Search Results - "MACIEJEWSKI, Ross"
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1
Graph convolutional networks: a comprehensive review
Published in Computational social networks (10-11-2019)“…Graphs naturally appear in numerous application domains, ranging from social analysis, bioinformatics to computer vision. The unique capability of graphs…”
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The State‐of‐the‐Art in Predictive Visual Analytics
Published in Computer graphics forum (01-06-2017)“…Predictive analytics embraces an extensive range of techniques including statistical modeling, machine learning, and data mining and is applied in business…”
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A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion
Published in IEEE transactions on visualization and computer graphics (01-11-2020)“…We present an interactive visual analytics system that enables traffic congestion exploration, surveillance, and forecasting based on vehicle detector data…”
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4
Sky View Factors from Synthetic Fisheye Photos for Thermal Comfort Routing—A Case Study in Phoenix, Arizona
Published in Urban planning (01-03-2017)“…The Sky View Factor (SVF) is a dimension-reduced representation of urban form and one of the major variables in radiation models that estimate outdoor thermal…”
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5
A broadband integrated time series (BITS) for longitudinal analyses of the digital divide
Published in PloS one (26-05-2021)“…To evaluate actions taken to implement the Telecommunications Act of 1996, the primary goal of which was to foster competition in the industry, the FCC created…”
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Recent progress and trends in predictive visual analytics
Published in Frontiers of Computer Science (01-04-2017)“…A wide variety of predictive analytics techniques have been developed in statistics, machine learning and data mining; however, many of these algorithms take a…”
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The Visual Analytics and Data Exploration Research Lab at Arizona State University
Published in Visual informatics (Online) (01-03-2021)“…This article describes the research agenda for the Visual Analytics and Data Exploration Research (VADER) Lab at Arizona State University. Over the past…”
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EasySVM: A visual analysis approach for open-box support vector machines
Published in Computational visual media (Beijing) (01-06-2017)“…Support vector machines (SVMs) are supervised learning models traditionally employed for classification and regression analysis. In classification analysis, a…”
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Visual Analysis of Class Separations With Locally Linear Segments
Published in IEEE transactions on visualization and computer graphics (01-01-2021)“…High-dimensional labeled data widely exists in many real-world applications such as classification and clustering. One main task in analyzing such datasets is…”
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Urban form and composition of street canyons: A human-centric big data and deep learning approach
Published in Landscape and urban planning (01-03-2019)“…[Display omitted] •A novel image-based big data method to derive human-centric urban form is presented.•Spherical surface fractions characterize pedestrian…”
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Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
Published in BMC medical informatics and decision making (21-04-2009)“…Public health surveillance is the monitoring of data to detect and quantify unusual health events. Monitoring pre-diagnostic data, such as emergency department…”
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Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition
Published in 2012 IEEE Conference on Visual Analytics Science and Technology (VAST) (01-10-2012)“…Recent advances in technology have enabled social media services to support space-time indexed data, and internet users from all over the world have created a…”
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Conference Proceeding -
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A metropolitan scale water management analysis of the food-energy-water nexus
Published in The Science of the total environment (20-01-2020)“…[Display omitted] •Interactions of the food-energy-water nexus are quantified in Phoenix Metro.•Preserving food production and megadrought will compromise…”
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Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
Published in IEEE transactions on visualization and computer graphics (01-01-2020)“…Machine learning models are currently being deployed in a variety of real-world applications where model predictions are used to make decisions about…”
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15
Sky View Factor footprints for urban climate modeling
Published in Urban climate (01-09-2018)“…Urban morphology is an important multidimensional variable to consider in climate modeling and observations, because it significantly drives the local and…”
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Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions
Published in IEEE transactions on intelligent transportation systems (01-08-2017)“…Many cities and countries are now striving to create intelligent transportation systems that utilize the current abundance of multisource and multiform data…”
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VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data
Published in IEEE transactions on visualization and computer graphics (01-09-2018)“…Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge for visualization and analysis. In this paper, we design and…”
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Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage
Published in IEEE transactions on visualization and computer graphics (01-04-2024)“…We visualize the predictions of multiple machine learning models to help biologists as they interactively make decisions about cell lineage -the development of…”
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MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations
Published in IEEE transactions on visualization and computer graphics (01-01-2024)“…Molecular Dynamics (MD) simulations are ubiquitous in cutting-edge physio-chemical research. They provide critical insights into how a physical system evolves…”
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Localized Topological Simplification of Scalar Data
Published in IEEE transactions on visualization and computer graphics (01-02-2021)“…This paper describes a localized algorithm for the topological simplification of scalar data, an essential pre-processing step of topological data analysis…”
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