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Publication search results
found 66 matches
- 2023
- Wallas H. S. dos Santos, Emilio Vital Brazil, Alberto Barbosa Raposo:
ShapeGraMM: On the fly procedural generation of massive models for real-time visualization. Comput. Graph. 116: 239-250 (2023) - Luiz Fernando Puttow Southier, Esther Maria Rojas Krugger, Cleiton dos Santos Garcia, Edson Emílio Scalabrin:
Process Mining and Root Cause Analysis for Detecting Inefficiencies in Business Processes: an Applied Case in a Brazilian Telecommunications Provider. CSCWD 2023: 53-58 - Carlos Raoni Mendes, Emilio Vital Brazil, Vinícius C. V. B. Segura, Renato Cerqueira:
Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidates. CoRR abs/2303.05288 (2023) - Emilio Vital Brazil, Eduardo E. M. Soares, Lucas Villa Real, Leonardo Azevedo, Vinícius C. V. B. Segura, Luiz Zerkowski, Renato Cerqueira:
Position Paper on Dataset Engineering to Accelerate Science. CoRR abs/2303.05545 (2023) - Vagner Figueredo de Santana, Larissa Monteiro Da Fonseca Galeno, Emilio Vital Brazil, Aliza Heching, Renato Cerqueira:
Retrospective End-User Walkthrough: A Method for Assessing How People Combine Multiple AI Models in Decision-Making Systems. CoRR abs/2305.07530 (2023) - Eduardo E. M. Soares, Emilio Vital Brazil, Karen Fiorela Aquino Gutierrez, Renato Cerqueira, Daniel P. Sanders, Kristin Schmidt, Dmitry Zubarev:
Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction. CoRR abs/2306.14919 (2023) - Ronan Amorim, Emilio Vital Brazil, Faramarz Samavati, Mario Costa Sousa:
Geo-Sketcher: Rapid 3D Geological Modeling using Geological and Topographic Map Sketches. CoRR abs/2308.12152 (2023) - Eduardo E. M. Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira:
Improving Molecular Properties Prediction Through Latent Space Fusion. CoRR abs/2310.13802 (2023) - 2022
- Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow provenance in the lifecycle of scientific machine learning. Concurr. Comput. Pract. Exp. 34(14) (2022) - Heloisa Candello, Marcelo Grave, Emilio Brazil, Marina Ito, Adinan Alves de Brito Filho, Rogério de Paula:
How can AI leverage alternative criteria and suggest a better way to measure credit worthiness and economic growth? CUI 2022: 40:1-40:4 - Yousef Navidtehrani, Covadonga Betegón, R. W. Zimmerman, Emilio Martínez-Pañeda:
Griffith-based analysis of crack initiation location in a Brazilian test. CoRR abs/2209.06456 (2022) - Dmitry Zubarev, Carlos Raoni Mendes, Emilio Vital Brazil, Renato Cerqueira, Kristin Schmidt, Vinícius C. V. B. Segura, Juliana Jansen Ferreira, Daniel P. Sanders:
Toward Human-AI Co-creation to Accelerate Material Discovery. CoRR abs/2211.04257 (2022) - 2020
- Rodrigo S. Ferreira, Julia Noce, Dário A. B. Oliveira, Emilio Vital Brazil:
Generating Sketch-Based Synthetic Seismic Images With Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 17(8): 1460-1464 (2020) - Xiandie Jiang, Guiying Li, Dengsheng Lu, Emilio Moran, Mateus Batistella:
Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data. Remote. Sens. 12(20): 3330 (2020) - Carolina Coimbra Vieira, Filipe Ribeiro, Pedro Olmo Stancioli Vaz de Melo, Fabrício Benevenuto, Emilio Zagheni:
Using Facebook Data to Measure Cultural Distance between Countries: The Case of Brazilian Cuisine. WWW 2020: 3091-3097 - Luiz Emilio Allem, Carlos Hoppen, Matheus Micadei Marzo, Lucas Siviero Sibemberg:
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil. CoRR abs/2008.00333 (2020) - Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow Provenance in the Lifecycle of Scientific Machine Learning. CoRR abs/2010.00330 (2020) - 2019
- Dário A. B. Oliveira, Rodrigo S. Ferreira, Reinaldo M. Da Gama e Silva, Emilio Vital Brazil:
Improving Seismic Data Resolution With Deep Generative Networks. IEEE Geosci. Remote. Sens. Lett. 16(12): 1929-1933 (2019) - Wallas H. S. dos Santos, Isabela Chambers, Emilio Vital Brazil, Márcio Ferreira Moreno:
Drafting Interpretation of Seismic Data through Virtual Reality with Hyperknowledge Base Systems. AIVR 2019: 239-240 - Wallas H. S. dos Santos, Isabela Chambers, Emilio Vital Brazil, Márcio Ferreira Moreno:
Structuring and Inspecting 3D Anchors for Seismic Volume into Hyperknowledge Base in Virtual Reality. AIVR 2019: 271-274 - Renan Souza, Marta Mattoso, Leonardo Azevedo, Raphael Thiago, Elton F. de Souza Soares, Marcelo Nery dos Santos, Marco A. S. Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez:
Efficient Runtime Capture of Multiworkflow Data Using Provenance. eScience 2019: 359-368 - Vinícius C. V. B. Segura, Bruna Brandão, Ana Fucs, Emilio Vital Brazil:
Towards Explainable AI Using Similarity: An Analogues Visualization System. HCI (19) 2019: 389-399 - Renan Souza, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco Aurélio Stelmar Netto, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. WORKS@SC 2019: 1-10 - Lais Baroni, Reinaldo Mozart Da Gama e Silva, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil:
Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation. CoRR abs/1903.12060 (2019) - Reinaldo Mozart Da Gama e Silva, Lais Baroni, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil:
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation. CoRR abs/1904.00770 (2019) - Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny:
Semantic Segmentation of Seismic Images. CoRR abs/1905.04307 (2019) - Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. CoRR abs/1910.04223 (2019) - 2018
- Dário Augusto Borges Oliveira, Rodrigo S. Ferreira, Reinaldo M. Da Gama e Silva, Emilio Vital Brazil:
Interpolating Seismic Data With Conditional Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 15(12): 1952-1956 (2018) - Emilio Feliciano de Oliveira, Milene Selbach Silveira:
Open government data in Brazil a systematic review of its uses and issues. DG.O 2018: 60:1-60:9 - Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny:
Efficient Classification of Seismic Textures. IJCNN 2018: 1-8
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