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20172020
most citedFake Reviews Detection through Ensemble Learning

20 citations · 72 across the 9 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SD2020

Predicting Emotions Perceived from Sounds

Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin +2

Sonification is the science of communication of data and events to users through sounds. Auditory icons, earcons, and speech are the common auditory display schemes utilized in son…

cs.CL2020★ 11 cited

Fake Reviews Detection through Analysis of Linguistic Features

Faranak Abri, Luis Felipe Gutierrez, Akbar Siami Namin +2

Online reviews play an integral part for success or failure of businesses. Prior to purchasing services or goods, customers first review the online comments submitted by previous c…

cs.CL2020

String-based methods for tonal harmony: A corpus study of Haydn's string quartets

David R. W. Sears

This chapter considers how string-based methods might be adapted to address music-analytic questions related to the discovery of musical organization, with particular attention dev…

cs.SD2020★ 11 cited

Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams

David R. W. Sears, Gerhard Widmer

Recurrent voice-leading patterns like the Mi-Re-Do compound cadence (MRDCC) rarely appear on the musical surface in complex polyphonic textures, so finding these patterns using com…

cs.LG2020★ 20 cited

Fake Reviews Detection through Ensemble Learning

Luis Gutierrez-Espinoza, Faranak Abri, Akbar Siami Namin +2

Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews. Several machine learning-based approaches can…