Leanna House

According to our database1, Leanna House authored at least 16 papers between 2011 and 2019.

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Bibliography

2019
SIRIUS: Dual, Symmetric, Interactive Dimension Reductions.
IEEE Trans. Vis. Comput. Graph., 2019

Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains.
IEEE Trans. Intelligent Transportation Systems, 2019

Interactive Visual Analytics for Sensemaking with Big Text.
Big Data Res., 2019

2018
Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2018

Be the Data: Embodied Visual Analytics.
TLT, 2018

Observation-Level and Parametric Interaction for High-Dimensional Data Analysis.
TiiS, 2018

The Effect of Semantic Interaction on Foraging in Text Analysis.
Proceedings of the IEEE Conference on Visual Analytics Science and Technology, 2018

2017
Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality.
Sensors, 2017

Modeling bike availability in a bike-sharing system using machine learning.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2016
Be the Data: Social Meetings with Visual Analytics.
Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, 2016

2015
Bayesian visual analytics: BaVA.
Statistical Analysis and Data Mining, 2015

Big Text Visual Analytics in Sensemaking.
Proceedings of the Big Data Visual Analytics, 2015

2014
Multi-model semantic interaction for text analytics.
Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology, 2014

2013
Semantics of Directly Manipulating Spatializations.
IEEE Trans. Vis. Comput. Graph., 2013

2011
Disaggregate route choice models based on driver learning patterns and network experience.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Observation-level interaction with statistical models for visual analytics.
Proceedings of the 2011 IEEE Conference on Visual Analytics Science and Technology, 2011


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