Kimmo Kärkkäinen

Orcid: 0000-0002-5188-9191

According to our database1, Kimmo Kärkkäinen authored at least 13 papers between 2019 and 2023.

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Bibliography

2023
Machine Learning Methods for Personalized Healthcare
PhD thesis, 2023

Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes.
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
Generative Imputation and Stochastic Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020
Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data.
ACM Trans. Comput. Heal., 2020

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation.
CoRR, 2020

Anxiety Detection Leveraging Mobile Passive Sensing.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health, 2020

2019
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance.
CoRR, 2019

Target-Focused Feature Selection Using a Bayesian Approach.
CoRR, 2019

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age.
CoRR, 2019

Nutrition and Health Data for Cost-Sensitive Learning.
CoRR, 2019

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams.
Proceedings of the 7th International Conference on Learning Representations, 2019


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