Dave Shepard

Affiliations:
  • University of California Los Angeles, Center for Digital Humanities, CA, USA


According to our database1, Dave Shepard authored at least 23 papers between 2011 and 2021.

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Bibliography

2021
Analyzing temporal patterns of topic diversity using graph clustering.
J. Supercomput., 2021

Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites.
Mach. Learn. Knowl. Extr., 2021

Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Unsupervised Clustering based on Feature-value / Instance Transposition Selection.
Proceedings of the 2020 IEEE Region 10 Conference, 2020

Twitter Topic Progress Visualization using Micro-clustering.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Predictive Nonlinear Modeling by Koopman Mode Decomposition.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering.
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020

A Fast Algorithm for Unsupervised Feature Value Selection.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Unsupervised Feature Value Selection Based on Explainability.
Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020

Unsupervised Rumor Detection on Twitter using Topic Homogeneity.
Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

HANDLE: Get a Grip on MALLET.
Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Morphism-Based Learning for Structured Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Machine learning for tree structures in fake site detection.
Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019
Reading the <i>Quan Tang shi</i>: Literary History, Topic Modeling, Divergence Measures.
Digit. Humanit. Q., 2019

Time Series Topic Transition Based on Micro-Clustering.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2017
sCwc/sLcc: Highly Scalable Feature Selection Algorithms.
Inf., 2017

Missionaries, Politicians, and Boy Bands: Onlooker Behavior on Twitter During the Nepal, Kumamoto, and Ecuador Earthquakes.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

2016
Topic Extraction Method from Millions of Tweets Based on Fast Feature Selection Technique CWC.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake.
Proceedings of the 11th Annual International Conference of the Alliance of Digital Humanities Organizations, 2016

2015
Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Super-CWC and super-LCC: Super fast feature selection algorithms.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2012
A Map for the Future: Measuring Radiation Levels in Fukushima, Japan.
Proceedings of the 2012 IEEE Global Humanitarian Technology Conference, 2012

2011
Virtual Cities/Digital Histories.
Proceedings of the 6th Annual International Conference of the Alliance of Digital Humanities Organizations, 2011


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