Jonathan Rebane

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

Panagiotis Papapetrou, Isak Karlsson, Francesco Bagattini, 2019, BMC Medical Informatics and Decision Making.

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

Heinrich H. Bülthoff, Hanspeter A. Mallot, Tobias Meilinger, 2018, Spatial Cognition.

Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations

Panagiotis Papapetrou, Aristides Gionis, Isak Karlsson, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction

Panagiotis Papapetrou, Isak Karlsson, Jonathan Rebane, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

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

Panagiotis Papapetrou, Panteleimon Pantelidis, Jonathan Rebane, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

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

Fredrik Heintz, Stefan Larsson, Mattias Wiggberg, 2021, Digital Society.

Seq 2 Seq RNNs and ARIMA models for Cryptocurrency Prediction : A Comparative Study

Jonathan Rebane, J. Rebane, 2018 .