Ulf Johansson

Professor
Avdelningen för datateknik och informatik , Tekniska Högskolan i Jönköping AB

Här är min forskarsida på Google scholar:

Google Scholar Ulf Johansson

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
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).

Artikel

Linusson, H., Johansson, U., Boström, H. (2020). Efficient conformal predictor ensembles Neurocomputing, 397, 266-278.
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.
Johansson, U., Löfström, T., Linusson, H., Boström, H. (2019). Efficient Venn Predictors using Random Forests Machine Learning, 108(3), 535-550.
Johansson, U., Linusson, H., Löfström, T., Boström, H. (2018). Interpretable regression trees using conformal prediction Expert systems with applications, 97, 394-404.
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).
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.
Löfström, T., Boström, H., Linusson, H., Johansson, U. (2015). Bias reduction through conditional conformal prediction Intelligent Data Analysis, 19(6), 1355-1375.
Johansson, U., Boström, H., Löfström, T., Linusson, H. (2014). Regression conformal prediction with random forests Machine Learning, 97(1-2), 155-176.
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.

Konferensbidrag

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
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.
Linusson, H., Johansson, U., Boström, H., Löfström, T. (2014). Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers. Artificial Intelligence Applications and Innovations.
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.
Johansson, U., König, R., Linusson, H., Löfström, T., Boström, H. (2014). Rule Extraction with Guaranteed Fidelity. Artificial Intelligence Applications and Innovations.
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.
Linusson, H., Johansson, U., Löfström, T. (2014). Signed-Error Conformal Regression. 18th Pacific-Asia Conference, PAKDD 2014 Tainan, Taiwan, May 13-16, 2014.
Johansson, U., Boström, H., Löfström, T. (2013). Conformal Prediction Using Decision Trees. IEEE International Conference on Data Mining.
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.
Johansson, U., König, R., Löfström, T., Boström, H. (2013). Evolved Decision Trees as Conformal Predictors. IEEE Congress on Evolutionary Computation, 20-23 June 2013.
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..
Johansson, U., Löfström, T., Boström, H. (2013). Random Brains. International Joint Conference on Neural Networks, Dallas, TX, USA, August 4-9, 2013..
Gabrielsson, P., König, R., Johansson, U. (2013). Evolving Hierarchical Temporal Memory-Based Trading Models. Applications of Evolutionary Computation.
Johansson, U., Löfström, T. (2012). Producing Implicit Diversity in ANN Ensembles. Neural Networks (IJCNN), The 2012 International Joint Conference on.
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.
Johansson, U., Sönströd, C., Löfström, T. (2011). One Tree to Explain Them All. IEEE Congress on Evolutionary Computation (CEC).
Johansson, U., Löfström, T., Sönströd, C. (2011). Locally Induced Predictive Models. IEEE International Conference on Systems, Man, and Cybernetics.
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.
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.
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.
Johansson, U., Sönströd, C., Löfström, T. (2010). Oracle Coached Decision Trees and Lists. Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010.
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.
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.
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.
Sönströd, C., Johansson, U., Löfström, T. (2009). Evaluating Algorithms for Concept Description. 5th International Conference on Data Mining - DMIN 09, Las Vegas, USA.
Löfström, T., Johansson, U., Boström, H. (2009). Using Optimized Optimization Criteria in Ensemble Member Selection. SWIFT 2008 - Skövde Workshop on Information Fusion Topics.
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.
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.
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.
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.
Johansson, U., Löfström, T., Niklasson, L. (2008). Evaluating Standard Techniques for Implicit Diversity. Pacific-Asia Conference on Knowledge Discovery and Data Mining.
Johansson, U., Löfström, T., Niklasson, L. (2007). Empirically Investigating the Importance of Diversity. International Conference on Information Fusion.
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.

Rapport

Johansson, U., Sundström, M., Sundell, H., Rickard, K., Jenny, B. (2016). Dataanalys för ökad kundförståelse. Stockholm: Handelsrådet
Löfström, T., Linnusson, H., Sönströd, C., Johansson, U. (2015). System Health Monitoring using Conformal Anomaly Detection. Borås: Högskolan i Borås