April Morton
Cited by
Cited by
A privacy-preserving framework for large-scale content-based information retrieval
L Weng, L Amsaleg, A Morton, S Marchand-Maillet
IEEE Transactions on Information Forensics and Security 10 (1), 152-167, 2014
Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: a random parameter model using New York City …
HMA Aziz, NN Nagle, AM Morton, MR Hilliard, DA White, RN Stewart
Transportation 45 (5), 1207-1229, 2018
A comparison of supervised machine learning techniques for predicting short-term in-hospital length of stay among diabetic patients
A Morton, E Marzban, G Giannoulis, A Patel, R Aparasu, IA Kakadiaris
2014 13th International Conference on Machine Learning and Applications, 428-431, 2014
A high resolution agent-based model to support walk-bicycle infrastructure investment decisions: A case study with New York City
HMA Aziz, BH Park, A Morton, RN Stewart, M Hilliard, M Maness
Transportation research part C: emerging technologies 86, 280-299, 2018
US cities can manage national hydrology and biodiversity using local infrastructure policy
RA McManamay, SS Nair, CR DeRolph, BL Ruddell, AM Morton, ...
Proceedings of the National Academy of Sciences 114 (36), 9581-9586, 2017
A Bayesian machine learning model for estimating building occupancy from open source data
R Stewart, M Urban, S Duchscherer, J Kaufman, A Morton, G Thakur, ...
Natural Hazards 81 (3), 1929-1956, 2016
City energysheds and renewable energy in the United States
CR DeRolph, RA McManamay, AM Morton, SS Nair
Nature Sustainability 2 (5), 412-420, 2019
Incentives for rescheduling residential electricity consumption to promote renewable energy usage
C Akasiadis, K Panagidi, N Panagiotou, P Sernani, A Morton, IA Vetsikas, ...
2015 SAI intelligent systems conference (IntelliSys), 328-337, 2015
World Spatiotemporal Analytics and Mapping Project (WSTAMP): Discovering, Exploring, and Mapping Spatiotemporal Patterns across the World s Largest Open Source Geographic Data Sets
RN Stewart, JO Piburn, A Sorokine, AT Myers, DA White
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2015
High performance data driven agent-based modeling framework for simulation of commute mode choices in metropolitan area
BH Park, HMA Aziz, A Morton, R Stewart
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Can social media play a role in developing building occupancy curves for small area estimation?
R Stewart, J Piburn, E Weber, M Urban, A Morton, G Thakur, B Bhaduri
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2015
A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework
MR Allen, SMA Zaidi, V Chandola, AM Morton, CM Brelsford, ...
Big Earth Data 2 (3), 197-227, 2018
Can Social Media Play a Role in the Development of Building Occupancy Curves?
R Stewart, J Piburn, E Weber, M Urban, A Morton, G Thakur, B Bhaduri
Advances in Geocomputation, 59-66, 2017
A hybrid dasymetric and machine learning approach to high-resolution residential electricity consumption modeling
A Morton, N Nagle, J Piburn, RN Stewart, R McManamay
Advances in geocomputation, 47-58, 2017
Fast interactive information retrieval with sampling-based MDS on GPU architectures
H Osipyan, A Morton, S Marchand-Maillet
Information Retrieval Facility Conference, 96-107, 2014
A simulation approach for modeling high-resolution daytime commuter travel flows and distributions of worker subpopulations
AM Morton, JO Piburn, NN Nagle, HM Aziz, SE Duchscherer, RN Stewart
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017
Uncertainty quantification techniques for population density estimates derived from sparse open source data
R Stewart, D White, M Urban, A Morton, C Webster, M Stoyanov, E Bright, ...
Geospatial InfoFusion III 8747, 874705, 2013
An Approximate Entropy Based Approach for Quantifying Stability in Spatio-Temporal Data with Limited Temporal Observations
JO Piburn, RN Stewart, AM Morton
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017
A Dasymetric-Based Monte Carlo Simulation Approach to the Probabilistic Analysis of Spatial Variables
A Morton, J Piburn, R McManamay, N Nagle, R Stewart
International Conference on GIScience Short Paper Proceedings 1 (1), 2016
Need A Boost? A Comparison of Traditional Human Commuting Models with the XGBoost Model for Predicting Commuting Flows
AM Morton, JO Piburn, N Nagle
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2018
The system can't perform the operation now. Try again later.
Articles 1–20