Predicting Adverse Drug Events by Analyzing Electronic Patient Records. - Isak Karlsson; Jing Zhao 017; Lars Asker; Henrik Boström (AIME, 2013)

Dimensionality Reduction with Random Indexing: An Application on Adverse Drug Event Detection Using Electronic Health Records. - Isak Karlsson; Jing Zhao 017 (CBMS, 2014)

Handling Sparsity with Random Forests When Predicting Adverse Drug Events from Electronic Health Records. - Isak Karlsson; Henrik Boström (ICHI, 2014)

Mining candidates for adverse drug interactions in electronic patient records. - Lars Asker; Henrik Boström; Isak Karlsson; Panagiotis Papapetrou; Jing Zhao 017 (PETRA, 2014)

Multi-channel ECG classification using forests of randomized shapelet trees. - Isak Karlsson; Panagiotis Papapetrou; Lars Asker (PETRA, 2015)

GoldenEye++: A Closer Look into the Black Box. - Andreas Henelius; Kai Puolamäki; Isak Karlsson; Jing Zhao 017; Lars Asker; Henrik Boström; Panagiotis Papapetrou (SLDS, 2015)

Forests of Randomized Shapelet Trees. - Isak Karlsson; Panagiotis Papapetrou; Henrik Boström (SLDS, 2015)

Embedding-based subsequence matching with gaps-range-tolerances: a Query-By-Humming application. - Alexios Kotsifakos; Isak Karlsson; Panagiotis Papapetrou; Vassilis Athitsos; Dimitrios Gunopulos (VLDB J., 2015)

Early Random Shapelet Forest. - Isak Karlsson; Panagiotis Papapetrou; Henrik Boström (DS, 2016)

Predicting Adverse Drug Events Using Heterogeneous Event Sequences. - Isak Karlsson; Henrik Boström (ICHI, 2016)

Semigeometric Tiling of Event Sequences. - Andreas Henelius; Isak Karlsson; Panagiotis Papapetrou; Antti Ukkonen; Kai Puolamäki (ECML/PKDD (1), 2016)

Generalized random shapelet forests. - Isak Karlsson; Panagiotis Papapetrou; Henrik Boström (Data Min. Knowl. Discov., 2016)

Conformal Prediction Using Random Survival Forests. - Henrik Boström; Lars Asker; Ram B. Gurung; Isak Karlsson; Tony Lindgren; Panagiotis Papapetrou (ICMLA, 2017)

KAPMiner: Mining Ordered Association Rules with Constraints. - Isak Karlsson; Panagiotis Papapetrou; Lars Asker (IDA, 2017)

Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records. - Isak Karlsson; Panagiotis Papapetrou; Lars Asker; Henrik Boström; Hans E. Persson (PETRA, 2017)

Order in the random forest. - Isak Karlsson (2017)

Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. - Isak Karlsson; Jonathan Rebane; Panagiotis Papapetrou; Aristides Gionis (ICDM, 2018)

Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. - Jaakko Hollmén; Lars Asker; Isak Karlsson; Panagiotis Papapetrou; Henrik Boström; Birgitta Norstedt Wikner; Inger Öhman (PETRA, 2018)

An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction. - Jonathan Rebane; Isak Karlsson; Panagiotis Papapetrou (CBMS, 2019)

A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records. - Francesco Bagattini; Isak Karlsson; Jonathan Rebane; Panagiotis Papapetrou (BMC Medical Informatics Decis. Mak., 2019)

Locally and globally explainable time series tweaking. - Isak Karlsson; Jonathan Rebane; Panagiotis Papapetrou; Aristides Gionis (Knowl. Inf. Syst., 2020)

SMILE: a feature-based temporal abstraction framework for event-interval sequence classification. - Jonathan Rebane; Isak Karlsson; Leon Bornemann; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2021)