Example-Based Feature Tweaking Using Random Forests. - Tony Lindgren; Panagiotis Papapetrou; Isak Samsten; Lars Asker (IRI, 2019)

Exploiting complex medical data with interpretable deep learning for adverse drug event prediction. - Jonathan Rebane; Isak Samsten; Panagiotis Papapetrou (Artif. Intell. Medicine, 2020)

Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. - Zhendong Wang; Isak Samsten; Panagiotis Papapetrou (AIME, 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 (CBMS, 2021)

Learning Time Series Counterfactuals via Latent Space Representations. - Zhendong Wang; Isak Samsten; Rami Mochaourab; Panagiotis Papapetrou (DS, 2021)

Corporate governance performance ratings with machine learning. - Jan Svanberg; Tohid Ardeshiri; Isak Samsten; Peter Öhman; Presha E. Neidermeyer; Tarek Rana; Natalia Semenova; Mats Danielson (Intell. Syst. Account. Finance Manag., 2022)

Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. - Rami Mochaourab; Arun Venkitaraman; Isak Samsten; Panagiotis Papapetrou; Cristian R. Rojas (IEEE Signal Process. Mag., 2022)

Counterfactual Explanations for Time Series Forecasting. - Zhendong Wang; Ioanna Miliou; Isak Samsten; Panagiotis Papapetrou (ICDM, 2023)

Distributional Data Augmentation Methods for Low Resource Language. - Mosleh Mahamud; Zed Lee; Isak Samsten (CoRR, 2023)

Code quality assessment using transformers. - Mosleh Mahamud; Isak Samsten (CoRR, 2023)

Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients. - Zhendong Wang; Isak Samsten; Vasiliki Kougia; Panagiotis Papapetrou (Artif. Intell. Medicine, 2023)

COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. - Zhendong Wang; Isak Samsten; Ioanna Miliou; Panagiotis Papapetrou (CBMS, 2024)

Castor: Competing shapelets for fast and accurate time series classification. - Isak Samsten; Zed Lee (CoRR, 2024)

Glacier: guided locally constrained counterfactual explanations for time series classification. - Zhendong Wang; Isak Samsten; Ioanna Miliou; Rami Mochaourab; Panagiotis Papapetrou (Mach. Learn., 2024)