FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3088179043> ?p ?o ?g. }

• W3088179043 endingPage "4863" @default.
• W3088179043 startingPage "4855" @default.
• W3088179043 abstract "Forecasting influenza in a timely manner aids health organizations and policymakers in adequate preparation and decision making. However, effective influenza forecasting still remains a challenge despite increasing research interest. It is even more challenging amidst the COVID pandemic, when the influenza-like illness (ILI) counts are affected by various factors such as symptomatic similarities with COVID-19 and shift in healthcare seeking patterns of the general population. Under the current pandemic, historical influenza models carry valuable expertise about the disease dynamics but face difficulties adapting. Therefore, we propose CALI-Net, a neural transfer learning architecture which allows us to 'steer' a historical disease forecasting model to new scenarios where flu and COVID co-exist. Our framework enables this adaptation by automatically learning when it should emphasize learning from COVID-related signals and when it should learn from the historical model. Thus, we exploit representations learned from historical ILI data as well as the limited COVID-related signals. Our experiments demonstrate that our approach is successful in adapting a historical forecasting model to the current pandemic. In addition, we show that success in our primary goal, adaptation, does not sacrifice overall performance as compared with state-of-the-art influenza forecasting approaches." @default.
• W3088179043 created "2020-10-01" @default.
• W3088179043 creator A5035052603 @default.
• W3088179043 creator A5052463345 @default.
• W3088179043 creator A5061110232 @default.
• W3088179043 creator A5067521241 @default.
• W3088179043 creator A5074615163 @default.
• W3088179043 creator A5080258482 @default.
• W3088179043 date "2021-05-18" @default.
• W3088179043 modified "2023-10-05" @default.
• W3088179043 title "Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19" @default.
• W3088179043 cites W1491300635 @default.
• W3088179043 cites W1650635506 @default.
• W3088179043 cites W1821462560 @default.
• W3088179043 cites W2006218290 @default.
• W3088179043 cites W2064675550 @default.
• W3088179043 cites W2110242546 @default.
• W3088179043 cites W2117239687 @default.
• W3088179043 cites W2134797427 @default.
• W3088179043 cites W2139188905 @default.
• W3088179043 cites W2143469080 @default.
• W3088179043 cites W2151485425 @default.
• W3088179043 cites W2153749443 @default.
• W3088179043 cites W2157331557 @default.
• W3088179043 cites W2160077285 @default.
• W3088179043 cites W2172064003 @default.
• W3088179043 cites W2199158930 @default.
• W3088179043 cites W2238265222 @default.
• W3088179043 cites W2397220982 @default.
• W3088179043 cites W2407072560 @default.
• W3088179043 cites W2486241280 @default.
• W3088179043 cites W2572939427 @default.
• W3088179043 cites W2604617820 @default.
• W3088179043 cites W2740100794 @default.
• W3088179043 cites W2755746910 @default.
• W3088179043 cites W2772780441 @default.
• W3088179043 cites W2790659171 @default.
• W3088179043 cites W2798058877 @default.
• W3088179043 cites W2807817751 @default.
• W3088179043 cites W2808408933 @default.
• W3088179043 cites W2904255843 @default.
• W3088179043 cites W2909758842 @default.
• W3088179043 cites W2918770662 @default.
• W3088179043 cites W2953101261 @default.
• W3088179043 cites W2953231487 @default.
• W3088179043 cites W2965100203 @default.
• W3088179043 cites W2965118797 @default.
• W3088179043 cites W2966076119 @default.
• W3088179043 cites W3025750917 @default.
• W3088179043 cites W3081030157 @default.
• W3088179043 cites W3091413779 @default.
• W3088179043 cites W3092019380 @default.
• W3088179043 cites W3214184482 @default.
• W3088179043 cites W2114001875 @default.
• W3088179043 doi "https://doi.org/10.1609/aaai.v35i6.16618" @default.
• W3088179043 hasPublicationYear "2021" @default.
• W3088179043 type Work @default.
• W3088179043 sameAs 3088179043 @default.
• W3088179043 citedByCount "6" @default.
• W3088179043 countsByYear W30881790432022 @default.
• W3088179043 countsByYear W30881790432023 @default.
• W3088179043 crossrefType "journal-article" @default.
• W3088179043 hasAuthorship W3088179043A5035052603 @default.
• W3088179043 hasAuthorship W3088179043A5052463345 @default.
• W3088179043 hasAuthorship W3088179043A5061110232 @default.
• W3088179043 hasAuthorship W3088179043A5067521241 @default.
• W3088179043 hasAuthorship W3088179043A5074615163 @default.
• W3088179043 hasAuthorship W3088179043A5080258482 @default.
• W3088179043 hasBestOaLocation W30881790431 @default.
• W3088179043 hasConcept C139807058 @default.
• W3088179043 hasConcept C142724271 @default.
• W3088179043 hasConcept C154945302 @default.
• W3088179043 hasConcept C15744967 @default.
• W3088179043 hasConcept C165696696 @default.
• W3088179043 hasConcept C169760540 @default.
• W3088179043 hasConcept C2522767166 @default.
• W3088179043 hasConcept C2779134260 @default.
• W3088179043 hasConcept C2908647359 @default.
• W3088179043 hasConcept C3008058167 @default.
• W3088179043 hasConcept C38652104 @default.
• W3088179043 hasConcept C41008148 @default.
• W3088179043 hasConcept C524204448 @default.
• W3088179043 hasConcept C71924100 @default.
• W3088179043 hasConcept C89623803 @default.
• W3088179043 hasConcept C99454951 @default.
• W3088179043 hasConceptScore W3088179043C139807058 @default.
• W3088179043 hasConceptScore W3088179043C142724271 @default.
• W3088179043 hasConceptScore W3088179043C154945302 @default.
• W3088179043 hasConceptScore W3088179043C15744967 @default.
• W3088179043 hasConceptScore W3088179043C165696696 @default.
• W3088179043 hasConceptScore W3088179043C169760540 @default.
• W3088179043 hasConceptScore W3088179043C2522767166 @default.
• W3088179043 hasConceptScore W3088179043C2779134260 @default.
• W3088179043 hasConceptScore W3088179043C2908647359 @default.
• W3088179043 hasConceptScore W3088179043C3008058167 @default.
• W3088179043 hasConceptScore W3088179043C38652104 @default.
• W3088179043 hasConceptScore W3088179043C41008148 @default.
• W3088179043 hasConceptScore W3088179043C524204448 @default.

• next