Tuwe Löfström

Universitetslektor
Avdelningen för datateknik och informatik , Tekniska Högskolan i Jönköping AB
För en presentation av Tuwe Löfström, se engelska presentationsidan.

Antologibidrag

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

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.
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., 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.
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.
Radon, A. Johansson, P. Sundström, M. Alm, H. Behre, M. Göbel, H. , ... Wallström S. (2016). What happens when retail meets research?: Special session. ANZMAC Conference 2016 - Marketing in a Post-Disciplinary Era, Christchurch, 5-7 December, 2016.
Löfström, T., Zhao, J., Linnusson, H., Jansson, K. (2015). Predicting Adverse Drug Events with Confidence. Thirteenth Scandinavian Conference on Artificial Intelligence.
Linusson, H., Johansson, U., Boström, H., Löfström, T. (2014). Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers. Artificial Intelligence Applications and Innovations.
Johansson, U., König, R., Linusson, H., Löfström, T., Boström, H. (2014). Rule Extraction with Guaranteed Fidelity. Artificial Intelligence Applications and Innovations.
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..
Johansson, U., Löfström, T. (2012). Producing Implicit Diversity in ANN Ensembles. Neural Networks (IJCNN), The 2012 International Joint Conference on.
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

Löfström, T., Linnusson, H., Sönströd, C., Johansson, U. (2015). System Health Monitoring using Conformal Anomaly Detection. Borås: Högskolan i Borås