Neural networks mine for gold at the greyhound racetrack. - Ulf Johansson; Cecilia Sönströd (IJCNN, 2003)

Neural networks and rule extraction for prediction and explanation in the marketing domain. - Ulf Johansson; Cecilia Sönströd; Rikard König; Lars Niklasson (IJCNN, 2003)

An empirical investigation into e-business adoption in the Scottish smaller firm. - Beverly A. Wagner; Ian Fillis; Ulf Johansson (Int. J. Electron. Bus., 2003)

The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming. - Ulf Johansson; Rikard König; Lars Niklasson (FLAIRS, 2004)

Why rule extraction matters. - Ulf Johansson; Cecilia Sönströd; Lars Niklasson (IASTED Conf. on Software Engineering and Applications, 2004)

Rule Extraction by Seeing Through the Model. - Tuve Löfström; Ulf Johansson; Lars Niklasson (ICONIP, 2004)

Obtaining Accurate Neural Network Ensembles. - Ulf Johansson; Tuve Löfström; Lars Niklasson (CIMCA/IAWTIC, 2005)

Introducing GEMS - A Novel Technique for Ensemble Creation. - Ulf Johansson; Tuve Löfström; Rikard König; Lars Niklasson (FLAIRS, 2006)

Benefits of relating the Retail Domain and Information Fusion. - Tuve Löfström; Rikard König; Ulf Johansson; Lars Niklasson; Mattias Strand; Tom Ziemke (FUSION, 2006)

Genetically Evolved Trees Representing Ensembles. - Ulf Johansson; Tuve Löfström; Rikard König; Lars Niklasson (ICAISC, 2006)

Rule Extraction from Opaque Models– A Slightly Different Perspective. - Ulf Johansson; Tuve Löfström; Rikard König; Cecilia Sönströd; Lars Niklasson (ICMLA, 2006)

Explaining Winning Poker–A Data Mining Approach. - Ulf Johansson; Cecilia Sönströd; Lars Niklasson (ICMLA, 2006)

Building Neural Network Ensembles using Genetic Programming. - Ulf Johansson; Tuve Löfström; Rikard König; Lars Niklasson (IJCNN, 2006)

Genetic programming - a tool for flexible rule extraction. - Rikard König; Ulf Johansson; Lars Niklasson (IEEE Congress on Evolutionary Computation, 2007)

Instance Ranking using Ensemble Spread. - Rikard König; Ulf Johansson; Lars Niklasson (DMIN, 2007)

Towards a Unified View on Concept Description. - Cecilia Sönströd; Ulf Johansson; Rikard König (DMIN, 2007)

Empirically investigating the importance of diversity. - Tuve Löfström; Ulf Johansson; Lars Niklasson (FUSION, 2007)

Inconsistency - Friend or Foe. - Ulf Johansson; Rikard König; Lars Niklasson (IJCNN, 2007)

The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. - Ulf Johansson; Tuve Löfström; Lars Niklasson (IJCNN, 2007)

Concept Description - A Fresh Look. - Cecilia Sönströd; Ulf Johansson (IJCNN, 2007)

Obtaining Accurate and Comprehensible Data Mining Models: An Evolutionary Approach. - Ulf Johansson (2007)

Increasing rule extraction accuracy by post-processing GP trees. - Ulf Johansson; Rikard König; Tuve Löfström; Lars Niklasson (IEEE Congress on Evolutionary Computation, 2008)

Evolving a Locally Optimized Instance Based Learner. - Ulf Johansson; Rikard König; Lars Niklasson (DMIN, 2008)

Genetic Decision Lists for Concept Description. - Cecilia Sönströd; Ulf Johansson; Rikard König; Lars Niklasson (DMIN, 2008)

Extending Nearest Neighbor Classification with Spheres of Confidence. - Ulf Johansson; Henrik Boström; Rikard König (FLAIRS, 2008)

Using Genetic Programming to Increase Rule Quality. - Rikard König; Ulf Johansson; Lars Niklasson (FLAIRS, 2008)

G-REX: A Versatile Framework for Evolutionary Data Mining. - Rikard König; Ulf Johansson; Lars Niklasson (ICDM Workshops, 2008)

On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. - Tuve Löfström; Ulf Johansson; Henrik Boström (ICMLA, 2008)

Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes. - Cecilia Sönströd; Ulf Johansson; Ulf Norinder; Henrik Boström (ICMLA, 2008)

The problem with ranking ensembles based on training or validation performance. - Ulf Johansson; Tuve Löfström; Henrik Boström (IJCNN, 2008)

Evaluating Standard Techniques for Implicit Diversity. - Ulf Johansson; Tuve Löfström; Lars Niklasson (PAKDD, 2008)

Chipper - A Novel Algorithm for Concept Description. - Ulf Johansson; Cecilia Sönströd; Tuve Löfström; Henrik Boström (SCAI, 2008)

Using genetic programming to obtain implicit diversity. - Ulf Johansson; Cecilia Sönströd; Tuve Löfström; Rikard König (IEEE Congress on Evolutionary Computation, 2009)

Evolving decision trees using oracle guides. - Ulf Johansson; Lars Niklasson (CIDM, 2009)

Ensemble member selection using multi-objective optimization. - Tuve Löfström; Ulf Johansson; Henrik Boström (CIDM, 2009)

Fish or Shark - Data Mining Online Poker. - Ulf Johansson; Cecilia Sönströd (DMIN, 2009)

Evaluating Algorithms for Concept Description. - Cecilia Sönströd; Ulf Johansson; Tuve Löfström (DMIN, 2009)

Post-processing Evolved Decision Trees. - Ulf Johansson; Rikard König; Tuve Löfström; Cecilia Sönströd; Lars Niklasson (Foundations of Computational Intelligence (4), 2009)

Improving GP classification performance by injection of decision trees. - Rikard König; Ulf Johansson; Tuve Löfström; Lars Niklasson (IEEE Congress on Evolutionary Computation, 2010)

Using Imaginary Ensembles to Select GP Classifiers. - Ulf Johansson; Rikard König; Tuve Löfström; Lars Niklasson (EuroGP, 2010)

Genetic rule extraction optimizing brier score. - Ulf Johansson; Rikard König; Lars Niklasson (GECCO, 2010)

Oracle Coached Decision Trees and Lists. - Ulf Johansson; Cecilia Sönströd; Tuve Löfström (IDA, 2010)

Comparing methods for generating diverse ensembles of artificial neural networks. - Tuve Löfström; Ulf Johansson; Henrik Boström (IJCNN, 2010)

Pin-pointing concept descriptions. - Cecilia Sönströd; Ulf Johansson; Henrik Boström; Ulf Norinder (SMC, 2010)

Genetically Evolved kNN Ensembles. - Ulf Johansson; Rikard König; Lars Niklasson (Data Mining, 2010)

One tree to explain them all. - Ulf Johansson; Cecilia Sönströd; Tuve Löfström (IEEE Congress on Evolutionary Computation, 2011)

Evolving accurate and comprehensible classification rules. - Cecilia Sönströd; Ulf Johansson; Rikard König (IEEE Congress on Evolutionary Computation, 2011)

Locally induced predictive models. - Ulf Johansson; Tuve Löfström; Cecilia Sönströd (SMC, 2011)

Hierarchical Temporal Memory-based algorithmic trading of financial markets. - Patrick Gabrielsson; Rikard König; Ulf Johansson (CIFEr, 2012)

Producing implicit diversity in ANN ensembles. - Ulf Johansson; Tuve Löfström (IJCNN, 2012)

Obtaining accurate and comprehensible classifiers using oracle coaching. - Ulf Johansson; Cecilia Sönströd; Tuve Löfström; Henrik Boström (Intell. Data Anal., 2012)

Evolved decision trees as conformal predictors. - Ulf Johansson; Rikard König; Tuve Löfström; Henrik Boström (IEEE Congress on Evolutionary Computation, 2013)

Overproduce-and-select: The grim reality. - Ulf Johansson; Tuve Löfström; Henrik Boström (CIEL, 2013)

Evolving Hierarchical Temporal Memory-Based Trading Models. - Patrick Gabrielsson; Rikard König; Ulf Johansson (EvoApplications, 2013)

Conformal Prediction Using Decision Trees. - Ulf Johansson; Henrik Boström; Tuve Löfström (ICDM, 2013)

Random brains. - Ulf Johansson; Tuve Löfström; Henrik Boström (IJCNN, 2013)

Effective utilization of data in inductive conformal prediction using ensembles of neural networks. - Tuve Löfström; Ulf Johansson; Henrik Boström (IJCNN, 2013)

Regression trees for streaming data with local performance guarantees. - Ulf Johansson; Cecilia Sönströd; Henrik Linusson; Henrik Boström (IEEE BigData, 2014)

Accurate and interpretable regression trees using oracle coaching. - Ulf Johansson; Cecilia Sönströd; Rikard König (CIDM, 2014)

Rule extraction using genetic programming for accurate sales forecasting. - Rikard König; Ulf Johansson (CIDM, 2014)

Co-evolving online high-frequency trading strategies using grammatical evolution. - Patrick Gabrielsson; Ulf Johansson; Rikard König (CIFEr, 2014)

Rule Extraction with Guaranteed Fidelity. - Ulf Johansson; Rikard König; Henrik Linusson; Tuve Löfström; Henrik Boström (AIAI (Workshops), 2014)

Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers. - Henrik Linusson; Ulf Johansson; Henrik Boström; Tuve Löfström (AIAI (Workshops), 2014)

Signed-Error Conformal Regression. - Henrik Linusson; Ulf Johansson; Tuve Löfström (PAKDD (1), 2014)

Regression conformal prediction with random forests. - Ulf Johansson; Henrik Boström; Tuve Löfström; Henrik Linusson (Mach. Learn., 2014)

Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems. - Maria Riveiro 001; Anders Dahlbom; Rikard König; Ulf Johansson; Peter Brattberg (HCI (24), 2015)

Interesting Regression- and Model Trees Through Variable Restrictions. - Rikard König; Ulf Johansson; Ann Lindqvist; Peter Brattberg (KDIR, 2015)

Efficient conformal regressors using bagged neural nets. - Ulf Johansson; Cecilia Sönströd; Henrik Linusson (IJCNN, 2015)

Modifications to p-Values of Conformal Predictors. - Lars Carlsson; Ernst Ahlberg; Henrik Boström; Ulf Johansson; Henrik Linusson (SLDS, 2015)

Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors. - Ulf Johansson; Ernst Ahlberg; Henrik Boström; Lars Carlsson; Henrik Linusson; Cecilia Sönströd (SLDS, 2015)

High-Frequency Equity Index Futures Trading Using Recurrent Reinforcement Learning with Candlesticks. - Patrick Gabrielsson; Ulf Johansson (SSCI, 2015)

Bias reduction through conditional conformal prediction. - Tuve Löfström; Henrik Boström; Henrik Linusson; Ulf Johansson (Intell. Data Anal., 2015)

Evaluation of a Variance-Based Nonconformity Measure for Regression Forests. - Henrik Boström; Henrik Linusson; Tuve Löfström; Ulf Johansson (COPA, 2016)

Reliable Confidence Predictions Using Conformal Prediction. - Henrik Linusson; Ulf Johansson; Henrik Boström; Tuve Löfström (PAKDD (1), 2016)

Modeling Golf Player Skill Using Machine Learning. - Rikard König; Ulf Johansson; Maria Riveiro 001; Peter Brattberg (CD-MAKE, 2017)

Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery. - Ernst Ahlberg; Susanne Winiwarter; Henrik Boström; Henrik Linusson; Tuve Löfström; Ulf Norinder; Ulf Johansson; Ola Engkvist; Oscar Hammar; Claus Bendtsen; Lars Carlsson (COPA, 2017)

On the Calibration of Aggregated Conformal Predictors. - Henrik Linusson; Ulf Norinder; Henrik Boström; Ulf Johansson; Tuve Löfström (COPA, 2017)

Model-agnostic nonconformity functions for conformal classification. - Ulf Johansson; Henrik Linusson; Tuve Löfström; Henrik Boström (IJCNN, 2017)

Accelerating difficulty estimation for conformal regression forests. - Henrik Boström; Henrik Linusson; Tuve Löfström; Ulf Johansson (Ann. Math. Artif. Intell., 2017)

Venn predictors for well-calibrated probability estimation trees. - Ulf Johansson; Tuwe Löfström; Håkan Sundell; Henrik Linusson; Anders Gidenstam; Henrik Boström (COPA, 2018)

Classification with Reject Option Using Conformal Prediction. - Henrik Linusson; Ulf Johansson; Henrik Boström; Tuve Löfström (PAKDD (1), 2018)

Interpretable regression trees using conformal prediction. - Ulf Johansson; Henrik Linusson; Tuve Löfström; Henrik Boström (Expert Syst. Appl., 2018)

Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry. - Chandadevi Giri; Ulf Johansson; Tuwe Löfström (IEEE BigData, 2019)

Predicting with Confidence from Survival Data. - Henrik Boström; Ulf Johansson; Anders Vesterberg (COPA, 2019)

Interpretable and specialized conformal predictors. - Ulf Johansson; Tuwe Löfström; Henrik Boström; Cecilia Sönströd (COPA, 2019)

Customized Interpretable Conformal Regressors. - Ulf Johansson; Cecilia Sönströd; Tuwe Löfström; Henrik Boström (DSAA, 2019)

Are Traditional Neural Networks Well-Calibrated? - Ulf Johansson; Patrick Gabrielsson (IJCNN, 2019)

Calibrating Probability Estimation Trees using Venn-Abers Predictors. - Ulf Johansson; Tuwe Löfström; Henrik Boström (SDM, 2019)

Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors. - Rubén Buendía; Thierry Kogej; Ola Engkvist; Lars Carlsson; Henrik Linusson; Ulf Johansson; Paolo Toccaceli; Ernst Ahlberg (J. Chem. Inf. Model., 2019)

Efficient Venn predictors using random forests. - Ulf Johansson; Tuve Löfström; Henrik Linusson; Henrik Boström (Mach. Learn., 2019)

Mondrian conformal regressors. - Henrik Boström; Ulf Johansson (COPA, 2020)

Well-calibrated and specialized probability estimation trees. - Ulf Johansson; Tuwe Löfström (SDM, 2020)

Efficient conformal predictor ensembles. - Henrik Linusson; Ulf Johansson; Henrik Boström (Neurocomputing, 2020)

Mondrian conformal predictive distributions. - Henrik Boström; Ulf Johansson; Tuwe Löfström (COPA, 2021)

Calibrating multi-class models. - Ulf Johansson; Tuwe Löfström; Henrik Boström (COPA, 2021)

Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets. - Simon Arvidsson; Patrick Gabrielsson; Ulf Johansson (IJCNN, 2021)

Well-Calibrated and Sharp Interpretable Multi-Class Models. - Ulf Johansson; Tuwe Löfström; Henrik Boström (MDAI, 2021)

The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns. - Arsalan Sattari; Ulf Johansson; Erik Wilderoth; Jasmin Jakupovic; Peter Larsson-Green (MLSA@PKDD/ECML, 2021)

Investigating Normalized Conformal Regressors. - Ulf Johansson; Henrik Boström; Tuwe Löfström (SSCI, 2021)

A Meta Survey of Quality Evaluation Criteria in Explanation Methods. - Helena Löfström; Karl Hammar; Ulf Johansson (CAiSE Forum, 2022)

Assessing Explanation Quality by Venn Prediction. - Amr Alkhatib; Henrik Boström; Ulf Johansson (COPA, 2022)

Preface. - Ulf Johansson; Henrik Boström; Khuong An Nguyen; Zhiyuan Luo 001; Lars Carlsson (COPA, 2022)

Well-Calibrated Rule Extractors. - Ulf Johansson; Tuwe Löfström; Niclas Ståhl (COPA, 2022)

Tutorial for using conformal prediction in KNIME. - Tuwe Löfström; Artem Ryasik; Ulf Johansson (COPA, 2022)

Predicting Customer Churn in Retailing. - Dirar Sweidan; Ulf Johansson; Anders Gidenstam; Beatrice Alenljung (ICMLA, 2022)

How Analytics is Changing Ice Hockey. - Ulf Johansson; Erik Wilderoth; Arsalan Sattari (LINHAC, 2022)

Where not to lose the puck. - Erik Wilderoth; Ulf Johansson; Arsalan Sattari (LINHAC, 2022)

Rule extraction with guarantees from regression models. - Ulf Johansson; Cecilia Sönströd; Tuwe Löfström; Henrik Boström (Pattern Recognit., 2022)

Approximating Score-based Explanation Techniques Using Conformal Regression. - Amr Alkhatib; Henrik Boström; Sofiane Ennadir; Ulf Johansson (COPA, 2023)

Confidence Classifiers with Guaranteed Accuracy or Precision. - Ulf Johansson; Cecilia Sönströd; Tuwe Löfström; Henrik Boström (COPA, 2023)

Tutorial on using Conformal Predictive Systems in KNIME. - Tuwe Löfström; Alexander Bondaletov; Artem Ryasik; Henrik Boström; Ulf Johansson (COPA, 2023)

Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. - Ulf Johansson; Tuwe Löfström; Cecilia Sönströd; Helena Löfström (MDAI, 2023)

Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers. - Ulf Johansson; Tuwe Löfström; Cecilia Sönströd (CoRR, 2023)

Calibrated Explanations for Regression. - Tuwe Löfström; Helena Löfström; Ulf Johansson; Cecilia Sönströd (CoRR, 2023)

Estimating Quality of Approximated Shapley Values Using Conformal Prediction. - Amr Alkhatib; Henrik Boström; Ulf Johansson (COPA, 2024)

Conformal Regression with Reject Option. - Ulf Johansson; Cecilia Sönströd; Henrik Boström (COPA, 2024)

Calibrated Explanations for Multi-class. - Tuwe Löfström; Helena Löfström; Ulf Johansson (COPA, 2024)

Calibrated explanations: With uncertainty information and counterfactuals. - Helena Löfström; Tuwe Löfström; Ulf Johansson; Cecilia Sönströd (Expert Syst. Appl., 2024)

Clustering Methods for the Characterization of Synchrotron Radiation X-Ray Fluorescence Images of Human Carotid Atherosclerotic Plaque. - Nathaly De La Rosa; Niccolò Peruzzi; Till Dreier; My Truong; Ulf Johansson; Sebastian Kalbfleisch; Isabel Gonçalves; Martin Bech (Adv. Intell. Syst., 2024)

Explaining Set-Valued Predictions: SHAP Analysis for Conformal Classification. - Ulf Johansson; Cecilia Sönströd; Aicha Maalej (COPA, 2025)

Counterfactual Explanations for Conformal Prediction Sets. - Aicha Maalej; Cecilia Sönströd; Ulf Johansson (COPA, 2025)

Calibrated explanations for regression. - Tuwe Löfström; Helena Löfström; Ulf Johansson; Cecilia Sönströd; Rudy Matela (Mach. Learn., 2025)

Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction. - Johan Hallberg Szabadváry; Tuwe Löfström; Ulf Johansson; Cecilia Sönströd; Ernst Ahlberg; Lars Carlsson (CoRR, 2025)