Jorge Poco

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Persistent Homology

Text Classifiers

Scientific Literature

Top Venues

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

Publications

Raphaël Tinarrage, Henrique Ennes, Lucas E. Resck, Lucas T. Gomes, Jean R. Ponciano, Jorge Poco
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval. CoRR (2024)
Giovani Valdrighi, Nivan Ferreira, Jorge Poco
MoReVis: A Visual Summary for Spatiotemporal Moving Regions. IEEE Trans. Vis. Comput. Graph. 30 (4) (2024)
Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, João Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Cláudio T. Silva
Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Lucas E. Resck, Marcos M. Raimundo, Jorge Poco
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. CoRR (2024)
Felipe Moreno Vera, Edgar Medina, Jorge Poco
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification. VISIGRAPP (5: VISAPP) (2023)
Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, João Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Cláudio T. Silva
Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning. CoRR (2023)
Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, Jorge Poco
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Felipe Moreno Vera, Edgar Medina, Jorge Poco
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification. CoRR (2023)
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
ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE Trans. Vis. Comput. Graph. 29 (10) (2023)
Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco
Enforcing fairness using ensemble of diverse Pareto-optimal models. Data Min. Knowl. Discov. 37 (5) (2023)
Giovani Valdrighi, Nivan Ferreira, Jorge Poco
MoReVis: A Visual Summary for Spatiotemporal Moving Regions. CoRR (2023)
Raphaël Tinarrage, Jean R. Ponciano, Claudio D. G. Linhares, Agma J. M. Traina, Jorge Poco
TDANetVis: Suggesting temporal resolutions for graph visualization using zigzag persistent homology. CoRR (2023)
Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro, Luis E. C. Rocha, Agma J. M. Traina, Jorge Poco
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Germain Garcia Zanabria, Marcos M. Raimundo, Jorge Poco, Marcelo Batista Nery, Cláudio T. Silva, Sergio Adorno, Luis Gustavo Nonato
CriPAV: Street-Level Crime Patterns Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Ximena Pocco, Tiago da Silva, Jorge Poco, Luis Gustavo Nonato, Erick Gomez Nieto
Exploring scientific literature by textual and image content using DRIFT. Comput. Graph. 103 (2022)
Joao Pinheiro, Jorge Poco
ChartText: Linking Text with Charts in Documents. CoRR (2022)
Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, Jorge Poco
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. CoRR (2022)
Claudio D. G. Linhares, Daniel M. Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina Jr., Agma J. M. Traina
ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. CoRR (2022)
Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro, Luis E. C. Rocha, Agma J. M. Traina, Jorge Poco
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. CoRR (2022)
Bahram Lavi, Eric K. Tokuda, Felipe Moreno Vera, Luis Gustavo Nonato, Cláudio T. Silva, Jorge Poco
17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City. VISIGRAPP (4: VISAPP) (2022)
Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco
Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance. EDM (2022)
Felipe Moreno Vera, Bahram Lavi, Jorge Poco
Quantifying Urban Safety Perception on Street View Images. WI/IAT (2021)
Germain Garcia Zanabria, Jaqueline Silveira, Jorge Poco, Afonso Paiva, Marcelo Batista Nery, Cláudio T. Silva, Sergio Adorno, Luis Gustavo Nonato
CrimAnalyzer: Understanding Crime Patterns in São Paulo. IEEE Trans. Vis. Comput. Graph. 27 (4) (2021)
Daniel A. Gutierrez-Pachas, Germain Garcia Zanabria, Alex Jesús Cuadros-Vargas, Guillermo Cámara Chávez, Jorge Poco, Erick Gomez Nieto
A comparative study of WHO and WHEN prediction approaches for early identification of university students at dropout risk. CLEI (2021)
Felipe Moreno Vera, Bahram Lavi, Jorge Poco
Urban Perception: Can We Understand Why a Street Is Safe? MICAI (1) (2021)
Ximena Pocco, Jorge Poco, Matheus Viana, Rogerio de Paula, Luis Gustavo Nonato, Erick Gomez Nieto
DRIFT: A visual analytic tool for scientific literature exploration based on textual and image content. SIBGRAPI (2021)
Germain Garcia Zanabria, Erick Gomez Nieto, Jaqueline Silveira, Jorge Poco, Marcelo Batista Nery, Sergio Adorno, Luis Gustavo Nonato
Mirante: A visualization tool for analyzing urban crimes. SIBGRAPI (2020)
Aritra Dasgupta, Jorge Poco, Bernice E. Rogowitz, Kyungsik Han, Enrico Bertini, Cláudio T. Silva
The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks. IEEE Trans. Vis. Comput. Graph. 26 (3) (2020)
Jorge Poco, Angela Mayhua, Jeffrey Heer
Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Angela Mayhua, Erick Gomez Nieto, Jeffrey Heer, Jorge Poco
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values. SIBGRAPI (2018)
Jorge Poco, Jeffrey Heer
Reverse-Engineering Visualizations: Recovering Visual Encodings from Chart Images. Comput. Graph. Forum 36 (3) (2017)
Aritra Dasgupta, Jorge Poco, Enrico Bertini, Cláudio T. Silva
Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. Comput. Sci. Eng. 18 (1) (2016)
Jorge Poco, Harish Doraiswamy, Marian Talbert, Jeffrey T. Morisette, Cláudio T. Silva
Using maximum topology matching to explore differences in species distribution models. SciVis (2015)
Aritra Dasgupta, Jorge Poco, Yaxing Wei, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison. IEEE Trans. Vis. Comput. Graph. 21 (9) (2015)
Jorge Poco, Harish Doraiswamy, Huy T. Vo, João Luiz Dihl Comba, Juliana Freire, Cláudio T. Silva
Exploring Traffic Dynamics in Urban Environments Using Vector-Valued Functions. Comput. Graph. Forum 34 (3) (2015)
Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Deborah N. Huntzinger, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Juliana Freire, Cláudio T. Silva, Huy T. Vo, Harish Doraiswamy, Nivan Ferreira, Jorge Poco
Riding from Urban Data to Insight Using New York City Taxis. IEEE Data Eng. Bull. 37 (4) (2014)
Jorge Poco, Aritra Dasgupta, Yaxing Wei, William W. Hargrove, Christopher R. Schwalm, Robert B. Cook, Enrico Bertini, Cláudio T. Silva
SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data. Comput. Graph. Forum 33 (3) (2014)
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
Ultrascale Visualization of Climate Data. Computer 46 (9) (2013)
Emanuele Santos, Jorge Poco, Yaxing Wei, Shishi Liu, Bob Cook, Dean N. Williams, Cláudio T. Silva
UV-CDAT: Analyzing Climate Datasets from a User's Perspective. Comput. Sci. Eng. 15 (1) (2013)
Nivan Ferreira, Jorge Poco, Huy T. Vo, Juliana Freire, Cláudio T. Silva
Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips. IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)
Jorge Poco, Danilo Medeiros Eler, Fernando Vieira Paulovich, Rosane Minghim
Employing 2D Projections for Fast Visual Exploration of Large Fiber Tracking Data. Comput. Graph. Forum 31 (3) (2012)
Jorge Poco, Ronak Etemadpour, Fernando Vieira Paulovich, Tran Van Long, Paul Rosenthal, Maria Cristina Ferreira de Oliveira, Lars Linsen, Rosane Minghim
A Framework for Exploring Multidimensional Data with 3D Projections. Comput. Graph. Forum 30 (3) (2011)
Fernando Vieira Paulovich, Danilo Medeiros Eler, Jorge Poco, Charl P. Botha, Rosane Minghim, Luis Gustavo Nonato
Piece wise Laplacian-based Projection for Interactive Data Exploration and Organization. Comput. Graph. Forum 30 (3) (2011)