Jonathan Rebane

According to our database, Jonathan Rebane authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Achieving a Data-Driven Risk Assessment Methodology for Ethical AI.

Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz

Digit. Soc., September, 2022

Learning from Complex Medical Data Sources.

Jonathan Rebane

PhD thesis, 2022

2021

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

Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions.

Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Locally and globally explainable time series tweaking.

Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis

Knowl. Inf. Syst., 2020

Exploiting complex medical data with interpretable deep learning for adverse drug event prediction.

Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou

Artif. Intell. Medicine, 2020

Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events.

Zed Lee, Jonathan Rebane, Panagiotis Papapetrou

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

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

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

Jonathan Rebane, Isak Karlsson, Panagiotis Papapetrou

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

2018

Humans Construct Survey Estimates on the Fly from a Compartmentalised Representation of the Navigated Environment.

Tobias Meilinger, Agnes Henson, Jonathan Rebane, Heinrich H. Bülthoff, Hanspeter A. Mallot

Proceedings of the Spatial Cognition XI, 2018

Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations.

Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis

Proceedings of the IEEE International Conference on Data Mining, 2018