David R. W. Sears

Affiliations:
  • Texas Tech University, College of Visual and Performing Arts, Lubbock, TX, USA


According to our database1, David R. W. Sears authored at least 13 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Fake Reviews Detection through Analysis of Linguistic Features.
CoRR, 2020

String-based methods for tonal harmony: A corpus study of Haydn's string quartets.
CoRR, 2020

Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams.
CoRR, 2020

Fake Reviews Detection through Ensemble Learning.
CoRR, 2020

Linguistic Features for Detecting Fake Reviews.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Ensemble Learning for Detecting Fake Reviews.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Predicting Emotions Perceived from Sounds.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018
Psychological constraints on string-based methods for pattern discovery in polyphonic corpora.
CoRR, 2018

Evaluating Language Models of Tonal Harmony.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Large-Scale Study of Language Models for Chord Prediction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music.
CoRR, 2017

Modeling Harmony with Skip-Grams.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Automatic Estimation of Harmonic Tension by Distributed Representation of Chords.
Proceedings of the Music Technology with Swing - 13th International Symposium, 2017


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