| 68245 |
Creator |
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| authors |
_1 |
2e3fa00a07420b3ae61c47940f09e6d8 |
| 70421 |
Creator |
2e3fa00a07420b3ae61c47940f09e6d8 |
| authors |
_1 |
2e3fa00a07420b3ae61c47940f09e6d8 |
| retno-larasati |
primary topic |
2e3fa00a07420b3ae61c47940f09e6d8 |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
isRelatedTo |
explainable ai |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
isRelatedTo |
human computer trust |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
jobTitle |
PhD Research Student |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
jobTitle |
PhD Research Student |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
research overview |
Retno Larasati is first year PhD student in the Knowledge Media Institute in the Open
University. Her research interest is focused on the user interaction of explainable
AI.
Before starting her PhD, her research are around computer vision area, including handwritten
recognition and visual-only word boundary detection. She has a Master degree in Advanced
Software Engineering with Management from King's College London. |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
taggedWithTag |
explainable ai |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
taggedWithTag |
human computer trust |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
hasMembership |
kmi |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
hasMembership |
faculty-of-science,-technology,-engineering&mathematics |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
memberOf |
kmi |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
holder_of |
ResearchStudent |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
type |
Person |
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label |
Retno Larasati |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
account |
rl6554 |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
account |
https://www.linkedin.com/in/retno-larasati/ |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
depiction |
retno-larasati.jpg |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
familyName |
Larasati |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
Given name |
Retno |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
sha1sum of a personal mailbox URI name |
a27e07a0ec065a76667196fa9d18dabf809efbd8 |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
name |
Retno Larasati |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
phone |
urn:tel:+44-(0)1908-53093 |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
work info homepage |
retno-larasati |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
work info homepage |
rl6554 |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
in dataset |
oro |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
in dataset |
kmifoaf |
| 2e3fa00a07420b3ae61c47940f09e6d8 |
in dataset |
profiles |
