Isak Samsten

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Top Venues

Artif. Intell. Medicine

Publications

Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. CBMS (2024)
Isak Samsten, Zed Lee
Castor: Competing shapelets for fast and accurate time series classification. CoRR (2024)
Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou
Glacier: guided locally constrained counterfactual explanations for time series classification. Mach. Learn. 113 (7) (2024)
Zhendong Wang, Isak Samsten, Vasiliki Kougia, Panagiotis Papapetrou
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients. Artif. Intell. Medicine 135 (2023)
Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou
Counterfactual Explanations for Time Series Forecasting. CoRR (2023)
Mosleh Mahamud, Zed Lee, Isak Samsten
Distributional Data Augmentation Methods for Low Resource Language. CoRR (2023)
Mosleh Mahamud, Isak Samsten
Code quality assessment using transformers. CoRR (2023)
Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou
Counterfactual Explanations for Time Series Forecasting. ICDM (2023)
Rami Mochaourab, Arun Venkitaraman, Isak Samsten, Panagiotis Papapetrou, Cristian R. Rojas
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. IEEE Signal Process. Mag. 39 (4) (2022)
Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Natalia Semenova, Mats Danielson
Corporate governance performance ratings with machine learning. Intell. Syst. Account. Finance Manag. 29 (1) (2022)
Zhendong Wang, Isak Samsten, Panagiotis Papapetrou
Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. AIME (2021)
Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou
Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions. CBMS (2021)
Zhendong Wang, Isak Samsten, Rami Mochaourab, Panagiotis Papapetrou
Learning Time Series Counterfactuals via Latent Space Representations. DS (2021)
Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction. Artif. Intell. Medicine 109 (2020)
Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker
Example-Based Feature Tweaking Using Random Forests. IRI (2019)