Leanna House
Leanna House
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Cited by
Cited by
Amphibian skin may select for rare environmental microbes
JB Walke, MH Becker, SC Loftus, LL House, G Cormier, RV Jensen, ...
The ISME journal 8 (11), 2207-2217, 2014
Observation-level interaction with statistical models for visual analytics
A Endert, C Han, D Maiti, L House, C North
2011 IEEE conference on visual analytics science and technology (VAST), 121-130, 2011
Panamanian frog species host unique skin bacterial communities
LK Belden, MC Hughey, EA Rebollar, TP Umile, SC Loftus, EA Burzynski, ...
Frontiers in microbiology 6, 1171, 2015
Classification, Clustering, and Data Mining Applications: Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of …
D Banks, L House, FR McMorris, P Arabie, WA Gaul
Springer Science & Business Media, 2011
Towards a systematic combination of dimension reduction and clustering in visual analytics
J Wenskovitch, I Crandell, N Ramakrishnan, L House, C North
IEEE transactions on visualization and computer graphics 24 (1), 131-141, 2017
Community structure and function of amphibian skin microbes: an experiment with bullfrogs exposed to a chytrid fungus
JB Walke, MH Becker, SC Loftus, LL House, TL Teotonio, KPC Minbiole, ...
PloS one 10 (10), e0139848, 2015
Multi-model semantic interaction for text analytics
L Bradel, C North, L House
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 163-172, 2014
Modeling bike availability in a bike-sharing system using machine learning
HI Ashqar, M Elhenawy, MH Almannaa, A Ghanem, HA Rakha, L House
2017 5th IEEE International Conference on Models and Technologies for …, 2017
Visual to parametric interaction (v2pi)
SC Leman, L House, D Maiti, A Endert, C North
PloS one 8 (3), e50474, 2013
Second-order exchangeability analysis for multimodel ensembles
J Rougier, M Goldstein, L House
Journal of the American Statistical Association 108 (503), 852-863, 2013
Bayesian visual analytics: Bava
L House, S Leman, C Han
Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (1), 1-13, 2015
Semantics of directly manipulating spatializations
X Hu, L Bradel, D Maiti, L House, C North
IEEE Transactions on Visualization and Computer Graphics 19 (12), 2052-2059, 2013
Accurate characterization of delay discounting: A multiple model approach using approximate Bayesian model selection and a unified discounting measure
CT Franck, MN Koffarnus, LL House, WK Bickel
Journal of the experimental analysis of behavior 103 (1), 218-233, 2015
What a Bayesian analysis can do for SLA: New tools for the sociolinguistic study of subject expression in L2 Spanish
A Gudmestad, L House, KL Geeslin
Language Learning 63 (3), 371-399, 2013
Smartphone transportation mode recognition using a hierarchical machine learning classifier and pooled features from time and frequency domains
HI Ashqar, MH Almannaa, M Elhenawy, HA Rakha, L House
IEEE Transactions on Intelligent Transportation Systems 20 (1), 244-252, 2018
SIRIUS: Dual, symmetric, interactive dimension reductions
M Dowling, J Wenskovitch, JT Fry, L House, C North
IEEE transactions on visualization and computer graphics 25 (1), 172-182, 2018
Observation-level and parametric interaction for high-dimensional data analysis
JZ Self, M Dowling, J Wenskovitch, I Crandell, M Wang, L House, ...
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (2), 1-36, 2018
Network and station-level bike-sharing system prediction: A San Francisco bay area case study
HI Ashqar, M Elhenawy, HA Rakha, M Almannaa, L House
Journal of Intelligent Transportation Systems 26 (5), 602-612, 2022
Nonparametric models for proteomic peak identification and quantification
MA Clyde, LL House, RL Wolpert
Bayesian Inference for Gene Expression and Proteomics 15, 293-308, 2006
Be the data: Embodied visual analytics
X Chen, JZ Self, L House, J Wenskovitch, M Sun, N Wycoff, JR Evia, ...
IEEE Transactions on Learning Technologies 11 (1), 81-95, 2017
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