| 2026 | IDA | Counterfactual Explanations for Conformal Regression Intervals. | Aicha Maalej, Ulf Johansson |
| 2023 | MDAI | Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. | Ulf Johansson, Tuwe Lfstrm, Cecilia Snstrd, Helena Lfstrm |
| 2022 | CaiSE | A Meta Survey of Quality Evaluation Criteria in Explanation Methods. | Helena Lfstrm, Karl Hammar, Ulf Johansson |
| 2022 | ICMLA | Predicting Customer Churn in Retailing. | Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung |
| 2021 | IJCNN | Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets. | Simon Arvidsson, Patrick Gabrielsson, Ulf Johansson |
| 2021 | MDAI | Well-Calibrated and Sharp Interpretable Multi-Class Models. | Ulf Johansson, Tuwe Lfstrm, Henrik Bostrm |
| 2020 | SDM | Well-calibrated and specialized probability estimation trees. | Ulf Johansson, Tuwe Lfstrm |
| 2019 | DSAA | Customized Interpretable Conformal Regressors. | Ulf Johansson, Cecilia Snstrd, Tuwe Lfstrm, Henrik Bostrm |
| 2019 | IJCNN | Are Traditional Neural Networks Well-Calibrated? | Ulf Johansson, Patrick Gabrielsson |
| 2019 | SDM | Calibrating Probability Estimation Trees using Venn-Abers Predictors. | Ulf Johansson, Tuwe Lfstrm, Henrik Bostrm |
| 2018 | PAKDD | Classification with Reject Option Using Conformal Prediction. | Henrik Linusson, Ulf Johansson, Henrik Bostrm, Tuve Lfstrm |
| 2017 | IJCNN | Model-agnostic nonconformity functions for conformal classification. | Ulf Johansson, Henrik Linusson, Tuve Lfstrm, Henrik Bostrm |
| 2016 | PAKDD | Reliable Confidence Predictions Using Conformal Prediction. | Henrik Linusson, Ulf Johansson, Henrik Bostrm, Tuve Lfstrm |
| 2015 | HCI | Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems. | Maria Riveiro, Anders Dahlbom, Rikard Knig, Ulf Johansson, Peter Brattberg |
| 2015 | IC3K | Interesting Regression- and Model Trees Through Variable Restrictions. | Rikard Knig, Ulf Johansson, Ann Lindqvist, Peter Brattberg |
| 2015 | IJCNN | Efficient conformal regressors using bagged neural nets. | Ulf Johansson, Cecilia Snstrd, Henrik Linusson |
| 2014 | CIDM | Accurate and interpretable regression trees using oracle coaching. | Ulf Johansson, Cecilia Snstrd, Rikard Knig |
| 2014 | CIDM | Rule extraction using genetic programming for accurate sales forecasting. | Rikard Knig, Ulf Johansson |
| 2014 | PAKDD | Signed-Error Conformal Regression. | Henrik Linusson, Ulf Johansson, Tuve Lfstrm |
| 2013 | CEC | Evolved decision trees as conformal predictors. | Ulf Johansson, Rikard Knig, Tuve Lfstrm, Henrik Bostrm |
| 2013 | ICDM | Conformal Prediction Using Decision Trees. | Ulf Johansson, Henrik Bostrm, Tuve Lfstrm |
| 2013 | IJCNN | Random brains. | Ulf Johansson, Tuve Lfstrm, Henrik Bostrm |
| 2013 | IJCNN | Effective utilization of data in inductive conformal prediction using ensembles of neural networks. | Tuve Lfstrm, Ulf Johansson, Henrik Bostrm |
| 2012 | IJCNN | Producing implicit diversity in ANN ensembles. | Ulf Johansson, Tuve Lfstrm |
| 2011 | CEC | One tree to explain them all. | Ulf Johansson, Cecilia Snstrd, Tuve Lfstrm |
| 2011 | CEC | Evolving accurate and comprehensible classification rules. | Cecilia Snstrd, Ulf Johansson, Rikard Knig |
| 2011 | SMC | Locally induced predictive models. | Ulf Johansson, Tuve Lfstrm, Cecilia Snstrd |
| 2010 | CEC | Improving GP classification performance by injection of decision trees. | Rikard Knig, Ulf Johansson, Tuve Lfstrm, Lars Niklasson |
| 2010 | EUROGP | Using Imaginary Ensembles to Select GP Classifiers. | Ulf Johansson, Rikard Knig, Tuve Lfstrm, Lars Niklasson |
| 2010 | GECCO | Genetic rule extraction optimizing brier score. | Ulf Johansson, Rikard Knig, Lars Niklasson |
| 2010 | IJCNN | Comparing methods for generating diverse ensembles of artificial neural networks. | Tuve Lfstrm, Ulf Johansson, Henrik Bostrm |
| 2010 | IDA | Oracle Coached Decision Trees and Lists. | Ulf Johansson, Cecilia Snstrd, Tuve Lfstrm |
| 2010 | SMC | Pin-pointing concept descriptions. | Cecilia Snstrd, Ulf Johansson, Henrik Bostrm, Ulf Norinder |
| 2009 | CEC | Using genetic programming to obtain implicit diversity. | Ulf Johansson, Cecilia Snstrd, Tuve Lfstrm, Rikard Knig |
| 2009 | CIDM | Evolving decision trees using oracle guides. | Ulf Johansson, Lars Niklasson |
| 2009 | CIDM | Ensemble member selection using multi-objective optimization. | Tuve Lfstrm, Ulf Johansson, Henrik Bostrm |
| 2008 | CEC | Increasing rule extraction accuracy by post-processing GP trees. | Ulf Johansson, Rikard Knig, Tuve Lfstrm, Lars Niklasson |
| 2008 | FlAIRS | Extending Nearest Neighbor Classification with Spheres of Confidence. | Ulf Johansson, Henrik Bostrm, Rikard Knig |
| 2008 | FlAIRS | Using Genetic Programming to Increase Rule Quality. | Rikard Knig, Ulf Johansson, Lars Niklasson |
| 2008 | ICDM | G-REX: A Versatile Framework for Evolutionary Data Mining. | Rikard Knig, Ulf Johansson, Lars Niklasson |
| 2008 | ICMLA | On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. | Tuve Lfstrm, Ulf Johansson, Henrik Bostrm |
| 2008 | ICMLA | Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes. | Cecilia Snstrd, Ulf Johansson, Ulf Norinder, Henrik Bostrm |
| 2008 | IJCNN | The problem with ranking ensembles based on training or validation performance. | Ulf Johansson, Tuve Lfstrm, Henrik Bostrm |
| 2008 | PAKDD | Evaluating Standard Techniques for Implicit Diversity. | Ulf Johansson, Tuve Lfstrm, Lars Niklasson |
| 2007 | CEC | Genetic programming - a tool for flexible rule extraction. | Rikard Knig, Ulf Johansson, Lars Niklasson |
| 2007 | FUSION | Empirically investigating the importance of diversity. | Tuve Lfstrm, Ulf Johansson, Lars Niklasson |
| 2007 | IJCNN | Inconsistency - Friend or Foe. | Ulf Johansson, Rikard Knig, Lars Niklasson |
| 2007 | IJCNN | The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. | Ulf Johansson, Tuve Lfstrm, Lars Niklasson |
| 2007 | IJCNN | Concept Description - A Fresh Look. | Cecilia Snstrd, Ulf Johansson |
| 2006 | FlAIRS | Introducing GEMS - A Novel Technique for Ensemble Creation. | Ulf Johansson, Tuve Lfstrm, Rikard Knig, Lars Niklasson |
| 2006 | FUSION | Benefits of relating the Retail Domain and Information Fusion. | Tuve Lfstrm, Rikard Knig, Ulf Johansson, Lars Niklasson, Mattias Strand, Tom Ziemke |
| 2006 | ICAISC | Genetically Evolved Trees Representing Ensembles. | Ulf Johansson, Tuve Lfstrm, Rikard Knig, Lars Niklasson |
| 2006 | ICMLA | Rule Extraction from Opaque Models-- A Slightly Different Perspective. | Ulf Johansson, Tuve Lfstrm, Rikard Knig, Cecilia Snstrd, Lars Niklasson |
| 2006 | ICMLA | Explaining Winning Poker--A Data Mining Approach. | Ulf Johansson, Cecilia Snstrd, Lars Niklasson |
| 2006 | IJCNN | Building Neural Network Ensembles using Genetic Programming. | Ulf Johansson, Tuve Lfstrm, Rikard Knig, Lars Niklasson |
| 2004 | FlAIRS | The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming. | Ulf Johansson, Rikard Knig, Lars Niklasson |
| 2004 | ICONIP | Rule Extraction by Seeing Through the Model. | Tuve Lfstrm, Ulf Johansson, Lars Niklasson |
| 2003 | IJCNN | Neural networks mine for gold at the greyhound racetrack. | Ulf Johansson, Cecilia Snstrd |
| 2003 | IJCNN | Neural networks and rule extraction for prediction and explanation in the marketing domain. | Ulf Johansson, Cecilia Snstrd, Rikard Knig, Lars Niklasson |