Rumor Source Detection With Multiple Observations Under Adaptive Diffusions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2020.3022621
Abstract: Recent work, motivated by anonymous messaging platforms, has introduced adaptive diffusion protocols which can obfuscate the source of a rumor: a “snapshot adversary” with access to the subgraph of “infected” nodes can do no better… read more here.
Keywords: source detection; detection multiple; multiple observations; source ... See more keywords
A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Health Geographics"
DOI: 10.1186/s12942-019-0189-5
Abstract: Spatial weight matrices play a key role in econometrics to capture spatial effects. However, these constructs are prone to clustering and can be challenging to analyse in common statistical packages such as STATA. Multiple observations… read more here.
Keywords: multiple observations; large health; health surveys; inverse distance ... See more keywords
Minimal Cardinality Diagnosis in Problems with Multiple Observations
Sign Up to like & getrecommendations! Published in 2021 at "Diagnostics"
DOI: 10.3390/diagnostics11050780
Abstract: Model-Based Diagnosis (MBD) is a well-known approach to diagnosis in medical domains. In this approach, the behavior of a system is modeled and used to identify faulty components, i.e., once a symptom of abnormal behavior… read more here.
Keywords: abnormal behavior; diagnosis; diagnosis problems; multiple observations ... See more keywords