Ulf Johansson

CoRR, 2023

Calibrated Explanations: with Uncertainty Information and Counterfactuals.

[BibT_eX]

[DOI]

CoRR, 2023

Conformal Prediction for Accuracy Guarantees in Classification with Reject Option.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2023

Tutorial on using Conformal Predictive Systems in KNIME.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Confidence Classifiers with Guaranteed Accuracy or Precision.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Approximating Score-based Explanation Techniques Using Conformal Regression.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Rule extraction with guarantees from regression models.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Where not to lose the puck.

[BibT_eX]

[DOI]

Erik Wilderoth

Arsalan Sattari

Proceedings of the Linköping Hockey Analytics Conference 2022 Research Track, 2022

How Analytics is Changing Ice Hockey.

[BibT_eX]

[DOI]

Erik Wilderoth

Arsalan Sattari

Proceedings of the Linköping Hockey Analytics Conference 2022 Research Track, 2022

Predicting Customer Churn in Retailing.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Tutorial for using conformal prediction in KNIME.

[BibT_eX]

[DOI]

Artem Ryasik

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Well-Calibrated Rule Extractors.

[BibT_eX]

[DOI]

Niclas Ståhl

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Preface.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Assessing Explanation Quality by Venn Prediction.

[BibT_eX]

[DOI]

Amr Alkhatib

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

A Meta Survey of Quality Evaluation Criteria in Explanation Methods.

[BibT_eX]

[DOI]

Helena Löfström

Karl Hammar

Proceedings of the Intelligent Information Systems, 2022

2021

Investigating Normalized Conformal Regressors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Well-Calibrated and Sharp Interpretable Multi-Class Models.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets.

[BibT_eX]

[DOI]

Simon Arvidsson

Proceedings of the International Joint Conference on Neural Networks, 2021

Calibrating multi-class models.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Mondrian conformal predictive distributions.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020

Efficient conformal predictor ensembles.

[BibT_eX]

[DOI]

Henrik Linusson

Neurocomputing, 2020

Well-calibrated and specialized probability estimation trees.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Mondrian conformal regressors.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019

Efficient Venn predictors using random forests.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2019

Calibrating Probability Estimation Trees using Venn-Abers Predictors.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Are Traditional Neural Networks Well-Calibrated?

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Customized Interpretable Conformal Regressors.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Interpretable and specialized conformal predictors.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Predicting with Confidence from Survival Data.

[BibT_eX]

[DOI]

Anders Vesterberg

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry.

[BibT_eX]

[DOI]

Chandadevi Giri

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Interpretable regression trees using conformal prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Classification with Reject Option Using Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Venn predictors for well-calibrated probability estimation trees.

[BibT_eX]

[DOI]

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017

Accelerating difficulty estimation for conformal regression forests.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2017

Model-agnostic nonconformity functions for conformal classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

On the Calibration of Aggregated Conformal Predictors.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Modeling Golf Player Skill Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Extraction, 2017

2016

Reliable Confidence Predictions Using Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Evaluation of a Variance-Based Nonconformity Measure for Regression Forests.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2015

Bias reduction through conditional conformal prediction.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

High-Frequency Equity Index Futures Trading Using Recurrent Reinforcement Learning with Candlesticks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors.

[BibT_eX]

[DOI]

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Modifications to p-Values of Conformal Predictors.

[BibT_eX]

[DOI]

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Efficient conformal regressors using bagged neural nets.

[BibT_eX]

[DOI]

Henrik Linusson

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Interesting Regression- and Model Trees Through Variable Restrictions.

[BibT_eX]

[DOI]

Proceedings of the KDIR 2015, 2015

Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning and Collaboration Technologies, 2015

2014

Regression conformal prediction with random forests.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Signed-Error Conformal Regression.

[BibT_eX]

[DOI]

Henrik Linusson

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Rule Extraction with Guaranteed Fidelity.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Co-evolving online high-frequency trading strategies using grammatical evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Rule extraction using genetic programming for accurate sales forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Accurate and interpretable regression trees using oracle coaching.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Regression trees for streaming data with local performance guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Effective utilization of data in inductive conformal prediction using ensembles of neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Random brains.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Conformal Prediction Using Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Evolving Hierarchical Temporal Memory-Based Trading Models.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Overproduce-and-select: The grim reality.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Evolved decision trees as conformal predictors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Obtaining accurate and comprehensible classifiers using oracle coaching.

[BibT_eX]

[DOI]

Intell. Data Anal., 2012

Producing implicit diversity in ANN ensembles.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hierarchical Temporal Memory-based algorithmic trading of financial markets.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011

Locally induced predictive models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

Evolving accurate and comprehensible classification rules.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

One tree to explain them all.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Genetically Evolved kNN Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Pin-pointing concept descriptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2010

Comparing methods for generating diverse ensembles of artificial neural networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Oracle Coached Decision Trees and Lists.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Genetic rule extraction optimizing brier score.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Using Imaginary Ensembles to Select GP Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming, 13th European Conference, 2010

Improving GP classification performance by injection of decision trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Post-processing Evolved Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Computational Intelligence, 2009

Evaluating Algorithms for Concept Description.

[BibT_eX]

Proceedings of The 2009 International Conference on Data Mining, 2009

Fish or Shark - Data Mining Online Poker.

[BibT_eX]

Proceedings of The 2009 International Conference on Data Mining, 2009

Ensemble member selection using multi-objective optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Evolving decision trees using oracle guides.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Using genetic programming to obtain implicit diversity.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Chipper - A Novel Algorithm for Concept Description.

[BibT_eX]

[DOI]

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Evaluating Standard Techniques for Implicit Diversity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

The problem with ranking ensembles based on training or validation performance.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

G-REX: A Versatile Framework for Evolutionary Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Using Genetic Programming to Increase Rule Quality.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Extending Nearest Neighbor Classification with Spheres of Confidence.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Genetic Decision Lists for Concept Description.

[BibT_eX]

Proceedings of The 2008 International Conference on Data Mining, 2008

Evolving a Locally Optimized Instance Based Learner.

[BibT_eX]

Proceedings of The 2008 International Conference on Data Mining, 2008

Increasing rule extraction accuracy by post-processing GP trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Obtaining Accurate and Comprehensible Data Mining Models: An Evolutionary Approach.

[BibT_eX]

[DOI]

PhD thesis, 2007

Concept Description - A Fresh Look.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Inconsistency - Friend or Foe.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Empirically investigating the importance of diversity.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Information Fusion, 2007

Towards a Unified View on Concept Description.

[BibT_eX]

Proceedings of the 2007 International Conference on Data Mining, 2007

Instance Ranking using Ensemble Spread.

[BibT_eX]

Proceedings of the 2007 International Conference on Data Mining, 2007

Genetic programming - a tool for flexible rule extraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Building Neural Network Ensembles using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Explaining Winning Poker--A Data Mining Approach.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Rule Extraction from Opaque Models-- A Slightly Different Perspective.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Genetically Evolved Trees Representing Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Benefits of relating the Retail Domain and Information Fusion.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Fusion, 2006

Introducing GEMS - A Novel Technique for Ensemble Creation.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

Obtaining Accurate Neural Network Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Rule Extraction by Seeing Through the Model.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Why rule extraction matters.

[BibT_eX]

Proceedings of the IASTED Conference on Software Engineering and Applications, 2004

The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003

An empirical investigation into e-business adoption in the Scottish smaller firm.

[BibT_eX]

[DOI]

Beverly A. Wagner

Ian Fillis