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)

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

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

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

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

On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. - Tuve Löfström; Ulf Johansson; 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)

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

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)

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

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

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)

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)

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)

Predicting Adverse Drug Events with Confidence. - Tuve Löfström; Jing Zhao 017; Henrik Linusson; Karl Jansson (SCAI, 2015)

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

On Effectively Creating Ensembles of Classifiers : Studies on Creation Strategies, Diversity and Predicting with Confidence. - Tuwe Löfström (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)

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)

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)

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

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

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

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

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

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)

NLP Cross-Domain Recognition of Retail Products. - Tobias Pettersson; Rachid Oucheikh; Tuwe Löfström (ICMLT, 2022)

Product verification using OCR classification and Mondrian conformal prediction. - Rachid Oucheikh; Tobias Pettersson; Tuwe Löfström (Expert Syst. Appl., 2022)

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

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)

Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. - Nasir Uddin; Tuwe Löfström (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)

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

Real-Time Automatic Checkout via Prompt-Based Product Extraction and Cross-Domain Learning. - Tobias Pettersson; Maria Riveiro 001; Tuwe Löfström (ICMLA, 2024)

Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty. - Helena Löfström; Tuwe Löfström (xAI (1), 2024)

Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions. - Helena Löfström; Tuwe Löfström; Johan Hallberg Szabadváry (CoRR, 2024)

Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models. - Tuwe Löfström; Fatima Rabia Yapicioglu; Alessandra Stramiglio; Helena Löfström; Fabio Vitali (CoRR, 2024)

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

Multimodal fine-grained grocery product recognition using image and OCR text. - Tobias Pettersson; Maria Riveiro 001; Tuwe Löfström (Mach. Vis. Appl., 2024)

Preface. - Harris Papadopoulos; Khuong An Nguyen; Zhiyuan Luo 001; Tuwe Löfström; Lars Carlsson; Henrik Boström (COPA, 2025)

online-cp: a Python Package for Online Conformal Prediction, Conformal Predictive Systems and Conformal Test Martingales. - Johan Hallberg Szabadváry; Tuwe Löfström; Rudy Matela (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)

Beyond conformal predictors: Adaptive Conformal Inference with confidence predictors. - Johan Hallberg Szabadváry; Tuwe Löfström (Pattern Recognit., 2026)