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ORCIDKimmo Kärkkäinen
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2020 – today
- 2023
[b1]Kimmo Kärkkäinen:
Machine Learning Methods for Personalized Healthcare. University of California, Los Angeles, USA, 2023- [c5]Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin:
Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes. CHIL 2023: 545-555 - 2022
- [j2]Mohammad Kachuee
, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1278-1288 (2022) - 2021
- [c4]Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh:
Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models. ICHI 2021: 120-129 - [c3]Kimmo Kärkkäinen, Jungseock Joo:
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation. WACV 2021: 1547-1557 - [i9]Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh:
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models. CoRR abs/2105.05891 (2021) - 2020
- [j1]Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh:
Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data. ACM Trans. Comput. Heal. 1(3): 15:1-15:17 (2020) - [c2]Lionel M. Levine, Migyeong Gwak, Kimmo Kärkkäinen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander S. Young, Majid Sarrafzadeh:
Anxiety Detection Leveraging Mobile Passive Sensing. BODYNETS 2020: 212-225 - [i8]Jungseock Joo, Kimmo Kärkkäinen:
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation. CoRR abs/2005.10430 (2020) - [i7]Lionel M. Levine, Migyeong Gwak, Kimmo Kärkkäinen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander S. Young, Majid Sarrafzadeh:
Anxiety Detection Leveraging Mobile Passive Sensing. CoRR abs/2008.03810 (2020)
2010 – 2019
- 2019
- [c1]Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. ICLR (Poster) 2019 - [i6]Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. CoRR abs/1901.00243 (2019) - [i5]Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Davina Zamanzadeh, Majid Sarrafzadeh:
Nutrition and Health Data for Cost-Sensitive Learning. CoRR abs/1902.07102 (2019) - [i4]Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. CoRR abs/1905.09340 (2019) - [i3]Kimmo Kärkkäinen, Jungseock Joo:
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age. CoRR abs/1908.04913 (2019) - [i2]Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh:
Target-Focused Feature Selection Using a Bayesian Approach. CoRR abs/1909.06772 (2019) - [i1]Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh:
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance. CoRR abs/1912.08281 (2019)
Coauthor Index
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