papapetrou , Lars Asker , Henrik Boström
Journal of Biomedical Informatics 101 103352

2020
Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias

Orlando P. Zacarias , Henrik Boström
advanced data mining and applications 8347 189 -200

1
2013
Eliminating redundancy in explanation-based learning

Henrik Boström
international conference on machine learning 37 -42

8
1992
Learning from Swedish Healthcare Data

Lars Asker , Panagiotis Papapetrou , Henrik Boström
pervasive technologies related to assistive environments 29 47

2016
Predicate Invention and Learning from Positive Examples Only

Henrik Boström
european conference on machine learning 226 -237

17
1998
Mining candidates for adverse drug interactions in electronic patient records

Lars Asker , Henrik Boström , Isak Karlsson , Panagiotis Papapetrou
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '14 22

4
2014
Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods

Sampath Deegalla , Henrik Boström
Intelligent Data Engineering and Automated Learning - IDEAL 2007 800 -809

27
2007