Trent Kyono - Concepedia

Author

Trent Kyono

University of California, Los Angeles ORCID

Also Known As

Kyono, Trent, Trent Kyono

Publications

303

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles University of Cambridge Boeing (United States)United States Air Force Research Laboratory

About

Trent Kyono is an author at University of California, Los Angeles specializing in data science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	189
2	Data Science	6	6	189
3	Computer Science	4	4	149
4	Public Health	2	2	38
5	Health Sciences	1	1	30

Trent Kyono

Publications

213

Citations

H-Index

Page 1

	Year	Citations
Improving Workflow Efficiency for Mammography Using Machine Learning Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar Journal of the American College of Radiology Image AnalysisMachine LearningData ScienceMedical ImagingPattern Recognition	2019	85
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningDiagnosis	2018	30
CASTLE: Regularization via Auxiliary Causal Graph Discovery Trent Kyono, Yao Zhang, Mihaela van der Schaar arXiv (Cornell University) EngineeringMachine LearningCausal RelationshipsCausal DagCausal Relation Extraction	2020	27
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks Boris van Breugel, Trent Kyono, Jeroen Berrevoets, arXiv (Cornell University) Artificial IntelligenceGenerative SystemEngineeringMachine LearningData Science	2021	26
Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation Trent Kyono, Mihaela van der Schaar IEEE Transactions on Artificial Intelligence	2021	14
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono, Yao Zhang, Alexis Bellot, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningImputation MethodsCausal Relation Extraction	2021	11
Machine learning for quality assessment of ground-based optical images of satellites Trent Kyono, Jacob Lucas, M. Werth, Optical Engineering	2020	10
SILO: A Machine Learning Dataset of Synthetic Ground-Based Observations of LEO Satellites M. Werth, Jacob Lucas, Trent Kyono, Earth ObservationConvolutional Neural NetworkEngineeringMachine LearningMachine Learning Dataset	2020	10

Page 1