Jorge Poco

According to our database, Jorge Poco authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MoReVis: A Visual Summary for Spatiotemporal Moving Regions.

Giovani Valdrighi, Nivan Ferreira, Jorge Poco

IEEE Trans. Vis. Comput. Graph., April, 2024

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning.

Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, João Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Cláudio T. Silva

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making.

Claudio D. G. Linhares, Daniel Mario de Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina, Agma J. M. Traina

IEEE Trans. Vis. Comput. Graph., October, 2023

Enforcing fairness using ensemble of diverse Pareto-optimal models.

Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco

Data Min. Knowl. Discov., September, 2023

LegalVis: Exploring and Inferring Precedent Citations in Legal Documents.

Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, Jorge Poco

IEEE Trans. Vis. Comput. Graph., June, 2023

LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies.

Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro, Luis E. C. Rocha, Agma J. M. Traina, Jorge Poco

IEEE Trans. Vis. Comput. Graph., 2023

Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning.

Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, João Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Cláudio T. Silva

CoRR, 2023

TDANetVis: Suggesting temporal resolutions for graph visualization using zigzag persistent homology.

Raphaël Tinarrage, Jean R. Ponciano, Claudio D. G. Linhares, Agma J. M. Traina, Jorge Poco

CoRR, 2023

WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification.

Felipe Moreno Vera, Edgar Medina, Jorge Poco

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

CriPAV: Street-Level Crime Patterns Analysis and Visualization.

Germain Garcia Zanabria, Marcos M. Raimundo, Jorge Poco, Marcelo Batista Nery, Cláudio T. Silva, Sergio Adorno, Luis Gustavo Nonato

IEEE Trans. Vis. Comput. Graph., 2022

ChartText: Linking Text with Charts in Documents.

Joao Pinheiro, Jorge Poco

CoRR, 2022

Exploring scientific literature by textual and image content using DRIFT.

Ximena Pocco, Tiago da Silva, Jorge Poco, Luis Gustavo Nonato, Erick Gomez Nieto

Comput. Graph., 2022

17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City.

Bahram Lavi, Eric K. Tokuda, Felipe Moreno Vera, Luis Gustavo Nonato, Cláudio T. Silva, Jorge Poco

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance.

Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

CrimAnalyzer: Understanding Crime Patterns in São Paulo.

Germain Garcia Zanabria, Jaqueline Silveira, Jorge Poco, Afonso Paiva, Marcelo Batista Nery, Cláudio T. Silva, Sergio Adorno, Luis Gustavo Nonato

IEEE Trans. Vis. Comput. Graph., 2021

Quantifying Urban Safety Perception on Street View Images.

Felipe Moreno Vera, Bahram Lavi, Jorge Poco

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

DRIFT: A visual analytic tool for scientific literature exploration based on textual and image content.

Ximena Pocco, Jorge Poco, Matheus Viana, Rogério de Paula, Luis Gustavo Nonato, Erick Gomez Nieto

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

Urban Perception: Can We Understand Why a Street Is Safe?

Felipe Moreno Vera, Bahram Lavi, Jorge Poco

Proceedings of the Advances in Computational Intelligence, 2021

A comparative study of WHO and WHEN prediction approaches for early identification of university students at dropout risk.

Daniel A. Gutierrez-Pachas, Germain Garcia Zanabria, Alex Jesús Cuadros-Vargas, Guillermo Cámara Chávez, Jorge Poco, Erick Gomez Nieto

Proceedings of the XLVII Latin American Computing Conference, 2021

2020

The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks.

Aritra Dasgupta, Jorge Poco, Bernice E. Rogowitz, Kyungsik Han, Enrico Bertini, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., 2020

Mirante: A visualization tool for analyzing urban crimes.

Germain Garcia Zanabria, Erick Gomez Nieto, Jaqueline Silveira, Jorge Poco, Marcelo Batista Nery, Sergio Adorno, Luis Gustavo Nonato

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

2018

Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations.

Jorge Poco, Angela Mayhua, Jeffrey Heer

IEEE Trans. Vis. Comput. Graph., 2018

Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values.

Angela Mayhua, Erick Gomez Nieto, Jeffrey Heer, Jorge Poco

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

2017

Reverse-Engineering Visualizations: Recovering Visual Encodings from Chart Images.

Jorge Poco, Jeffrey Heer

Comput. Graph. Forum, 2017

2016

Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study.

Aritra Dasgupta, Jorge Poco, Enrico Bertini, Cláudio T. Silva

Comput. Sci. Eng., 2016

2015

Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison.

Aritra Dasgupta, Jorge Poco, Yaxing Wei, Robert B. Cook, Enrico Bertini, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., 2015

Exploring Traffic Dynamics in Urban Environments Using Vector-Valued Functions.

Jorge Poco, Harish Doraiswamy, Huy T. Vo, João Luiz Dihl Comba, Juliana Freire, Cláudio T. Silva

Comput. Graph. Forum, 2015

Using maximum topology matching to explore differences in species distribution models.

Jorge Poco, Harish Doraiswamy, Marian Talbert, Jeffrey T. Morisette, Cláudio T. Silva

Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015

2014

Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling.

Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Deborah N. Huntzinger, Robert B. Cook, Enrico Bertini, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., 2014

Riding from Urban Data to Insight Using New York City Taxis.

Juliana Freire, Cláudio T. Silva, Huy T. Vo, Harish Doraiswamy, Nivan Ferreira, Jorge Poco

IEEE Data Eng. Bull., 2014

SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data.

Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Robert B. Cook, Enrico Bertini, Cláudio T. Silva

Comput. Graph. Forum, 2014

2013

Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips.

Nivan Ferreira, Jorge Poco, Huy T. Vo, Juliana Freire, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., 2013

UV-CDAT: Analyzing Climate Datasets from a User's Perspective.

Emanuele Santos, Jorge Poco, Yaxing Wei, Shishi Liu, Bob Cook, Dean N. Williams, Cláudio T. Silva

Comput. Sci. Eng., 2013

Ultrascale Visualization of Climate Data.

Dean N. Williams, Peer-Timo Bremer, Charles M. Doutriaux, John Patchett, Sean Williams, Galen M. Shipman, Ross Miller, David Pugmire, Brian E. Smith, Chad A. Steed, E. Wes Bethel, Hank Childs, Harinarayan Krishnan, Prabhat, Michael F. Wehner, Cláudio T. Silva, Emanuele Santos, David Koop, Tommy Ellqvist, Jorge Poco, Berk Geveci, Aashish Chaudhary, Andy Bauer, Alexander Pletzer, Dave Kindig, Gerald Potter, Thomas P. Maxwell

Computer, 2013

2012

Employing 2D Projections for Fast Visual Exploration of Large Fiber Tracking Data.

Jorge Poco, Danilo Medeiros Eler, Fernando Vieira Paulovich, Rosane Minghim

Comput. Graph. Forum, 2012

2011

A Framework for Exploring Multidimensional Data with 3D Projections.

Jorge Poco, Ronak Etemadpour, Fernando Vieira Paulovich, Tran Van Long, Paul Rosenthal, Maria Cristina Ferreira de Oliveira, Lars Linsen, Rosane Minghim

Comput. Graph. Forum, 2011

Piece wise Laplacian-based Projection for Interactive Data Exploration and Organization.

Fernando Vieira Paulovich, Danilo Medeiros Eler, Jorge Poco, Charl P. Botha, Rosane Minghim, Luis Gustavo Nonato

Comput. Graph. Forum, 2011