Ulf Johansson - RankMe

128 papers A* 1A 3B 33C 12Misc 5Journal 19Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Counterfactual Explanations for Conformal Regression Intervals. IDA Aicha Maalej, Ulf Johansson
2025	J	`jnl`	Calibrated explanations for regression. Mach. Learn. Tuwe Löfström, Helena Löfström, Ulf Johansson, Cecilia Sönströd, Rudy Matela
2025	J	`jnl`	Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction. CoRR Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd, Ernst Ahlberg, Lars Carlsson
2025	—	`conf`	Counterfactual Explanations for Conformal Prediction Sets. COPA Aicha Maalej, Cecilia Sönströd, Ulf Johansson
2025	—	`conf`	Explaining Set-Valued Predictions: SHAP Analysis for Conformal Classification. COPA Ulf Johansson, Cecilia Sönströd, Aicha Maalej
2024	—	`conf`	Calibrated Explanations for Multi-class. COPA Tuwe Löfström, Helena Löfström, Ulf Johansson
2024	J	`jnl`	Calibrated explanations: With uncertainty information and counterfactuals. Expert Syst. Appl. Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd
2024	J	`jnl`	Clustering Methods for the Characterization of Synchrotron Radiation X-Ray Fluorescence Images of Human Carotid Atherosclerotic Plaque. Adv. Intell. Syst. Nathaly De La Rosa, Niccolò Peruzzi, Till Dreier, My Truong, Ulf Johansson, Sebastian Kalbfleisch, Isabel Gonçalves, Martin Bech
2024	—	`conf`	Conformal Regression with Reject Option. COPA Ulf Johansson, Cecilia Sönströd, Henrik Boström
2024	—	`conf`	Estimating Quality of Approximated Shapley Values Using Conformal Prediction. COPA Amr Alkhatib, Henrik Boström, Ulf Johansson
2023	—	`conf`	Approximating Score-based Explanation Techniques Using Conformal Regression. COPA Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson
2023	J	`jnl`	Approximating Score-based Explanation Techniques Using Conformal Regression. CoRR Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson
2023	J	`jnl`	Calibrated Explanations for Regression. CoRR Tuwe Löfström, Helena Löfström, Ulf Johansson, Cecilia Sönströd
2023	J	`jnl`	Calibrated Explanations: with Uncertainty Information and Counterfactuals. CoRR Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd
2023	—	`conf`	Confidence Classifiers with Guaranteed Accuracy or Precision. COPA Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
2023	B	`conf`	Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. MDAI Ulf Johansson, Tuwe Löfström, Cecilia Sönströd, Helena Löfström
2023	—	`conf`	Tutorial on using Conformal Predictive Systems in KNIME. COPA Tuwe Löfström, Alexander Bondaletov, Artem Ryasik, Henrik Boström, Ulf Johansson
2023	J	`jnl`	Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers. CoRR Ulf Johansson, Tuwe Löfström, Cecilia Sönströd
2022	—	`conf`	A Meta Survey of Quality Evaluation Criteria in Explanation Methods. CAiSE Forum Helena Löfström, Karl Hammar, Ulf Johansson
2022	J	`jnl`	A Meta Survey of Quality Evaluation Criteria in Explanation Methods. CoRR Helena Löfström, Karl Hammar, Ulf Johansson
2022	—	`conf`	Assessing Explanation Quality by Venn Prediction. COPA Amr Alkhatib, Henrik Boström, Ulf Johansson
2022	—	`ed.`	Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK COPA Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo, Lars Carlsson
2022	—	`conf`	How Analytics is Changing Ice Hockey. LINHAC Ulf Johansson, Erik Wilderoth, Arsalan Sattari
2022	C	`conf`	Predicting Customer Churn in Retailing. ICMLA Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung
2022	—	`conf`	Preface. COPA Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo, Lars Carlsson
2022	J	`jnl`	Rule extraction with guarantees from regression models. Pattern Recognit. Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
2022	—	`conf`	Tutorial for using conformal prediction in KNIME. COPA Tuwe Löfström, Artem Ryasik, Ulf Johansson
2022	—	`conf`	Well-Calibrated Rule Extractors. COPA Ulf Johansson, Tuwe Löfström, Niclas Ståhl
2022	—	`conf`	Where not to lose the puck. LINHAC Erik Wilderoth, Ulf Johansson, Arsalan Sattari
2021	—	`conf`	Calibrating multi-class models. COPA Ulf Johansson, Tuwe Löfström, Henrik Boström
2021	—	`conf`	Investigating Normalized Conformal Regressors. SSCI Ulf Johansson, Henrik Boström, Tuwe Löfström
2021	—	`conf`	Mondrian conformal predictive distributions. COPA Henrik Boström, Ulf Johansson, Tuwe Löfström
2021	B	`conf`	Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets. IJCNN Simon Arvidsson, Patrick Gabrielsson, Ulf Johansson
2021	—	`conf`	The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns. MLSA@PKDD/ECML Arsalan Sattari, Ulf Johansson, Erik Wilderoth, Jasmin Jakupovic, Peter Larsson-Green
2021	B	`conf`	Well-Calibrated and Sharp Interpretable Multi-Class Models. MDAI Ulf Johansson, Tuwe Löfström, Henrik Boström
2020	J	`jnl`	Efficient conformal predictor ensembles. Neurocomputing Henrik Linusson, Ulf Johansson, Henrik Boström
2020	—	`conf`	Mondrian conformal regressors. COPA Henrik Boström, Ulf Johansson
2020	A	`conf`	Well-calibrated and specialized probability estimation trees. SDM Ulf Johansson, Tuwe Löfström
2019	J	`jnl`	Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors. J. Chem. Inf. Model. Rubén Buendía, Thierry Kogej, Ola Engkvist, Lars Carlsson, Henrik Linusson, Ulf Johansson, Paolo Toccaceli, Ernst Ahlberg
2019	B	`conf`	Are Traditional Neural Networks Well-Calibrated? IJCNN Ulf Johansson, Patrick Gabrielsson
2019	A	`conf`	Calibrating Probability Estimation Trees using Venn-Abers Predictors. SDM Ulf Johansson, Tuwe Löfström, Henrik Boström
2019	B	`conf`	Customized Interpretable Conformal Regressors. DSAA Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
2019	J	`jnl`	Efficient Venn predictors using random forests. Mach. Learn. Ulf Johansson, Tuve Löfström, Henrik Linusson, Henrik Boström
2019	—	`conf`	Interpretable and specialized conformal predictors. COPA Ulf Johansson, Tuwe Löfström, Henrik Boström, Cecilia Sönströd
2019	—	`conf`	Predicting with Confidence from Survival Data. COPA Henrik Boström, Ulf Johansson, Anders Vesterberg
2019	—	`conf`	Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry. IEEE BigData Chandadevi Giri, Ulf Johansson, Tuwe Löfström
2018	—	`conf`	Classification with Reject Option Using Conformal Prediction. PAKDD (1) Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
2018	J	`jnl`	Interpretable regression trees using conformal prediction. Expert Syst. Appl. Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström
2018	—	`conf`	Venn predictors for well-calibrated probability estimation trees. COPA Ulf Johansson, Tuwe Löfström, Håkan Sundell, Henrik Linusson, Anders Gidenstam, Henrik Boström
2017	J	`jnl`	Accelerating difficulty estimation for conformal regression forests. Ann. Math. Artif. Intell. Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
2017	B	`conf`	Model-agnostic nonconformity functions for conformal classification. IJCNN Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström
2017	C	`conf`	Modeling Golf Player Skill Using Machine Learning. CD-MAKE Rikard König, Ulf Johansson, Maria Riveiro, Peter Brattberg
2017	—	`conf`	On the Calibration of Aggregated Conformal Predictors. COPA Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström
2017	—	`conf`	Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery. COPA Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder, Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson
2016	—	`conf`	Evaluation of a Variance-Based Nonconformity Measure for Regression Forests. COPA Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
2016	—	`conf`	Reliable Confidence Predictions Using Conformal Prediction. PAKDD (1) Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
2015	J	`jnl`	Bias reduction through conditional conformal prediction. Intell. Data Anal. Tuve Löfström, Henrik Boström, Henrik Linusson, Ulf Johansson
2015	B	`conf`	Efficient conformal regressors using bagged neural nets. IJCNN Ulf Johansson, Cecilia Sönströd, Henrik Linusson
2015	—	`conf`	Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors. SLDS Ulf Johansson, Ernst Ahlberg, Henrik Boström, Lars Carlsson, Henrik Linusson, Cecilia Sönströd
2015	—	`conf`	High-Frequency Equity Index Futures Trading Using Recurrent Reinforcement Learning with Candlesticks. SSCI Patrick Gabrielsson, Ulf Johansson
2015	—	`conf`	Interesting Regression- and Model Trees Through Variable Restrictions. KDIR Rikard König, Ulf Johansson, Ann Lindqvist, Peter Brattberg
2015	—	`conf`	Modifications to p-Values of Conformal Predictors. SLDS Lars Carlsson, Ernst Ahlberg, Henrik Boström, Ulf Johansson, Henrik Linusson
2015	—	`conf`	Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems. HCI (24) Maria Riveiro, Anders Dahlbom, Rikard König, Ulf Johansson, Peter Brattberg
2014	C	`conf`	Accurate and interpretable regression trees using oracle coaching. CIDM Ulf Johansson, Cecilia Sönströd, Rikard König
2014	—	`conf`	Co-evolving online high-frequency trading strategies using grammatical evolution. CIFEr Patrick Gabrielsson, Ulf Johansson, Rikard König
2014	—	`conf`	Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers. AIAI (Workshops) Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
2014	J	`jnl`	Regression conformal prediction with random forests. Mach. Learn. Ulf Johansson, Henrik Boström, Tuve Löfström, Henrik Linusson
2014	—	`conf`	Regression trees for streaming data with local performance guarantees. IEEE BigData Ulf Johansson, Cecilia Sönströd, Henrik Linusson, Henrik Boström
2014	—	`conf`	Rule Extraction with Guaranteed Fidelity. AIAI (Workshops) Ulf Johansson, Rikard König, Henrik Linusson, Tuve Löfström, Henrik Boström
2014	C	`conf`	Rule extraction using genetic programming for accurate sales forecasting. CIDM Rikard König, Ulf Johansson
2014	—	`conf`	Signed-Error Conformal Regression. PAKDD (1) Henrik Linusson, Ulf Johansson, Tuve Löfström
2013	A*	`conf`	Conformal Prediction Using Decision Trees. ICDM Ulf Johansson, Henrik Boström, Tuve Löfström
2013	B	`conf`	Effective utilization of data in inductive conformal prediction using ensembles of neural networks. IJCNN Tuve Löfström, Ulf Johansson, Henrik Boström
2013	B	`conf`	Evolved decision trees as conformal predictors. IEEE Congress on Evolutionary Computation Ulf Johansson, Rikard König, Tuve Löfström, Henrik Boström
2013	B	`conf`	Evolving Hierarchical Temporal Memory-Based Trading Models. EvoApplications Patrick Gabrielsson, Rikard König, Ulf Johansson
2013	—	`conf`	Overproduce-and-select: The grim reality. CIEL Ulf Johansson, Tuve Löfström, Henrik Boström
2013	B	`conf`	Random brains. IJCNN Ulf Johansson, Tuve Löfström, Henrik Boström
2012	—	`conf`	Hierarchical Temporal Memory-based algorithmic trading of financial markets. CIFEr Patrick Gabrielsson, Rikard König, Ulf Johansson
2012	J	`jnl`	Obtaining accurate and comprehensible classifiers using oracle coaching. Intell. Data Anal. Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Henrik Boström
2012	B	`conf`	Producing implicit diversity in ANN ensembles. IJCNN Ulf Johansson, Tuve Löfström
2011	B	`conf`	Evolving accurate and comprehensible classification rules. IEEE Congress on Evolutionary Computation Cecilia Sönströd, Ulf Johansson, Rikard König
2011	B	`conf`	Locally induced predictive models. SMC Ulf Johansson, Tuve Löfström, Cecilia Sönströd
2011	B	`conf`	One tree to explain them all. IEEE Congress on Evolutionary Computation Ulf Johansson, Cecilia Sönströd, Tuve Löfström
2010	B	`conf`	Comparing methods for generating diverse ensembles of artificial neural networks. IJCNN Tuve Löfström, Ulf Johansson, Henrik Boström
2010	A	`conf`	Genetic rule extraction optimizing brier score. GECCO Ulf Johansson, Rikard König, Lars Niklasson
2010	—	`ch.`	Genetically Evolved kNN Ensembles. Data Mining Ulf Johansson, Rikard König, Lars Niklasson
2010	B	`conf`	Improving GP classification performance by injection of decision trees. IEEE Congress on Evolutionary Computation Rikard König, Ulf Johansson, Tuve Löfström, Lars Niklasson
2010	B	`conf`	Oracle Coached Decision Trees and Lists. IDA Ulf Johansson, Cecilia Sönströd, Tuve Löfström
2010	B	`conf`	Pin-pointing concept descriptions. SMC Cecilia Sönströd, Ulf Johansson, Henrik Boström, Ulf Norinder
2010	B	`conf`	Using Imaginary Ensembles to Select GP Classifiers. EuroGP Ulf Johansson, Rikard König, Tuve Löfström, Lars Niklasson
2009	C	`conf`	Ensemble member selection using multi-objective optimization. CIDM Tuve Löfström, Ulf Johansson, Henrik Boström
2009	—	`conf`	Evaluating Algorithms for Concept Description. DMIN Cecilia Sönströd, Ulf Johansson, Tuve Löfström
2009	C	`conf`	Evolving decision trees using oracle guides. CIDM Ulf Johansson, Lars Niklasson
2009	—	`conf`	Fish or Shark - Data Mining Online Poker. DMIN Ulf Johansson, Cecilia Sönströd
2009	—	`ch.`	Post-processing Evolved Decision Trees. Foundations of Computational Intelligence (4) Ulf Johansson, Rikard König, Tuve Löfström, Cecilia Sönströd, Lars Niklasson
2009	B	`conf`	Using genetic programming to obtain implicit diversity. IEEE Congress on Evolutionary Computation Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Rikard König
2008	—	`conf`	Chipper - A Novel Algorithm for Concept Description. SCAI Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Henrik Boström
2008	C	`conf`	Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes. ICMLA Cecilia Sönströd, Ulf Johansson, Ulf Norinder, Henrik Boström
2008	B	`conf`	Evaluating Standard Techniques for Implicit Diversity. PAKDD Ulf Johansson, Tuve Löfström, Lars Niklasson
2008	—	`conf`	Evolving a Locally Optimized Instance Based Learner. DMIN Ulf Johansson, Rikard König, Lars Niklasson
2008	Misc	`conf`	Extending Nearest Neighbor Classification with Spheres of Confidence. FLAIRS Ulf Johansson, Henrik Boström, Rikard König
2008	—	`conf`	G-REX: A Versatile Framework for Evolutionary Data Mining. ICDM Workshops Rikard König, Ulf Johansson, Lars Niklasson
2008	—	`conf`	Genetic Decision Lists for Concept Description. DMIN Cecilia Sönströd, Ulf Johansson, Rikard König, Lars Niklasson
2008	B	`conf`	Increasing rule extraction accuracy by post-processing GP trees. IEEE Congress on Evolutionary Computation Ulf Johansson, Rikard König, Tuve Löfström, Lars Niklasson
2008	C	`conf`	On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. ICMLA Tuve Löfström, Ulf Johansson, Henrik Boström
2008	B	`conf`	The problem with ranking ensembles based on training or validation performance. IJCNN Ulf Johansson, Tuve Löfström, Henrik Boström
2008	Misc	`conf`	Using Genetic Programming to Increase Rule Quality. FLAIRS Rikard König, Ulf Johansson, Lars Niklasson
2007	B	`conf`	Concept Description - A Fresh Look. IJCNN Cecilia Sönströd, Ulf Johansson
2007	C	`conf`	Empirically investigating the importance of diversity. FUSION Tuve Löfström, Ulf Johansson, Lars Niklasson
2007	B	`conf`	Genetic programming - a tool for flexible rule extraction. IEEE Congress on Evolutionary Computation Rikard König, Ulf Johansson, Lars Niklasson
2007	B	`conf`	Inconsistency - Friend or Foe. IJCNN Ulf Johansson, Rikard König, Lars Niklasson
2007	—	`conf`	Instance Ranking using Ensemble Spread. DMIN Rikard König, Ulf Johansson, Lars Niklasson
2007	—	`—`	Obtaining Accurate and Comprehensible Data Mining Models: An Evolutionary Approach. Ulf Johansson
2007	B	`conf`	The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. IJCNN Ulf Johansson, Tuve Löfström, Lars Niklasson
2007	—	`conf`	Towards a Unified View on Concept Description. DMIN Cecilia Sönströd, Ulf Johansson, Rikard König
2006	C	`conf`	Benefits of relating the Retail Domain and Information Fusion. FUSION Tuve Löfström, Rikard König, Ulf Johansson, Lars Niklasson, Mattias Strand, Tom Ziemke
2006	B	`conf`	Building Neural Network Ensembles using Genetic Programming. IJCNN Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
2006	C	`conf`	Explaining Winning Poker--A Data Mining Approach. ICMLA Ulf Johansson, Cecilia Sönströd, Lars Niklasson
2006	Misc	`conf`	Genetically Evolved Trees Representing Ensembles. ICAISC Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
2006	Misc	`conf`	Introducing GEMS - A Novel Technique for Ensemble Creation. FLAIRS Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
2006	C	`conf`	Rule Extraction from Opaque Models-- A Slightly Different Perspective. ICMLA Ulf Johansson, Tuve Löfström, Rikard König, Cecilia Sönströd, Lars Niklasson
2005	—	`conf`	Obtaining Accurate Neural Network Ensembles. CIMCA/IAWTIC Ulf Johansson, Tuve Löfström, Lars Niklasson
2004	B	`conf`	Rule Extraction by Seeing Through the Model. ICONIP Tuve Löfström, Ulf Johansson, Lars Niklasson
2004	Misc	`conf`	The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming. FLAIRS Ulf Johansson, Rikard König, Lars Niklasson
2004	—	`conf`	Why rule extraction matters. IASTED Conf. on Software Engineering and Applications Ulf Johansson, Cecilia Sönströd, Lars Niklasson
2003	J	`jnl`	An empirical investigation into e-business adoption in the Scottish smaller firm. Int. J. Electron. Bus. Beverly A. Wagner, Ian Fillis, Ulf Johansson
2003	B	`conf`	Neural networks and rule extraction for prediction and explanation in the marketing domain. IJCNN Ulf Johansson, Cecilia Sönströd, Rikard König, Lars Niklasson
2003	B	`conf`	Neural networks mine for gold at the greyhound racetrack. IJCNN Ulf Johansson, Cecilia Sönströd