Peter Xenopoulos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Visual Representations

Random Subspaces

Class Imbalance

Top Venues

Publications

Parikshit Solunke, Vitoria Guardieiro, João Rulff, Peter Xenopoulos, Gromit Yeuk-Yin Chan, Brian Barr, Luis Gustavo Nonato, Cláudio T. Silva
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations. CoRR (2024)
Andrzej Bialecki, Peter Xenopoulos, Pawel Dobrowolski, Robert Bialecki, Jan Gajewski
ESPORT: Electronic Sports Professionals Observations and Reflections on Training. CoRR (2023)
Peter Xenopoulos, João Rulff, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva
Calibrate: Interactive Analysis of Probabilistic Model Output. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Peter Xenopoulos, João Rulff, Cláudio T. Silva
ggViz: Accelerating Large-Scale Esports Game Analysis. Proc. ACM Hum. Comput. Interact. 6 (CHI) (2022)
Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva
GALE: Globally Assessing Local Explanations. TAG-ML (2022)
Peter Xenopoulos, Cláudio T. Silva
ESTA: An Esports Trajectory and Action Dataset. CoRR (2022)
Peter Xenopoulos, William Robert Freeman, Cláudio T. Silva
Analyzing the Differences between Professional and Amateur Esports through Win Probability. WWW (2022)
Peter Xenopoulos, Luis Gustavo Nonato, Cláudio T. Silva
Visualization for Machine Learning. SIBGRAPI (2022)
Peter Xenopoulos, Gromit Yeuk-Yin Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva
Topological Representations of Local Explanations. CoRR (2022)
Peter Xenopoulos, João Rulff, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva
Calibrate: Interactive Analysis of Probabilistic Model Output. CoRR (2022)
Peter Xenopoulos, Cláudio T. Silva
Graph Neural Networks to Predict Sports Outcomes. CoRR (2022)
Senan Hogan-Hennessy, Peter Xenopoulos, Cláudio T. Silva
Market Interventions in a Large-Scale Virtual Economy. CoRR (2022)
Guido Petri, Michael H. Stanley, Alec B. Hon, Alexander Dong, Peter Xenopoulos, Cláudio T. Silva
Bandit Modeling of Map Selection in Counter-Strike: Global Offensive. CoRR (2021)
Peter Xenopoulos, João Rulff, Cláudio T. Silva
GgViz: Accelerating Large-Scale Esports Game Analysis. CoRR (2021)
Peter Xenopoulos, Cláudio T. Silva
Graph Neural Networks to Predict Sports Outcomes. IEEE BigData (2021)
Peter Xenopoulos, Bruno Gomes Coelho, Cláudio T. Silva
Optimal Team Economic Decisions in Counter-Strike. CoRR (2021)
Peter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva
Valuing Player Actions in Counter-Strike: Global Offensive. CoRR (2020)
Peter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva
Valuing Player Actions in Counter-Strike: Global Offensive. IEEE BigData (2020)
Peter Xenopoulos
Introducing DeepBalance: Random deep belief network ensembles to address class imbalance. IEEE BigData (2017)
Peter Xenopoulos
Introducing DeepBalance: Random Deep Belief Network Ensembles to Address Class Imbalance. CoRR (2017)
Peter Xenopoulos, Jamison Daniel, Michael A. Matheson, Sreenivas Sukumar
Big data analytics on HPC architectures: Performance and cost. IEEE BigData (2016)
John Harney, Seung-Hwan Lim, Sreenivas S. Sukumar, Dale Stansberry, Peter Xenopoulos
On-demand data analytics in HPC environments at leadership computing facilities: Challenges and experiences. IEEE BigData (2016)