Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Samantha Krening"'
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2159 (2023)
Deep learning (DL) methods have shown great promise in auto-segmentation problems. However, for head and neck cancer, we show that DL methods fail at the axial edges of the gross tumor volume (GTV) where the segmentation is dependent on information c
Externí odkaz:
https://doaj.org/article/7c64cb87bd644373a3ce14330082a6b1
Autor:
Samantha Krening
Publikováno v:
Neural Computing and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc5d80976d1b4849355acf31eb3366fb
https://doi.org/10.1007/s00521-022-08063-x
https://doi.org/10.1007/s00521-022-08063-x
Autor:
Karen M. Feigh, Samantha Krening
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62:1637-1641
A goal of interactive machine learning (IML) is to create robots or intelligent agents that can be easily taught how to perform tasks by individuals with no specialized training. To achieve that goal, researchers and designers must understand how cer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2fab5bc9c0ada5be999741e34efffc6
https://doi.org/10.1177/1541931218621371
https://doi.org/10.1177/1541931218621371
Autor:
Karen M. Feigh, Samantha Krening
Publikováno v:
ACM Transactions on Human-Robot Interaction. 7:1-22
A goal of interactive machine learning (IML) is to enable people with no specialized training to intuitively teach intelligent agents how to perform tasks. Toward achieving that goal, we are studying how the design of the interaction method for a Bay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c31139adf6c06fb478342d906071fbb5
https://doi.org/10.1145/3277904
https://doi.org/10.1145/3277904
Autor:
Karen M. Feigh, Minyue (Lanssie) Ma, Raunak P. Bhattacharyya, Yosef S. Razin, Matthew J. Miller, Samantha Krening
Publikováno v:
Theoretical Issues in Ergonomics Science. 19:389-405
Human factors practitioners (HFPs) play many different roles in the design, creation, operation and maintenance of engineered systems. Less well known are the methods which are aimed at helping with the early stages of design, which are more systems-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a30d012088e54be34c2237362cb140
https://doi.org/10.1080/1463922x.2017.1328713
https://doi.org/10.1080/1463922x.2017.1328713
Autor:
Brent Harrison, Karen M. Feigh, Samantha Krening, Andrea L. Thomaz, Mark O. Riedl, Charles L. Isbell
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 9:44-55
In order for robots to learn from people with no machine learning expertise, robots should learn from natural human instruction. Most machine learning techniques that incorporate explanations require people to use a limited vocabulary and provide sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::656ed0e042380e67e41a479a3f07da4a
https://doi.org/10.1109/tcds.2016.2628365
https://doi.org/10.1109/tcds.2016.2628365
Autor:
Karen M. Feigh, Samantha Krening
Publikováno v:
Conference on Designing Interactive Systems
A goal of interactive machine learning (IML) is to enable people with no machine learning knowledge to intuitively teach intelligent agents how to perform tasks. This study investigates how three factors of the design of an interactive reinforcement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eca303ce17c3b351d7f12cfa376f317
https://doi.org/10.1145/3322276.3322379
https://doi.org/10.1145/3322276.3322379
Autor:
Samantha Krening
Publikováno v:
AIAA Guidance, Navigation, and Control (GNC) Conference.
A major science objective of the Cassini mission is to study Saturnian satellites. The gravitational properties of each Saturnian moon is of interest not only to scientists but also to attitude control engineers. When the Cassini spacecraft flies clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c9166c544f44bab4c68a82f33f14564
https://doi.org/10.2514/6.2013-4708
https://doi.org/10.2514/6.2013-4708