Kimmo Kärkkäinen

According to our database, Kimmo Kärkkäinen authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes.

Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Generative Imputation and Stochastic Prediction.

Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation.

Kimmo Kärkkäinen, Jungseock Joo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models.

Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data.

Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh

ACM Trans. Comput. Heal., 2020

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

Jungseock Joo, Kimmo Kärkkäinen

CoRR, 2020

Anxiety Detection Leveraging Mobile Passive Sensing.

Lionel M. Levine, Migyeong Gwak, Kimmo Kärkkäinen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander S. Young, Majid Sarrafzadeh

Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health, 2020

2019

Cost-Sensitive Feature-Value Acquisition Using Feature Relevance.

Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh

CoRR, 2019

Target-Focused Feature Selection Using a Bayesian Approach.

Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh

CoRR, 2019

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

Kimmo Kärkkäinen, Jungseock Joo

CoRR, 2019

Nutrition and Health Data for Cost-Sensitive Learning.

Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Davina Zamanzadeh, Majid Sarrafzadeh

CoRR, 2019

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams.

Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh

Proceedings of the 7th International Conference on Learning Representations, 2019