Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000729072> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2000729072 abstract "Early classification of time series has been receiving a lot of attention as of late, particularly in the context of gene expression. In the biomédical realm, early classification can be of tremendous help, by identifying the onset of a disease before it has time to fully take hold, or determining that a treatment has done its job and can be discontinued. In this paper we present a state-of-the-art model, which we call the Early Classification Model (ECM), that allows for early, accurate, and patient-specific classification of multivariate time series. The model is comprised of an integration of the widely-used HMM and SVM models, which, while not a new technique per se, has not been used for early classification of multivariate time series classification until now. It attained very promising results on the datasets we tested it on: in our experiments based on a published dataset of response to drug therapy in Multiple Sclerosis patients, ECM used only an average of 40% of a time series and was able to outperform some of the baseline models, which needed the full time series for classification." @default.
- W2000729072 created "2016-06-24" @default.
- W2000729072 creator A5044038055 @default.
- W2000729072 creator A5057905718 @default.
- W2000729072 creator A5084402864 @default.
- W2000729072 date "2012-10-01" @default.
- W2000729072 modified "2023-10-12" @default.
- W2000729072 title "Early classification of multivariate time series using a hybrid HMM/SVM model" @default.
- W2000729072 cites W1973590682 @default.
- W2000729072 cites W2020144989 @default.
- W2000729072 cites W2040007196 @default.
- W2000729072 cites W2103453943 @default.
- W2000729072 cites W2125838338 @default.
- W2000729072 cites W2153635508 @default.
- W2000729072 cites W2156373976 @default.
- W2000729072 cites W2160091849 @default.
- W2000729072 cites W2162262128 @default.
- W2000729072 cites W2166335393 @default.
- W2000729072 doi "https://doi.org/10.1109/bibm.2012.6392654" @default.
- W2000729072 hasPublicationYear "2012" @default.
- W2000729072 type Work @default.
- W2000729072 sameAs 2000729072 @default.
- W2000729072 citedByCount "25" @default.
- W2000729072 countsByYear W20007290722013 @default.
- W2000729072 countsByYear W20007290722014 @default.
- W2000729072 countsByYear W20007290722015 @default.
- W2000729072 countsByYear W20007290722016 @default.
- W2000729072 countsByYear W20007290722017 @default.
- W2000729072 countsByYear W20007290722018 @default.
- W2000729072 countsByYear W20007290722019 @default.
- W2000729072 countsByYear W20007290722020 @default.
- W2000729072 countsByYear W20007290722021 @default.
- W2000729072 countsByYear W20007290722022 @default.
- W2000729072 crossrefType "proceedings-article" @default.
- W2000729072 hasAuthorship W2000729072A5044038055 @default.
- W2000729072 hasAuthorship W2000729072A5057905718 @default.
- W2000729072 hasAuthorship W2000729072A5084402864 @default.
- W2000729072 hasConcept C119857082 @default.
- W2000729072 hasConcept C12267149 @default.
- W2000729072 hasConcept C124101348 @default.
- W2000729072 hasConcept C143724316 @default.
- W2000729072 hasConcept C151406439 @default.
- W2000729072 hasConcept C151730666 @default.
- W2000729072 hasConcept C153180895 @default.
- W2000729072 hasConcept C154945302 @default.
- W2000729072 hasConcept C161584116 @default.
- W2000729072 hasConcept C166957645 @default.
- W2000729072 hasConcept C205649164 @default.
- W2000729072 hasConcept C23224414 @default.
- W2000729072 hasConcept C2779343474 @default.
- W2000729072 hasConcept C41008148 @default.
- W2000729072 hasConcept C86803240 @default.
- W2000729072 hasConceptScore W2000729072C119857082 @default.
- W2000729072 hasConceptScore W2000729072C12267149 @default.
- W2000729072 hasConceptScore W2000729072C124101348 @default.
- W2000729072 hasConceptScore W2000729072C143724316 @default.
- W2000729072 hasConceptScore W2000729072C151406439 @default.
- W2000729072 hasConceptScore W2000729072C151730666 @default.
- W2000729072 hasConceptScore W2000729072C153180895 @default.
- W2000729072 hasConceptScore W2000729072C154945302 @default.
- W2000729072 hasConceptScore W2000729072C161584116 @default.
- W2000729072 hasConceptScore W2000729072C166957645 @default.
- W2000729072 hasConceptScore W2000729072C205649164 @default.
- W2000729072 hasConceptScore W2000729072C23224414 @default.
- W2000729072 hasConceptScore W2000729072C2779343474 @default.
- W2000729072 hasConceptScore W2000729072C41008148 @default.
- W2000729072 hasConceptScore W2000729072C86803240 @default.
- W2000729072 hasLocation W20007290721 @default.
- W2000729072 hasOpenAccess W2000729072 @default.
- W2000729072 hasPrimaryLocation W20007290721 @default.
- W2000729072 hasRelatedWork W1550175370 @default.
- W2000729072 hasRelatedWork W1990205660 @default.
- W2000729072 hasRelatedWork W2025614924 @default.
- W2000729072 hasRelatedWork W2097963413 @default.
- W2000729072 hasRelatedWork W2118640767 @default.
- W2000729072 hasRelatedWork W2119012848 @default.
- W2000729072 hasRelatedWork W2364370872 @default.
- W2000729072 hasRelatedWork W2766774900 @default.
- W2000729072 hasRelatedWork W4387331850 @default.
- W2000729072 hasRelatedWork W2622688551 @default.
- W2000729072 isParatext "false" @default.
- W2000729072 isRetracted "false" @default.
- W2000729072 magId "2000729072" @default.
- W2000729072 workType "article" @default.