Isak Samsten

Assistant Professor, Stockholm University

Joined

January 2023

Names

Isak Samsten (Preferred)

Emails

****@dsv.su.se (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Stockholm University (su.se)

2019 – Present

Postdoc

Stockholm University (su.se)

2017 – 2019

PhD student

Stockholm University (su.se)

2012 – 2017

MS student

Stockholm University (su.se)

2010 – 2012

Undergrad student

Stockholm University (su.se)

2007 – 2010

Advisors, Relations & Conflicts

Coauthor

Panagiotis Papapetrou

2013 – Present

PhD Advisor

Henrik Boström

2012 – 2017

Expertise

Explainability

2017 – Present

Time series classification

2014 – Present

Machine learning

2010 – Present

Publications

Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective
Rami Mochaourab, Arun Venkitaraman, Isak Samsten, Panagiotis Papapetrou, Cristian R. Rojas
- 2022 (modified: 02 Feb 2023)
- IEEE Signal Process. Mag. 2022
- Readers: Everyone
Corporate governance performance ratings with machine learning
Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Natalia Semenova, Mats Danielson
- 2022 (modified: 17 Feb 2023)
- Intell. Syst. Account. Finance Manag. 2022
- Readers: Everyone
Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients
Zhendong Wang, Isak Samsten, Panagiotis Papapetrou
- 2021 (modified: 02 Feb 2023)
- AIME 2021
- Readers: Everyone
Learning Time Series Counterfactuals via Latent Space Representations
Zhendong Wang, Isak Samsten, Rami Mochaourab, Panagiotis Papapetrou
- 2021 (modified: 02 Feb 2023)
- DS 2021
- Readers: Everyone
Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions
Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou
- 2021 (modified: 02 Feb 2023)
- CBMS 2021
- Readers: Everyone
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction
Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou
- 2020 (modified: 02 Feb 2023)
- Artif. Intell. Medicine 2020
- Readers: Everyone
Example-Based Feature Tweaking Using Random Forests
Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker
- 2019 (modified: 02 Feb 2023)
- IRI 2019
- Readers: Everyone

Isak Samsten

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective

Corporate governance performance ratings with machine learning

Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients

Learning Time Series Counterfactuals via Latent Space Representations

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

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

Example-Based Feature Tweaking Using Random Forests

Co-Authors