Cecilia Sönströd

Tuwe Löfström

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

Confidence Classifiers with Guaranteed Accuracy or Precision.

[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

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

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

Efficient conformal regressors using bagged neural nets.

[BibT_eX]

[DOI]

Henrik Linusson

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

2014

Accurate and interpretable regression trees using oracle coaching.

[BibT_eX]

[DOI]

Rikard König

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

2012

Obtaining accurate and comprehensible classifiers using oracle coaching.

[BibT_eX]

[DOI]

Intell. Data Anal., 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]

Rikard König

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

Pin-pointing concept descriptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2010

Oracle Coached Decision Trees and Lists.

[BibT_eX]

[DOI]

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

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

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

Genetic Decision Lists for Concept Description.

[BibT_eX]

Proceedings of The 2008 International Conference on Data Mining, 2008

2007

Concept Description - A Fresh Look.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Towards a Unified View on Concept Description.

[BibT_eX]

Rikard König

Proceedings of the 2007 International Conference on Data Mining, 2007

2006

Explaining Winning Poker--A Data Mining Approach.

[BibT_eX]

[DOI]

Lars Niklasson

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

2004

Why rule extraction matters.

[BibT_eX]