activity
20172020
most citedFake Reviews Detection through Ensemble Learning

20 citations · 48 across the 6 of their papers we have counts for

collaborators

11 papers

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

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.SD202011 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.LG202020 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…

cs.SD2018

Psychological constraints on string-based methods for pattern discovery in polyphonic corpora

David R. W. Sears, Gerhard Widmer

Researchers often divide symbolic music corpora into contiguous sequences of n events (called n-grams) for the purposes of pattern discovery, key finding, classification, and predi…