| 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 | 277 | 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 | 184 | 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 | 125 | 2015 |
| 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 | 113 | 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 | 112 | 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 | 111 | 2011 |
| 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 | 99 | 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 | 89 | 2017 |
| Visual to parametric interaction (v2pi) SC Leman, L House, D Maiti, A Endert, C North PloS one 8 (3), e50474, 2013 | 77 | 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 | 76 | 2013 |
| 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 | 69 | 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 | 65 | 2015 |
| 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 | 64 | 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 | 62 | 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 | 61 | 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 | 46 | 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 | 40 | 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 | 38 | 2022 |
| 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 | 30 | 2017 |
| A deep learning‐based approach to forecast the onset of magnetic substorms M Maimaiti, B Kunduri, JM Ruohoniemi, JBH Baker, LL House Space weather 17 (11), 1534-1552, 2019 | 28 | 2019 |
