Ulf Johansson
Nämnder, råd m.m.
Här är min forskarsida på Google scholar:
Artikel
Löfström, H., Löfström, T., Johansson, U., Sönströd, C.
(2024).
Calibrated explanations: With uncertainty information and counterfactuals Expert systems with applications, 246.
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Johansson, U., Löfström, T., Boström, H.
(2023).
Conformal Predictive Distribution Trees Annals of Mathematics and Artificial Intelligence.
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Löfström, H., Löfström, T., Johansson, U., Sönströd, C.
(2023).
Investigating the impact of calibration on the quality of explanations Annals of Mathematics and Artificial Intelligence.
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Johansson, U., Sönströd, C., Löfström, T., Boström, H.
(2022).
Rule extraction with guarantees from regression models Pattern Recognition, 126.
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Linusson, H., Johansson, U., Boström, H.
(2020).
Efficient conformal predictor ensembles Neurocomputing, 397, 266-278.
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Buendia, R.
Kogej, T.
Engkvist, O.
Carlsson, L.
Linusson, H.
Johansson, U.
, ... Ahlberg E.
(2019).
Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors Journal of Chemical Information and Modeling, 59(3), 1230-1237.
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Johansson, U., Löfström, T., Linusson, H., Boström, H.
(2019).
Efficient Venn Predictors using Random Forests Machine Learning, 108(3), 535-550.
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Johansson, U., Linusson, H., Löfström, T., Boström, H.
(2018).
Interpretable regression trees using conformal prediction Expert systems with applications, 97, 394-404.
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Löfström, H., Löfström, T., Johansson, U.
(2018).
Interpretable instance-based text classification for social science research projects Archives of Data Science, Series A, 5(1).
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Boström, H., Linusson, H., Löfström, T., Johansson, U.
(2017).
Accelerating difficulty estimation for conformal regression forests Annals of Mathematics and Artificial Intelligence, 81(1-2), 125-144.
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Löfström, T., Boström, H., Linusson, H., Johansson, U.
(2015).
Bias reduction through conditional conformal prediction Intelligent Data Analysis, 19(6), 1355-1375.
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Johansson, U., Boström, H., Löfström, T., Linusson, H.
(2014).
Regression conformal prediction with random forests Machine Learning, 97(1-2), 155-176.
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Johansson, U., Sönströd, C., Löfström, T., Boström, H.
(2012).
Obtaining accurate and comprehensible classifiers using oracle coaching Intelligent Data Analysis, Volume 16(Number 2), 247-263.
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Antologibidrag
Dahlbom, A., Riveiro, M., König, R., Johansson, U., Brattberg, P.
(2014).
Supporting Golf Coaching with 3D Modeling of Swings.
In:
Sportinformatik X: Jahrestagung der dvs-Sektion Sportinformatik
(pp. 142 -148).
Hamburg: Feldhaus Verlag
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Johansson, U., König, R., Löfström, T., Sönströd, C., Niklasson, L.
(2009).
Post-processing Evolved Decision Trees.
In:
Ajith Abraham
(Ed.),
Foundations of Computational Intelligence
(pp. 149 -164).
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Konferensbidrag
Johansson, U., Sönströd, C., Löfström, T., Boström, H.
(2023).
Confidence Classifiers with Guaranteed Accuracy or Precision.
Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus.
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Alkhatib, A., Boström, H., Ennadir, S., Johansson, U.
(2023).
Approximating Score-based Explanation Techniques Using Conformal Regression.
12th Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2023 Limassol 13 September 2023 through 15 September 2023.
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Löfström, T., Bondaletov, A., Ryasik, A., Boström, H., Johansson, U.
(2023).
Tutorial on using Conformal Predictive Systems in KNIME.
Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus.
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Johansson, U., Löfström, T., Sönströd, C., Löfström, H.
(2023).
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option.
International Conference on Modeling Decisions for Artificial Intelligence Umeå, Sweden 19 June 2023.
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Sweidan, D., Johansson, U., Alenljung, B., Gidenstam, A.
(2023).
Improved Decision Support for Product Returns using Probabilistic Prediction.
2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023 Las Vegas 24 July 2023 through 27 July 2023.
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Sattari, A., Johansson, U., Wilderoth, E., Jakupovic, J., Larsson-Green, P.
(2022).
The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns.
8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers.
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Johansson, U., Löfström, T., Ståhl, N.
(2022).
Well-Calibrated Rule Extractors.
11th Symposium on Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK.
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Johansson, U., Boström, H., Nguyen, K., Luo, Z., Carlsson, L.
(2022).
Preface.
11th Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2022 Brighton 24 August 2022 through 26 August 2022.
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Alkhatib, A., Boström, H., Johansson, U.
(2022).
Assessing Explanation Quality by Venn Prediction.
11th Symposium on Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK.
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Löfström, T., Ryasik, A., Johansson, U.
(2022).
Tutorial for using conformal prediction in KNIME.
11th Symposium on Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK.
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Sweidan, D., Johansson, U., Gidenstam, A., Alenljung, B.
(2022).
Predicting Customer Churn in Retailing.
Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022 Nassau 12 December 2022 through 14 December 2022.
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Löfström, H., Hammar, K., Johansson, U.
(2022).
A meta survey of quality evaluation criteria in explanation methods.
Cham:
Springer, CAiSE Forum 2022, Leuven, Belgium, June 6–10, 2022.
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Johansson, U., Löfström, T., Boström, H.
(2021).
Well-Calibrated and Sharp Interpretable Multi-Class Models.
18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings.
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Johansson, U., Löfström, T., Boström, H.
(2021).
Calibrating multi-class models.
Conformal and Probabilistic Prediction and Applications, 8-10 September 2021, Virtual.
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Boström, H., Johansson, U., Löfström, T.
(2021).
Mondrian conformal predictive distributions.
Conformal and Probabilistic Prediction and Applications, 8-10 September 2021, Virtual.
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Arvidsson, S., Gabrielsson, P., Johansson, U.
(2021).
Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets.
2021 International Joint Conference on Neural Networks (IJCNN), 18-22 July 2021, Shenzhen, China.
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Johansson, U., Bostrom, H., Löfström, T.
(2021).
Investigating Normalized Conformal Regressors.
2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021, 5 December 2021 through 7 December 2021.
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Johansson, U., Löfström, T.
(2020).
Well-calibrated and specialized probability estimation trees.
2020 SIAM International Conference on Data Mining, SDM 2020, 7 May 2020 through 9 May 2020.
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Sweidan, D., Johansson, U., Gidenstam, A.
(2020).
Predicting returns in men's fashion.
Singapore:
World Scientific, 15th Symposium of Intelligent Systems and Knowledge Engineering (ISKE) held jointly with 14th International FLINS Conference (FLINS), Cologne, Germany, 18-21 August, 2020.
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Boström, H., Johansson, U., Vesterberg, A.
(2019).
Predicting with Confidence from Survival Data.
Proceedings of the Eighth Symposium on Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria.
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Johansson, U., Gabrielsson, P.
(2019).
Are Traditional Neural Networks Well-Calibrated?.
2019 International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungary, 14 - 19 July 2019.
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Johansson, U., Sonstrod, C., Löfström, T., Bostrom, H.
(2019).
Customized interpretable conformal regressors.
6th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, United States, 5 - 8 October, 2019.
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Johansson, U., Löfström, T., Boström, H.
(2019).
Calibrating probability estimation trees using Venn-Abers predictors.
19th SIAM International Conference on Data Mining, SDM 2019, Hyatt Regency Calgary, Calgary, Canada, 2 - 4 May 2019.
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Johansson, U., Löfström, T., Boström, H., Sönströd, C.
(2019).
Interpretable and Specialized Conformal Predictors.
Proceedings of the Eighth Symposium on Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria.
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Giri, C., Johansson, U., Löfström, T.
(2019).
Predictive modeling of campaigns to quantify performance in fashion retail industry.
2019 IEEE International Conference on Big Data, Big Data 2019, Los Angeles, United States, 9-12 December 2019.
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Linusson, H., Johansson, U., Boström, H., Löfström, T.
(2018).
Classification with reject option using conformal prediction.
22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018; Melbourne; Australia; 3 June 2018 through 6 June 2018.
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Sundell, H., Löfström, T., Johansson, U.
(2018).
Explorative multi-objective optimization of marketing campaigns for the fashion retail industry.
13th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Belfast, Ireland, 21-24 August, 2018.
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Johansson, U., Löfström, T., Sundell, H.
(2018).
Venn predictors using lazy learners.
The 2018 World Congress in Computer Science, Computer Engineering & Applied Computing, July 30 - August 02, Las Vegas, Nevada, USA.
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Johansson, U., Löfström, T., Sundell, H., Linusson, H., Gidenstam, A., Boström, H.
(2018).
Venn predictors for well-calibrated probability estimation trees.
Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications, 11-13 June 2018.
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Löfström, T., Johansson, U., Balkow, J., Sundell, H.
(2018).
A data-driven approach to online fitting services.
13th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Belfast, Ireland, 21-24 August, 2018.
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Johansson, U., Linusson, H., Löfström, T., Boström, H.
(2017).
Model-agnostic nonconformity functions for conformal classification.
2017 International Joint Conference on Neural Networks, IJCNN 2017, 14 May 2017 through 19 May 2017.
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Linusson, H., Norinder, U., Boström, H., Johansson, U., Löfström, T.
(2017).
On the calibration of aggregated conformal predictors.
The 6th Symposium on Conformal and Probabilistic Prediction with Applications, (COPA 2017), 13-16 June, 2017, Stockholm, Sweden.
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Ahlberg, E.
Winiwarter, S.
Boström, H.
Linusson, H.
Löfström, T.
Norinder, U.
, ... Carlsson L.
(2017).
Using conformal prediction to prioritize compound synthesis in drug discovery.
The 6th Symposium on Conformal and Probabilistic Prediction with Applications, (COPA 2017), 13-16 June, 2017, Stockholm, Sweden.
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König, R., Johansson, U., Riveiro, M., Brattberg, P.
(2017).
Modeling golf player skill using machine learning.
1st IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference on Machine Learning and Knowledge Extraction, CD-MAKE 2017; Reggio; Italy; 29 August 2017 through 1 September 2017.
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Boström, H., Linusson, H., Löfström, T., Johansson, U.
(2016).
Evaluation of a variance-based nonconformity measure for regression forests.
5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016; Madrid; Spain; 20 April 2016 through 22 April 2016.
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Linusson, H., Johansson, U., Boström, H., Löfström, T.
(2016).
Reliable Confidence Predictions Using Conformal Prediction.
PAKDD 2016: Advances in Knowledge Discovery and Data Mining, Auckland, April 19-22, 2016.
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Johansson, U., Konig, R., Brattberg, P., Dahlbom, A., Riveiro, M.
(2016).
Mining trackman golf data.
International Conference on Computational Science and Computational Intelligence, CSCI 2015, 7 December 2015 through 9 December 2015.
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Johansson, U., Sönströd, C., Linusson, H.
(2015).
Efficient conformal regressors using bagged neural nets.
International Joint Conference on Neural Networks, IJCNN 2015, 12 July 2015 through 17 July 2015.
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Johansson, U., Ahlberg, E., Boström, H., Carlsson, L., Linusson, H., Sönströd, C.
(2015).
Handling small calibration sets in mondrian inductive conformal regressors.
3rd International Symposium on Statistical Learning and Data Sciences, SLDS 2015; Egham; United Kingdom; 20 April 2015 through 23 April 2015.
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Sundell, H., König, R., Johansson, U.
(2015).
Pragmatic Approach to Association Rule Learning in Real-World Scenarios.
The 2015 International Conference on Computational Science and Computational Intelligence (CSCI'15).
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Gabrielsson, P., Johansson, U.
(2015).
High-frequency equity index futures trading using recurrent reinforcement learning with candlesticks.
IEEE Symposium Series on Computational Intelligence, SSCI 2015, 8 December 2015 through 10 December 2015.
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König, R., Johansson, U., Lindqvist, A., Brattberg, P.
(2015).
Interesting regression- and model trees through variable restrictions.
7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015, 12 November 2015 through 14 November 2015.
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Riveiro, M., Dahlbom, A., König, R., Johansson, U., Brattberg, P.
(2015).
Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems.
Learning and Collaboration Technologies.
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Carlsson, L., Ahlberg, E., Boström, H., Johansson, U., Linusson, H.
(2015).
Modifications to p-Values of conformal predictors.
3rd International Symposium on Statistical Learning and Data Sciences, SLDS 2015; Egham; United Kingdom; 20 April 2015 through 23 April 2015.
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Johansson, U., Sönströd, C., König, R.
(2014).
Accurate and Interpretable Regression Trees using Oracle Coaching.
5th IEEE Symposium Computational Intelligence and Data Mining, 9-12 Decmber, Orlando, FL, USA.
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Johansson, U., Sönströd, C., Linusson, H., Boström, H.
(2014).
Regression Trees for Streaming Data with Local Performance Guarantees.
IEEE International Conference on Big Data, 27-30 October, 2014, Washington, DC, USA.
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Linusson, H., Johansson, U., Boström, H., Löfström, T.
(2014).
Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers.
Artificial Intelligence Applications and Innovations.
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Gabrielsson, P., Johansson, U., König, R.
(2014).
Co-Evolving Online High-Frequency Trading Strategies Using Grammatical Evolution.
IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 27-28 March, 2014, London, UK.
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Johansson, U., König, R., Linusson, H., Löfström, T., Boström, H.
(2014).
Rule Extraction with Guaranteed Fidelity.
Artificial Intelligence Applications and Innovations.
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König, R., Johansson, U.
(2014).
Rule Extraction using Genetic Programming for Accurate Sales Forecasting.
5th IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), 9-12 december, Orlando, FL, USA.
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Linusson, H., Johansson, U., Löfström, T.
(2014).
Signed-Error Conformal Regression.
18th Pacific-Asia Conference, PAKDD 2014 Tainan, Taiwan, May 13-16, 2014.
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Johansson, U., Boström, H., Löfström, T.
(2013).
Conformal Prediction Using Decision Trees.
IEEE International Conference on Data Mining.
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Johansson, U., Löfström, T., Boström, H.
(2013).
Overproduce-and-Select: The Grim Reality.
IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), 16-19 April 2013 , Singapore.
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Johansson, U., König, R., Löfström, T., Boström, H.
(2013).
Evolved Decision Trees as Conformal Predictors.
IEEE Congress on Evolutionary Computation, 20-23 June 2013.
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Löfström, T., Johansson, U., Boström, H.
(2013).
Effective Utilization of Data in Inductive Conformal Prediction using Ensembles of Neural Networks.
International Joint Conference on Neural Networks, Dallas, TX, USA, August 4-9, 2013..
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Johansson, U., Löfström, T., Boström, H.
(2013).
Random Brains.
International Joint Conference on Neural Networks, Dallas, TX, USA, August 4-9, 2013..
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Gabrielsson, P., König, R., Johansson, U.
(2013).
Evolving Hierarchical Temporal Memory-Based Trading Models.
Applications of Evolutionary Computation.
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Johansson, U., Löfström, T.
(2012).
Producing Implicit Diversity in ANN Ensembles.
Neural Networks (IJCNN), The 2012 International Joint Conference on.
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Gabrielsson, P., König, R., Johansson, U.
(2012).
Hierarchical Temporal Memory-based algorithmic trading of financial markets.
Computational Intelligence for Financial Engineering & Economics (CIFEr), New York, NY, 2012.
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Johansson, U., Sönströd, C., Löfström, T.
(2011).
One Tree to Explain Them All.
IEEE Congress on Evolutionary Computation (CEC).
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Johansson, U., Löfström, T., Sönströd, C.
(2011).
Locally Induced Predictive Models.
IEEE International Conference on Systems, Man, and Cybernetics.
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Johansson, U., König, R., Löfström, T., Niklasson, L.
(2010).
Using Imaginary Ensembles to Select GP Classifiers.
13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010.
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Johansson, U., Sönströd, C., Norinder, U., Boström, H., Löfström, T.
(2010).
Using Feature Selection with Bagging and Rule Extraction in Drug Discovery.
Advances in Intelligent Decision Technologies, Second KES International Symposium IDT 2010.
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König, R., Johansson, U., Löfström, T., Niklasson, L.
(2010).
Improving GP Classification Performance by Injection of Decision Trees.
WCCI 2010 IEEE World Congress on Computational Intelligence, CEC 2010.
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Johansson, U., Sönströd, C., Löfström, T.
(2010).
Oracle Coached Decision Trees and Lists.
Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010.
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Löfström, T., Johansson, U., Boström, H.
(2010).
Comparing Methods for Generating Diverse Ensembles of Artificial Neural Networks.
WCCI 2010 IEEE World Congress on Computational Intelligence, IJCNN 2010.
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Johansson, U., Sönströd, C., Löfström, T., König, R.
(2009).
Using Genetic Programming to Obtain Implicit Diversity.
2009 IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norge.
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Löfström, T., Johansson, U., Borström, H.
(2009).
Ensemble Member Selection Using Multi-Objective Optimization.
2009 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING, Nashville, TN, USA.
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Sönströd, C., Johansson, U., Löfström, T.
(2009).
Evaluating Algorithms for Concept Description.
5th International Conference on Data Mining - DMIN 09, Las Vegas, USA.
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Löfström, T., Johansson, U., Boström, H.
(2009).
Using Optimized Optimization Criteria in Ensemble Member Selection.
SWIFT 2008 - Skövde Workshop on Information Fusion Topics.
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Löfström, T., Johansson, U., Boström, H.
(2008).
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.
Seventh International Conference on Machine Learning and Applications.
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Löfström, T., Johansson, U., Boström, H.
(2008).
The Problem with Ranking Ensembles Based on Training or Validation Performance.
IJCNN 2008, Hong Kong, June 1- 6, 2008.
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Johansson, U., König, R., Löfström, T., Niklasson, L.
(2008).
Increasing Rule Extraction Accuracy by Post-processing GP Trees.
CEC 2008, Hong Kong, June 1-6, 2008.
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Johansson, U., Sönströd, C., Boström, H., Löfström, T.
(2008).
Chipper: A Novel Algorithm for Concept Description.
Paper presented at the 10th Scandinavian Conference on Artificial Intelligence SCAI 2008.
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Johansson, U., Löfström, T., Niklasson, L.
(2008).
Evaluating Standard Techniques for Implicit Diversity.
Pacific-Asia Conference on Knowledge Discovery and Data Mining.
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Johansson, U., Löfström, T., Niklasson, L.
(2007).
Empirically Investigating the Importance of Diversity.
International Conference on Information Fusion.
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Johansson, U., Löfström, T., Niklasson, L.
(2007).
The Importance of Diversity in Neural Network Ensembles: An Empirical Investigation.
The International Joint Conference on Neural Networks.
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Rapport
Löfström, T., Ralsmark, H., Johansson, U.
(2021).
Collusion in algorithmic pricing.
Stockholm:
Konkurrensverket
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Johansson, U., Sundström, M., Sundell, H., Rickard, K., Jenny, B.
(2016).
Dataanalys för ökad kundförståelse.
Stockholm:
Handelsrådet
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Löfström, T., Linnusson, H., Sönströd, C., Johansson, U.
(2015).
System Health Monitoring using Conformal Anomaly Detection.
Borås:
Högskolan i Borås
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