51 citations · 96 across the 9 of their papers we have counts for
9 papers
Graph Neural Networks to Predict Sports Outcomes
Peter Xenopoulos, Claudio Silva
Predicting outcomes in sports is important for teams, leagues, bettors, media, and fans. Given the growing amount of player tracking data, sports analytics models are increasingly…
Calibrate: Interactive Analysis of Probabilistic Model Output
Peter Xenopoulos, Joao Rulff, Luis Gustavo Nonato +2
Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from confusion matrices,…
CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials
Maryam Hosseini, Fabio Miranda, Jianzhe Lin +1
While designing sustainable and resilient urban built environment is increasingly promoted around the world, significant data gaps have made research on pressing sustainability iss…
Topological Representations of Local Explanations
Peter Xenopoulos, Gromit Chan, Harish Doraiswamy +3
Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rational…
ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
Guande Wu, Jianzhe Lin, Claudio T. Silva
Video summarization aims to simplify large scale video browsing by generating concise, short summaries that diver from but well represent the original video. Due to the scarcity of…
IntentVizor: Towards Generic Query Guided Interactive Video Summarization
Guande Wu, Jianzhe Lin, Claudio T. Silva
The target of automatic video summarization is to create a short skim of the original long video while preserving the major content/events. There is a growing interest in the integ…
ggViz: Accelerating Large-Scale Esports Game Analysis
Peter Xenopoulos, Joao Rulff, Claudio Silva
While esports organizations are increasingly adopting practices of conventional sports teams, such as dedicated analysts and data-driven decision-making, video-based game review is…
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together
Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato +2
With the increasing sophistication of machine learning models, there are growing trends of developing model explanation techniques that focus on only one instance (local explanatio…
Towards Ground Truth Explainability on Tabular Data
Brian Barr, Ke Xu, Claudio Silva +4
In data science, there is a long history of using synthetic data for method development, feature selection and feature engineering. Our current interest in synthetic data comes fro…