Henrik Boström
Orcid: 0000-0001-8382-0300Affiliations:
- Stockholm University
According to our database1,
Henrik Boström
authored at least 147 papers
between 1990 and 2024.
Collaborative distances:
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Bibliography
2024
Data Min. Knowl. Discov., January, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
Proceedings of the Complex Networks & Their Applications XII, 2023
2022
Random subspace and random projection nearest neighbor ensembles for high dimensional data.
Expert Syst. Appl., 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022
2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021
Evaluation of updating strategies for conformal predictive systems in the presence of extreme events.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021
2020
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119].
J. Biomed. Informatics, 2020
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets.
Expert Syst. Appl., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Explaining Multivariate Time Series Forecasts: An Application to Predicting the Swedish GDP.
Proceedings of the First International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2020) co-located with the 43rd German Conference on Artificial Intelligence (KI 2020), 2020
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020
2019
Mach. Learn., 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019
Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy.
Proceedings of the Artificial Intelligence in Medicine, 2019
2018
Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature.
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018
2017
J. Biomed. Informatics, 2017
Ann. Math. Artif. Intell., 2017
Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017
2016
Ensembles of randomized trees using diverse distributed representations of clinical events.
BMC Medical Informatics Decis. Mak., 2016
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016
Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
2015
Predictive modeling of structured electronic health records for adverse drug event detection.
BMC Medical Informatics Decis. Mak., December, 2015
Intell. Data Anal., 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the AMIA 2015, 2015
2014
Integration of data mining and multi-objective optimisation for decision support in production systems development.
Int. J. Comput. Integr. Manuf., 2014
Data Min. Knowl. Discov., 2014
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Proceedings of the Artificial Intelligence Applications and Innovations, 2014
Proceedings of the Artificial Intelligence Applications and Innovations, 2014
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014
Handling Sparsity with Random Forests When Predicting Adverse Drug Events from Electronic Health Records.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Detecting adverse drug events with multiple representations of clinical measurements.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling.
Intell. Data Anal., 2013
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
Effective utilization of data in inductive conformal prediction using ensembles of neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Artificial Intelligence in Medicine, 2013
Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
2012
J. Chem. Inf. Model., 2012
Int. J. Pattern Recognit. Artif. Intell., 2012
Intell. Data Anal., 2012
Extracting Patterns from Socioeconomic Databases to Characterize Small Farmers with High and Low Corn Yields in Mozambique: a Data Mining Approach.
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012
Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data?
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Choice of dimensionality reduction methods for feature and classifier fusion with nearest neighbor classifiers.
Proceedings of the 15th International Conference on Information Fusion, 2012
2011
Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011
2010
Proceedings of the IEEE International Conference on Systems, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Using uncertain chemical and thermal data to predict product quality in a casting process.
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2009
Fusion of dimensionality reduction methods: A case study in microarray classification.
Proceedings of the 12th International Conference on Information Fusion, 2009
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
2008
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes.
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.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the 11th International Conference on Information Fusion, 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007
Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Feature vs. classifier fusion for predictive data mining a case study in pesticide classification.
Proceedings of the 10th International Conference on Information Fusion, 2007
2006
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006
Learning to classify structured data by graph propositionalization.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006
2004
2002
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002
2001
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers.
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2001
2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000
1999
Proceedings of the Learning Language in Logic, 1999
Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999
1998
Proceedings of the Machine Learning: ECML-98, 1998
1997
Intell. Data Anal., 1997
1996
Theory-Guideed Induction of Logic Programs by Inference of Regular Languages.
Proceedings of the Machine Learning, 1996
Integrating Algorithmic Debugging and Unfolding Transformation in an Interactive Learner.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996
1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
Proceedings of the Machine Learning: ECML-95, 1995
Proceedings of the Machine Learning: ECML-95, 1995
1993
Proceedings of the Machine Learning: ECML-93, 1993
1991
Optimizing Horn Clause Logic Programs for Particular Modes of Use: An Analysis of Explanation-Based Learning and Partial Evaluation.
Proceedings of the Third Scandinavian Conference on Artificial Intelligence, 1991
1990
Proceedings of the Machine Learning, 1990