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- 2025
-
Mark
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
(2025) 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Time series anomaly detection in helpline call trends for early detection of COVID-19 spread across Sweden, 2020
- Contribution to journal › Article
-
Mark
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
(2025)
- Contribution to conference › Paper, not in proceeding
- 2024
-
Mark
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms
(2024) 34th Medical Informatics Europe Conference, MIE 2024 In Studies in Health Technology and Informatics 316. p.1916-1920
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Time-series anonymization of tabular health data using generative adversarial network
(2023) p.1-8
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Domain Knowledge-Driven Generation of Synthetic Healthcare Data
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2022
-
Mark
Improving adversarial robustness of traffic sign image recognition networks
- Contribution to journal › Article
-
Mark
Improving transferability of generated universal adversarial perturbations for image classification and segmentation
(2022) p.171-196
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2021
-
Mark
CNN adversarial attack mitigation using perturbed samples training
- Contribution to journal › Article
