Kimmo Kärkkäinen

17 papers A 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Machine Learning Methods for Personalized Healthcare Kimmo Kärkkäinen
2023	—	`conf`	Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes. CHIL Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin
2022	J	`jnl`	Generative Imputation and Stochastic Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh
2021	A	`conf`	FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation. WACV Kimmo Kärkkäinen, Jungseock Joo
2021	—	`conf`	Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models. ICHI Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh
2021	J	`jnl`	Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models. CoRR Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh
2020	—	`conf`	Anxiety Detection Leveraging Mobile Passive Sensing. BODYNETS Lionel M. Levine, Migyeong Gwak, Kimmo Kärkkäinen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander S. Young, Majid Sarrafzadeh
2020	J	`jnl`	Anxiety Detection Leveraging Mobile Passive Sensing. CoRR Lionel M. Levine, Migyeong Gwak, Kimmo Kärkkäinen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander S. Young, Majid Sarrafzadeh
2020	J	`jnl`	Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation. CoRR Jungseock Joo, Kimmo Kärkkäinen
2020	J	`jnl`	Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data. ACM Trans. Comput. Heal. Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh
2019	J	`jnl`	Cost-Sensitive Feature-Value Acquisition Using Feature Relevance. CoRR Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh
2019	J	`jnl`	FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age. CoRR Kimmo Kärkkäinen, Jungseock Joo
2019	J	`jnl`	Generative Imputation and Stochastic Prediction. CoRR Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh
2019	J	`jnl`	Nutrition and Health Data for Cost-Sensitive Learning. CoRR Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Davina Zamanzadeh, Majid Sarrafzadeh
2019	—	`conf`	Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. ICLR (Poster) Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh
2019	J	`jnl`	Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. CoRR Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh
2019	J	`jnl`	Target-Focused Feature Selection Using a Bayesian Approach. CoRR Orpaz Goldstein, Mohammad Kachuee, Kimmo Kärkkäinen, Majid Sarrafzadeh