| Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation K Karkkainen, J Joo Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 706* | 2021 |
| Gender slopes: Counterfactual fairness for computer vision models by attribute manipulation J Joo, K Kärkkäinen Proceedings of the 2nd international workshop on fairness, accountability …, 2020 | 55 | 2020 |
| Opportunistic learning: Budgeted cost-sensitive learning from data streams M Kachuee, O Goldstein, K Karkkainen, S Darabi, M Sarrafzadeh arXiv preprint arXiv:1901.00243, 2019 | 40 | 2019 |
| Generative imputation and stochastic prediction M Kachuee, K Karkkainen, O Goldstein, S Darabi, M Sarrafzadeh IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1278-1288, 2020 | 23 | 2020 |
| Cost-sensitive diagnosis and learning leveraging public health data M Kachuee, K Karkkainen, O Goldstein, D Zamanzadeh, M Sarrafzadeh arXiv preprint arXiv:1902.07102, 2019 | 21* | 2019 |
| Target-focused feature selection using uncertainty measurements in healthcare data O Goldstein, M Kachuee, K Karkkainen, M Sarrafzadeh ACM Transactions on Computing for Healthcare 1 (3), 1-17, 2020 | 13* | 2020 |
| Anxiety detection leveraging mobile passive sensing LM Levine, M Gwak, K Kärkkäinen, S Fazeli, B Zadeh, T Peris, AS Young, ... Body Area Networks. Smart IoT and Big Data for Intelligent Health: 15th EAI …, 2020 | 7 | 2020 |
| Unsupervised acute intracranial hemorrhage segmentation with mixture models K Kärkkäinen, S Fazeli, M Sarrafzadeh 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 120-129, 2021 | 4 | 2021 |
| Analysis of smartphone text data related to mpox from a US sample of gay, bisexual, and other men who have sex with men during the 2022 outbreak CJ Cascalheira, C Hong, RM Beltran, K Karkkainen, M Beikzadeh, ... LGBT health 10 (7), 560-565, 2023 | 2 | 2023 |
| Sleep and activity prediction for type 2 diabetes management using continuous glucose monitoring K Karkkainen, GD Lyng, BL Hill, K Vodrahalli, J Hertzberg, E Halperin NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 2 | 2022 |
| Predicting demographics and motives of website users K Kärkkäinen | 2 | 2016 |
| Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes K Vodrahalli, GD Lyng, BL Hill, K Karkkainen, J Hertzberg, J Zou, ... Conference on Health, Inference, and Learning, 545-555, 2023 | 1 | 2023 |
| Cost-sensitive feature-value acquisition using feature relevance K Kärkkäinen, M Kachuee, O Goldstein, M Sarrafzadeh arXiv preprint arXiv:1912.08281, 2019 | 1 | 2019 |
| Application of personalized sensor-based risk profiles for impacts of external events GD Lyng, BL Hill, J Zou, KM Karkkainen, K Vodrahalli, E Halperin US Patent App. 18/211,988, 2024 | | 2024 |
| Processing different timescale data utilizing a model GD Lyng, E Halperin, BL Hill, KM Karkkainen, K Vodrahalli US Patent App. 18/325,598, 2024 | | 2024 |
| Machine Learning Methods for Personalized Healthcare K Karkkainen University of California, Los Angeles, 2023 | | 2023 |
| Käytettävyysarvosanan määrittäminen K Kärkkäinen | | 2013 |
