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10/14/2022
Market Interventions in a Large-Scale Virtual Economy
Massively multiplayer online role-playing games often contain sophistica...
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09/20/2022
ESTA: An Esports Trajectory and Action Dataset
Sports, due to their global reach and impact-rich prediction tasks, are ...
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07/28/2022
Graph Neural Networks to Predict Sports Outcomes
Predicting outcomes in sports is important for teams, leagues, bettors, ...
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07/27/2022
Calibrate: Interactive Analysis of Probabilistic Model Output
Analyzing classification model performance is a crucial task for machine...
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03/20/2022
A Study on Robustness to Perturbations for Representations of Environmental Sound
Audio applications involving environmental sound analysis increasingly u...
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01/06/2022
CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials
While designing sustainable and resilient urban built environment is inc...
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01/06/2022
Topological Representations of Local Explanations
Local explainability methods – those which seek to generate an explanati...
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12/12/2021
A Visual Analytics System for Profiling Urban Land Use Evolution
The growth of cities calls for regulations on how urban space is used an...
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12/11/2021
UrbanRama: Navigating Cities in Virtual Reality
Exploring large virtual environments, such as cities, is a central task ...
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11/03/2021
AlphaD3M: Machine Learning Pipeline Synthesis
We introduce AlphaD3M, an automatic machine learning (AutoML) system bas...
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10/18/2021
NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences
Visual place recognition (VPR) is critical in not only localization and ...
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09/20/2021
Optimal Team Economic Decisions in Counter-Strike
The outputs of win probability models are often used to evaluate player ...
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07/14/2021
GgViz: Accelerating Large-Scale Esports Game Analysis
Game review is crucial for teams, players and media staff in sports. Des...
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06/14/2021
Bandit Modeling of Map Selection in Counter-Strike: Global Offensive
Many esports use a pick and ban process to define the parameters of a ma...
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11/02/2020
Valuing Player Actions in Counter-Strike: Global Offensive
Esports, despite its expanding interest, lacks fundamental sports analyt...
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10/07/2020
Interactive Visualization of Atmospheric Effects for Celestial Bodies
We present an atmospheric model tailored for the interactive visualizati...
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09/03/2020
TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data
Multidimensional Projection is a fundamental tool for high-dimensional d...
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07/20/2020
Towards Ground Truth Explainability on Tabular Data
In data science, there is a long history of using synthetic data for met...
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05/01/2020
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines
In recent years, a wide variety of automated machine learning (AutoML) m...
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06/18/2019
Gradient Dynamics of Shallow Univariate ReLU Networks
We present a theoretical and empirical study of the gradient dynamics of...
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05/24/2019
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Automatic machine learning is an important problem in the forefront of m...
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04/09/2019
Unwind: Interactive Fish Straightening
The ScanAllFish project is a large-scale effort to scan all the world's ...
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03/07/2019
The life of a New York City noise sensor network
Noise pollution is one of the topmost quality of life issues for urban r...
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11/27/2018
Deep Geometric Prior for Surface Reconstruction
The reconstruction of a discrete surface from a point cloud is a fundame...
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05/02/2018
SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution
We present the Sounds of New York City (SONYC) project, a smart cities i...
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06/28/2017