Isak Karlsson

Leon Bornemann

Data Min. Knowl. Discov., 2021

2020

Locally and globally explainable time series tweaking.

[BibT_eX]

[DOI]

Aristides Gionis

Knowl. Inf. Syst., 2020

2019

A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records.

[BibT_eX]

[DOI]

Francesco Bagattini

BMC Medical Informatics Decis. Mak., 2019

An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

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

Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations.

[BibT_eX]

[DOI]

Aristides Gionis

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Order in the random forest.

[BibT_eX]

[DOI]

PhD thesis, 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

KAPMiner: Mining Ordered Association Rules with Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Conformal Prediction Using Random Survival Forests.

[BibT_eX]

[DOI]

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

2016

Generalized random shapelet forests.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

Semigeometric Tiling of Event Sequences.

[BibT_eX]

[DOI]

Andreas Henelius

Antti Ukkonen

Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Predicting Adverse Drug Events Using Heterogeneous Event Sequences.

[BibT_eX]

[DOI]

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

Early Random Shapelet Forest.

[BibT_eX]

[DOI]

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

2015

Embedding-based subsequence matching with gaps-range-tolerances: a Query-By-Humming application.

[BibT_eX]

[DOI]

Alexios Kotsifakos

Vassilis Athitsos

Dimitrios Gunopulos

VLDB J., 2015

Forests of Randomized Shapelet Trees.

[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

Multi-channel ECG classification using forests of randomized shapelet trees.

[BibT_eX]

[DOI]

Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

2014

Mining candidates for adverse drug interactions in electronic patient records.

[BibT_eX]

[DOI]

Jing Zhao

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

Dimensionality Reduction with Random Indexing: An Application on Adverse Drug Event Detection Using Electronic Health Records.

[BibT_eX]

[DOI]