Henrik Boström

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 76

Top Venues

Publications

Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström
Can local explanation techniques explain linear additive models? Data Min. Knowl. Discov. 38 (1) (2024)
Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson
Approximating Score-based Explanation Techniques Using Conformal Regression. CoRR (2023)
Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis
Interpretable Graph Neural Networks for Tabular Data. CoRR (2023)
Niharika Gauraha, Henrik Boström
Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning. COPA (2023)
Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson
Approximating Score-based Explanation Techniques Using Conformal Regression. COPA (2023)
Tuwe Löfström, Alexander Bondaletov, Artem Ryasik, Henrik Boström, Ulf Johansson
Tutorial on using Conformal Predictive Systems in KNIME. COPA (2023)
Henrik Boström
Example-Based Explanations of Random Forest Predictions. CoRR (2023)
Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
Confidence Classifiers with Guaranteed Accuracy or Precision. COPA (2023)
Henrik Boström, Henrik Linusson, Anders Vesterberg
Mondrian Predictive Systems for Censored Data. COPA (2023)
Sofiane Ennadir, Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis
Conformalized Adversarial Attack Detection for Graph Neural Networks. COPA (2023)
Henrik Boström
crepes: a Python Package for Generating Conformal Regressors and Predictive Systems. COPA (2022)
Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
Rule extraction with guarantees from regression models. Pattern Recognit. 126 (2022)
Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis
Explaining Predictions by Characteristic Rules. ECML/PKDD (1) (2022)
Amr Alkhatib, Henrik Boström, Ulf Johansson
Assessing Explanation Quality by Venn Prediction. COPA (2022)
Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo, Lars Carlsson
Preface. COPA (2022)
Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
Image Keypoint Matching using Graph Neural Networks. CoRR (2022)
Sampath Deegalla, Keerthi Walgama, Panagiotis Papapetrou, Henrik Boström
Random subspace and random projection nearest neighbor ensembles for high dimensional data. Expert Syst. Appl. 191 (2022)
Ulf Johansson, Tuwe Löfström, Henrik Boström
Well-Calibrated and Sharp Interpretable Multi-Class Models. MDAI (2021)
Ulf Johansson, Henrik Boström, Tuwe Löfström
Investigating Normalized Conformal Regressors. SSCI (2021)
Henrik Boström, Ulf Johansson, Tuwe Löfström
Mondrian conformal predictive distributions. COPA (2021)
Negar Safinianaini, Henrik Boström
Towards interpretability of Mixtures of Hidden Markov Models. CoRR (2021)
Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström
Evaluation of updating strategies for conformal predictive systems in the presence of extreme events. COPA (2021)
Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
Image Keypoint Matching Using Graph Neural Networks. COMPLEX NETWORKS (2021)
Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström
Evaluation of Local Model-Agnostic Explanations Using Ground Truth. CoRR (2021)
Ulf Johansson, Tuwe Löfström, Henrik Boström
Calibrating multi-class models. COPA (2021)
Negar Safinianaini, Camila P. E. de Souza, Henrik Boström, Jens Lagergren
Orthogonal Mixture of Hidden Markov Models. ECML/PKDD (1) (2020)
Henrik Boström, Ulf Johansson
Mondrian conformal regressors. COPA (2020)
Hugo Werner, Lars Carlsson, Ernst Ahlberg, Henrik Boström
Evaluating different approaches to calibrating conformal predictive systems. COPA (2020)
Jing Zhao, Panagiotis Papapetrou, Lars Asker, Henrik Boström
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119]. J. Biomed. Informatics 101 (2020)
Henrik Boström, Peter Höglund, Sven-Olof Junker, Ann-Sofie Öberg, Martin Sparr
Explaining Multivariate Time Series Forecasts: An Application to Predicting the Swedish GDP. XI-ML@KI (2020)
Henrik Linusson, Ulf Johansson, Henrik Boström
Efficient conformal predictor ensembles. Neurocomputing 397 (2020)
Ricardo Aler, José María Valls, Henrik Boström
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets. Expert Syst. Appl. 149 (2020)
Linn Karlsson, Henrik Boström, Paul Zieger
Classication of aerosol particles using inductive conformal prediction. COPA (2020)
Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
Block-distributed Gradient Boosted Trees. SIGIR (2019)
Negar Safinianaini, Henrik Boström, Viktor Kaldo
Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy. AIME (2019)
Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
Block-distributed Gradient Boosted Trees. CoRR (2019)
Ulf Johansson, Tuve Löfström, Henrik Linusson, Henrik Boström
Efficient Venn predictors using random forests. Mach. Learn. 108 (3) (2019)
Ulf Johansson, Tuwe Löfström, Henrik Boström, Cecilia Sönströd
Interpretable and specialized conformal predictors. COPA (2019)
Theodore Vasiloudis, Gianmarco De Francisci Morales, Henrik Boström
Quantifying Uncertainty in Online Regression Forests. J. Mach. Learn. Res. 20 (2019)
Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, Henrik Boström
Customized Interpretable Conformal Regressors. DSAA (2019)
Amir Hossein Akhavan Rahnama, Henrik Boström
A study of data and label shift in the LIME framework. CoRR (2019)
Ulf Johansson, Tuwe Löfström, Henrik Boström
Calibrating Probability Estimation Trees using Venn-Abers Predictors. SDM (2019)
Henrik Boström, Ulf Johansson, Anders Vesterberg
Predicting with Confidence from Survival Data. COPA (2019)
Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson
Conformal and probabilistic prediction with applications: editorial. Mach. Learn. 108 (3) (2019)
Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström
Interpretable regression trees using conformal prediction. Expert Syst. Appl. 97 (2018)
Ulf Johansson, Tuwe Löfström, Håkan Sundell, Henrik Linusson, Anders Gidenstam, Henrik Boström
Venn predictors for well-calibrated probability estimation trees. COPA (2018)
Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
Classification with Reject Option Using Conformal Prediction. PAKDD (1) (2018)
Jaakko Hollmén, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Henrik Boström, Birgitta Norstedt Wikner, Inger Öhman
Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. PETRA (2018)
Ernst Ahlberg, Susanne Winiwarter, Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Norinder, Ulf Johansson, Ola Engkvist, Oscar Hammar, Claus Bendtsen, Lars Carlsson
Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery. COPA (2017)
Jing Zhao, Panagiotis Papapetrou, Lars Asker, Henrik Boström
Learning from heterogeneous temporal data in electronic health records. J. Biomed. Informatics 65 (2017)
Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
Accelerating difficulty estimation for conformal regression forests. Ann. Math. Artif. Intell. 81 (1-2) (2017)
Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström
Model-agnostic nonconformity functions for conformal classification. IJCNN (2017)
Isak Karlsson, Panagiotis Papapetrou, Lars Asker, Henrik Boström, Hans E. Persson
Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records. PETRA (2017)
Henrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou
Conformal Prediction Using Random Survival Forests. ICMLA (2017)
Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström
On the Calibration of Aggregated Conformal Predictors. COPA (2017)
Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
Evaluation of a Variance-Based Nonconformity Measure for Regression Forests. COPA (2016)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Generalized random shapelet forests. Data Min. Knowl. Discov. 30 (5) (2016)
Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
Reliable Confidence Predictions Using Conformal Prediction. PAKDD (1) (2016)
Lars Asker, Henrik Boström, Panagiotis Papapetrou, Hans E. Persson
Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study. CBMS (2016)
Isak Karlsson, Henrik Boström
Predicting Adverse Drug Events Using Heterogeneous Event Sequences. ICHI (2016)
Ram B. Gurung, Tony Lindgren, Henrik Boström
Learning Decision Trees from Histogram Data Using Multiple Subsets of Bins. FLAIRS Conference (2016)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Early Random Shapelet Forest. DS (2016)
Lars Asker, Panagiotis Papapetrou, Henrik Boström
Learning from Swedish Healthcare Data. PETRA (2016)
Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou
Clustering with Confidence: Finding Clusters with Statistical Guarantees. CoRR (2016)
Aron Henriksson, Jing Zhao, Hercules Dalianis, Henrik Boström
Ensembles of randomized trees using diverse distributed representations of clinical events. BMC Medical Informatics Decis. Mak. 16 (S-2) (2016)
Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou
GoldenEye++: A Closer Look into the Black Box. SLDS (2015)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Forests of Randomized Shapelet Trees. SLDS (2015)
Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection. DSAA (2015)
Jing Zhao, Aron Henriksson, Lars Asker, Henrik Boström
Predictive modeling of structured electronic health records for adverse drug event detection. BMC Medical Informatics Decis. Mak. (4) (2015)
Catarina Dudas, Amos H. C. Ng, Henrik Boström
Post-analysis of multi-objective optimization solutions using decision trees. Intell. Data Anal. 19 (2) (2015)
Ulf Johansson, Ernst Ahlberg, Henrik Boström, Lars Carlsson, Henrik Linusson, Cecilia Sönströd
Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors. SLDS (2015)
Jing Zhao, Aron Henriksson, Maria Kvist, Lars Asker, Henrik Boström
Handling Temporality of Clinical Events for Drug Safety Surveillance. AMIA (2015)
Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection. BIBM (2015)
Lars Carlsson, Ernst Ahlberg, Henrik Boström, Ulf Johansson, Henrik Linusson
Modifications to p-Values of Conformal Predictors. SLDS (2015)
Tuve Löfström, Henrik Boström, Henrik Linusson, Ulf Johansson
Bias reduction through conditional conformal prediction. Intell. Data Anal. 19 (6) (2015)
Jing Zhao, Aron Henriksson, Henrik Boström
Cascading adverse drug event detection in electronic health records. DSAA (2015)
Jing Zhao, Aron Henriksson, Lars Asker, Henrik Boström
Detecting adverse drug events with multiple representations of clinical measurements. BIBM (2014)
Lars Asker, Henrik Boström, Isak Karlsson, Panagiotis Papapetrou, Jing Zhao
Mining candidates for adverse drug interactions in electronic patient records. PETRA (2014)
Ulf Johansson, Cecilia Sönströd, Henrik Linusson, Henrik Boström
Regression trees for streaming data with local performance guarantees. IEEE BigData (2014)
Ulf Johansson, Rikard König, Henrik Linusson, Tuve Löfström, Henrik Boström
Rule Extraction with Guaranteed Fidelity. AIAI Workshops (2014)
Karl Jansson, Håkan Sundell, Henrik Boström
gpuRF and gpuERT: Efficient and Scalable GPU Algorithms for Decision Tree Ensembles. IPDPS Workshops (2014)
Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström
Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers. AIAI Workshops (2014)
Andreas Henelius, Kai Puolamäki, Henrik Boström, Lars Asker, Panagiotis Papapetrou
A peek into the black box: exploring classifiers by randomization. Data Min. Knowl. Discov. 28 (5-6) (2014)
Catarina Dudas, Amos H. C. Ng, Leif Pehrsson, Henrik Boström
Integration of data mining and multi-objective optimisation for decision support in production systems development. Int. J. Comput. Integr. Manuf. 27 (9) (2014)
Jing Zhao, Aron Henriksson, Henrik Boström
Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes. ICHI (2014)
Isak Karlsson, Henrik Boström
Handling Sparsity with Random Forests When Predicting Adverse Drug Events from Electronic Health Records. ICHI (2014)
Ulf Johansson, Henrik Boström, Tuve Löfström, Henrik Linusson
Regression conformal prediction with random forests. Mach. Learn. 97 (1-2) (2014)
Ulf Johansson, Rikard König, Tuve Löfström, Henrik Boström
Evolved decision trees as conformal predictors. IEEE Congress on Evolutionary Computation (2013)
Ulf Johansson, Henrik Boström, Tuve Löfström
Conformal Prediction Using Decision Trees. ICDM (2013)
Orlando P. Zacarias, Henrik Boström
Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias. ADMA (2) (2013)
Ulf Johansson, Tuve Löfström, Henrik Boström
Overproduce-and-select: The grim reality. CIEL (2013)
Tuve Löfström, Ulf Johansson, Henrik Boström
Effective utilization of data in inductive conformal prediction using ensembles of neural networks. IJCNN (2013)
Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström
Predicting Adverse Drug Events by Analyzing Electronic Patient Records. AIME (2013)
Amos H. C. Ng, Catarina Dudas, Henrik Boström, Kalyanmoy Deb
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence. LION (2013)
Ulf Johansson, Tuve Löfström, Henrik Boström
Random brains. IJCNN (2013)
Thashmee Karunaratne, Henrik Boström, Ulf Norinder
Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling. Intell. Data Anal. 17 (2) (2013)
Sampath Deegalla, Henrik Boström, Keerthi Walgama
Choice of dimensionality reduction methods for feature and classifier fusion with nearest neighbor classifiers. FUSION (2012)
Constantino Sotomane, Jordi Gallego-Ayala, Lars Asker, Henrik Boström, Venâncio Massingue
Extracting Patterns from Socioeconomic Databases to Characterize Small Farmers with High and Low Corn Yields in Mozambique: a Data Mining Approach. ICDM (Workshops) (2012)
Thashmee Karunaratne, Henrik Boström
Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data? ICMLA (1) (2012)
Ulf Norinder, Henrik Boström
Introducing Uncertainty in Predictive Modeling - Friend or Foe? J. Chem. Inf. Model. 52 (11) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Henrik Boström