Leanna House
Leanna House
Bestätigte E-Mail-Adresse bei vt.edu
TitelZitiert vonJahr
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
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
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
Visual to parametric interaction (v2pi)
SC Leman, L House, D Maiti, A Endert, C North
PloS one 8 (3), 2013
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), 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
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
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
Second-order exchangeability analysis for multimodel ensembles
J Rougier, M Goldstein, L House
Journal of the American Statistical Association 108 (503), 852-863, 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
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
Nonparametric models for proteomic peak identification and quantification. Bayesian Inference for Gene Expression and Proteomics
MA Clyde, LL House, RL Wolpert
Bayesian nonparametric models for peak identification in MALDI-TOF mass spectroscopy
LL House, MA Clyde, RL Wolpert
The Annals of Applied Statistics 5 (2B), 1488-1511, 2011
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
Disaggregate route choice models based on driver learning patterns and network experience
AM Tawfik, J Szarka, L House, HA Rakha
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
Be the data: A new approach for lmmersive analytics
X Chen, JZ Self, L House, C North
2016 Workshop on Immersive Analytics (IA), 32-37, 2016
Scotland Leman, and Chao Han. Bayesian visual analytics: Bava
L House
Statistical Analysis and Data Mining 8 (1), 1-13, 2015
Hydrometeorological and physicochemical drivers of fecal indicator bacteria in urban stream bottom sediments
H Liao, LAH Krometis, WC Hession, LL House, K Kline, BD Badgley
Journal of environmental quality 43 (6), 2034-2043, 2014
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