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Jorge Poco
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2020 – today
- 2024
- [j25]Marcos M. Raimundo, Luis Gustavo Nonato, Jorge Poco:
Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm. Data Min. Knowl. Discov. 38(5): 2942-2974 (2024) - [j24]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: 5668-5679 (2024) - [j23]Giovani Valdrighi, Nivan Ferreira, Jorge Poco:
MoReVis: A Visual Summary for Spatiotemporal Moving Regions. IEEE Trans. Vis. Comput. Graph. 30(4): 1927-1941 (2024) - [c13]Lucas Resck, Marcos M. Raimundo, Jorge Poco:
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. NAACL-HLT (Findings) 2024: 4190-4216 - [c12]Juanpablo Heredia, Fabrício Venturim, Dany Diaz, Felipe Moreno Vera, Jorge Poco:
Tracking Overfishing: Visual Analytics of Suspicious Behaviors in Commercial Fishing Vessels. VAST Challenge@VIS 2024: 11-12 - [c11]Dany Diaz, Felipe Moreno Vera, Juanpablo Heredia, Fabrício Venturim, Jorge Poco:
FishBiasLens: Integrating Large Language Models and Visual Analytics for Bias Detection. VAST Challenge@VIS 2024: 17-18 - [i10]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 abs/2404.03098 (2024) - [i9]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 abs/2407.07004 (2024) - 2023
- [j22]Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco:
Enforcing fairness using ensemble of diverse Pareto-optimal models. Data Min. Knowl. Discov. 37(5): 1930-1958 (2023) - [j21]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): 203-213 (2023) - [j20]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): 3105-3120 (2023) - [j19]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): 4031-4046 (2023) - [c10]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: 830-837 - [i8]Giovani Valdrighi, Nivan Ferreira, Jorge Poco:
MoReVis: A Visual Summary for Spatiotemporal Moving Regions. CoRR abs/2302.13199 (2023) - [i7]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 abs/2304.03828 (2023) - [i6]Felipe Moreno Vera, Edgar Medina, Jorge Poco:
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification. CoRR abs/2308.14995 (2023) - [i5]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 abs/2309.16808 (2023) - 2022
- [j18]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: 140-152 (2022) - [j17]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): 4000-4015 (2022) - [c9]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 - [c8]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: 968-975 - [i4]Joao Pinheiro, Jorge Poco:
ChartText: Linking Text with Charts in Documents. CoRR abs/2201.05043 (2022) - [i3]Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, Jorge Poco:
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. CoRR abs/2203.02001 (2022) - [i2]Claudio D. G. Linhares, Daniel Mario de 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 abs/2205.13570 (2022) - [i1]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 abs/2208.04358 (2022) - 2021
- [j16]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): 2313-2328 (2021) - [c7]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: 1-10 - [c6]Felipe Moreno Vera, Bahram Lavi, Jorge Poco:
Urban Perception: Can We Understand Why a Street Is Safe? MICAI (1) 2021: 277-288 - [c5]Ximena Pocco, Jorge Poco, Matheus Viana, Rogério 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: 136-143 - [c4]Felipe Moreno Vera, Bahram Lavi, Jorge Poco:
Quantifying Urban Safety Perception on Street View Images. WI/IAT 2021: 611-616 - 2020
- [j15]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): 1577-1591 (2020) - [c3]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: 148-155
2010 – 2019
- 2018
- [j14]Jorge Poco, Angela Mayhua, Jeffrey Heer:
Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations. IEEE Trans. Vis. Comput. Graph. 24(1): 637-646 (2018) - [c2]Angela Mayhua, Erick Gomez Nieto, Jeffrey Heer, Jorge Poco:
Extracting Visual Encodings from Map Chart Images with Color-Encoded Scalar Values. SIBGRAPI 2018: 142-149 - 2017
- [j13]Jorge Poco, Jeffrey Heer:
Reverse-Engineering Visualizations: Recovering Visual Encodings from Chart Images. Comput. Graph. Forum 36(3): 353-363 (2017) - 2016
- [j12]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): 92-100 (2016) - 2015
- [j11]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): 161-170 (2015) - [j10]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): 996-1014 (2015) - [c1]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: 9-16 - 2014
- [j9]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): 341-350 (2014) - [j8]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): 43-55 (2014) - [j7]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): 1923-1932 (2014) - 2013
- [j6]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): 68-76 (2013) - [j5]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): 94-103 (2013) - [j4]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): 2149-2158 (2013) - 2012
- [j3]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): 1075-1084 (2012) - 2011
- [j2]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): 1091-1100 (2011) - [j1]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): 1111-1120 (2011)
Coauthor Index
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