Henrik Boström

J. Biomed. Informatics, 2020

Efficient conformal predictor ensembles.

[BibT_eX]

[DOI]

Henrik Linusson

Neurocomputing, 2020

Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets.

[BibT_eX]

[DOI]

Ricardo Aler

José María Valls

Expert Syst. Appl., 2020

Orthogonal Mixture of Hidden Markov Models.

[BibT_eX]

[DOI]

Negar Safinianaini

Camila P. E. de Souza

Jens Lagergren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Explaining Multivariate Time Series Forecasts: An Application to Predicting the Swedish GDP.

[BibT_eX]

[DOI]

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

Evaluating different approaches to calibrating conformal predictive systems.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

Classication of aerosol particles using inductive conformal prediction.

[BibT_eX]

[DOI]

Linn Karlsson

Paul Zieger

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

Mondrian conformal regressors.

[BibT_eX]

[DOI]

Gianmarco De Francisci Morales

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019

Efficient Venn predictors using random forests.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Conformal and probabilistic prediction with applications: editorial.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Quantifying Uncertainty in Online Regression Forests.

[BibT_eX]

[DOI]

Theodore Vasiloudis

Amir Hossein Akhavan Rahnama

J. Mach. Learn. Res., 2019

A study of data and label shift in the LIME framework.

[BibT_eX]

[DOI]

CoRR, 2019

Block-distributed Gradient Boosted Trees.

[BibT_eX]

[DOI]

Theodore Vasiloudis

Hyunsu Cho

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Calibrating Probability Estimation Trees using Venn-Abers Predictors.

[BibT_eX]

[DOI]

Tuwe Löfström

Proceedings of the 2019 SIAM International Conference on Data Mining, 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

Predicting with Confidence from Survival Data.

[BibT_eX]

[DOI]

Anders Vesterberg

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.

[BibT_eX]

[DOI]

Negar Safinianaini

Viktor Kaldo

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Interpretable regression trees using conformal prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature.

[BibT_eX]

[DOI]

Jaakko Hollmén

Birgitta Norstedt Wikner

Inger Öhman

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

Classification with Reject Option Using Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Venn predictors for well-calibrated probability estimation trees.

[BibT_eX]

[DOI]

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017

Learning from heterogeneous temporal data in electronic health records.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2017

Accelerating difficulty estimation for conformal regression forests.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2017

Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records.

[BibT_eX]

[DOI]

Hans E. Persson

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Model-agnostic nonconformity functions for conformal classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Conformal Prediction Using Random Survival Forests.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

On the Calibration of Aggregated Conformal Predictors.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

2016

Ensembles of randomized trees using diverse distributed representations of clinical events.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2016

Generalized random shapelet forests.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

Clustering with Confidence: Finding Clusters with Statistical Guarantees.

[BibT_eX]

[DOI]

Andreas Henelius

Kai Puolamäki

CoRR, 2016

Learning from Swedish Healthcare Data.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016

Reliable Confidence Predictions Using Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Predicting Adverse Drug Events Using Heterogeneous Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Learning Decision Trees from Histogram Data Using Multiple Subsets of Bins.

[BibT_eX]

[DOI]

Ram B. Gurung

Tony Lindgren

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Early Random Shapelet Forest.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 19th International Conference, 2016

Evaluation of a Variance-Based Nonconformity Measure for Regression Forests.

[BibT_eX]

[DOI]

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study.

[BibT_eX]

[DOI]

Hans E. Persson

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.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., December, 2015

Bias reduction through conditional conformal prediction.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

Post-analysis of multi-objective optimization solutions using decision trees.

[BibT_eX]

[DOI]

Catarina Dudas

Amos H. C. Ng

Intell. Data Anal., 2015

Forests of Randomized Shapelet Trees.

[BibT_eX]

[DOI]

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 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

GoldenEye++: A Closer Look into the Black Box.

[BibT_eX]

[DOI]

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Modifications to p-Values of Conformal Predictors.

[BibT_eX]

[DOI]

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Cascading adverse drug event detection in electronic health records.

[BibT_eX]

[DOI]

Aron Henriksson

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Handling Temporality of Clinical Events for Drug Safety Surveillance.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

2014

Regression conformal prediction with random forests.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Integration of data mining and multi-objective optimisation for decision support in production systems development.

[BibT_eX]

[DOI]

Int. J. Comput. Integr. Manuf., 2014

A peek into the black box: exploring classifiers by randomization.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2014

Mining candidates for adverse drug interactions in electronic patient records.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014

gpuRF and gpuERT: Efficient and Scalable GPU Algorithms for Decision Tree Ensembles.

[BibT_eX]

[DOI]

Karl Jansson

Håkan Sundell

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Rule Extraction with Guaranteed Fidelity.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes.

[BibT_eX]

[DOI]

Aron Henriksson

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.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 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

Detecting adverse drug events with multiple representations of clinical measurements.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ulf Norinder

Intell. Data Anal., 2013

Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Effective utilization of data in inductive conformal prediction using ensembles of neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Random brains.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Conformal Prediction Using Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Overproduce-and-select: The grim reality.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Evolved decision trees as conformal predictors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Predicting Adverse Drug Events by Analyzing Electronic Patient Records.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2013

Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias.

[BibT_eX]

[DOI]

Orlando P. Zacarias

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

Introducing Uncertainty in Predictive Modeling - Friend or Foe?

[BibT_eX]

[DOI]

Ulf Norinder

J. Chem. Inf. Model., 2012

Forests of Probability Estimation Trees.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2012

Obtaining accurate and comprehensible classifiers using oracle coaching.

[BibT_eX]

[DOI]

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.

[BibT_eX]

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?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Keerthi Walgama

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Concurrent Learning of Large-Scale Random Forests.

[BibT_eX]

[DOI]

Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011

2010

Pin-pointing concept descriptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2010

Comparing methods for generating diverse ensembles of artificial neural networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ulf Norinder

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.

[BibT_eX]

[DOI]

Catarina Dudas

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009

Graph Propositionalization for Random Forests.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Fusion of dimensionality reduction methods: A case study in microarray classification.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

Ensemble member selection using multi-objective optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008

Chipper - A Novel Algorithm for Concept Description.

[BibT_eX]

[DOI]

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

A study on class-specifically discounted belief for ensemble classifiers.

[BibT_eX]

[DOI]

Ronnie Johansson

Alexander Karlsson

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

The problem with ranking ensembles based on training or validation performance.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 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

On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Calibrating Random Forests.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

On evidential combination rules for ensemble classifiers.

[BibT_eX]

[DOI]

Ronnie Johansson

Alexander Karlsson

Proceedings of the 11th International Conference on Information Fusion, 2008

Extending Nearest Neighbor Classification with Spheres of Confidence.

[BibT_eX]

[DOI]

Rikard König

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets.

[BibT_eX]

[DOI]

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics.

[BibT_eX]

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Estimating class probabilities in random forests.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Learning to classify structured data by graph propositionalization.

[BibT_eX]

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

2004

Resolving rule conflicts with double induction.

[BibT_eX]

[DOI]

Tony Lindgren

Intell. Data Anal., 2004

2002

Rule Induction for Classification of Gene Expression Array Data.

[BibT_eX]

[DOI]

Per Lidén

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Classification with Intersecting Rules.

[BibT_eX]

[DOI]

Tony Lindgren

Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001

Boosting interval based literals.

[BibT_eX]

[DOI]

Juan J. Rodríguez Diez

Carlos Alonso González

Intell. Data Anal., 2001

Learning to recognize brain specific proteins based on low-level features from on-line prediction servers.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

Classifying Uncovered Examples by Rule Stretching.

[BibT_eX]

[DOI]

Martin Eineborg

Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

Automatic Keyword Extraction Using Domain Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2001

2000

Learning First Order Logic Time Series Classifiers: Rules and Boosting.

[BibT_eX]

[DOI]

Juan J. Rodríguez Diez

Carlos Alonso González

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Learning First Order Logic Time Series Classifiers.

[BibT_eX]

[DOI]

Juan José Rodríguez

Carlos J. Alonso

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999

Induction of Logic Programs by Example-Guided Unfolding.

[BibT_eX]

[DOI]

Peter Idestam-Almquist

J. Log. Program., 1999

Induction of Recursive Transfer Rules.

[BibT_eX]

[DOI]

Proceedings of the Learning Language in Logic, 1999

Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998

Predicate Invention and Learning from Positive Examples Only.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-98, 1998

1997

IMPUT: An Interactive Learning Tool Based on Program Specialization.

[BibT_eX]

[DOI]

Zoltán Alexin

Tibor Gyimóthy

Intell. Data Anal., 1997

1996

Theory-Guideed Induction of Logic Programs by Inference of Regular Languages.

[BibT_eX]

Proceedings of the Machine Learning, 1996

Integrating Algorithmic Debugging and Unfolding Transformation in an Interactive Learner.

[BibT_eX]

Zoltán Alexin

Tibor Gyimóthy

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995

Covering vs. Divide-and-Conquer for Top-Down Induction of Logic Programs.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Specialization of Recursive Predicates.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-95, 1995

JIGSAW: Puzzling together RUTH and SPECTRE (Extended Abstract).

[BibT_eX]

[DOI]

Hilde Adé

Proceedings of the Machine Learning: ECML-95, 1995

1993

Improving Example-Guided Unfolding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Carl Gustaf Jansson

Peter Idestam-Almquist

Proceedings of the Third Scandinavian Conference on Artificial Intelligence, 1991

1990

Generalizing the Order of Goals as an Approach to Generalizing Number.

[BibT_eX]

[DOI]