Isak Karlsson

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 18

Top Topics

Event Sequences

Top Venues

Data Min. Knowl. Discov.

Publications

Jonathan Rebane, Isak Karlsson, Leon Bornemann, Panagiotis Papapetrou
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification. Data Min. Knowl. Discov. 35 (1) (2021)
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis
Locally and globally explainable time series tweaking. Knowl. Inf. Syst. 62 (5) (2020)
Francesco Bagattini, Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Jonathan Rebane, Isak Karlsson, Panagiotis Papapetrou
An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction. CBMS (2019)
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis
Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. ICDM (2018)
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis
Explainable time series tweaking via irreversible and reversible temporal transformations. CoRR (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)
Isak Karlsson, Panagiotis Papapetrou, Lars Asker
KAPMiner: Mining Ordered Association Rules with Constraints. IDA (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)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Generalized random shapelet forests. Data Min. Knowl. Discov. 30 (5) (2016)
Isak Karlsson, Henrik Boström
Predicting Adverse Drug Events Using Heterogeneous Event Sequences. ICHI (2016)
Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
Semigeometric Tiling of Event Sequences. ECML/PKDD (1) (2016)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Early Random Shapelet Forest. DS (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)
Isak Karlsson, Panagiotis Papapetrou, Lars Asker
Multi-channel ECG classification using forests of randomized shapelet trees. PETRA (2015)
Alexios Kotsifakos, Isak Karlsson, Panagiotis Papapetrou, Vassilis Athitsos, Dimitrios Gunopulos
Embedding-based subsequence matching with gaps-range-tolerances: a Query-By-Humming application. VLDB J. 24 (4) (2015)
Lars Asker, Henrik Boström, Isak Karlsson, Panagiotis Papapetrou, Jing Zhao
Mining candidates for adverse drug interactions in electronic patient records. PETRA (2014)
Isak Karlsson, Jing Zhao
Dimensionality Reduction with Random Indexing: An Application on Adverse Drug Event Detection Using Electronic Health Records. CBMS (2014)
Isak Karlsson, Henrik Boström
Handling Sparsity with Random Forests When Predicting Adverse Drug Events from Electronic Health Records. ICHI (2014)
Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström
Predicting Adverse Drug Events by Analyzing Electronic Patient Records. AIME (2013)