| Interpolating seismic data with conditional generative adversarial networks DAB Oliveira, RS Ferreira, R Silva, EV Brazil IEEE Geoscience and Remote Sensing Letters 15 (12), 1952-1956, 2018 | 127 | 2018 |
| iLAMP: Exploring High-Dimensional Spacing through Backward Multidimensional Projection EP dos Santos Amorim, E Vital Brazil, J Daniels II, P Joia, LG Nonato, ... VISWEEK - VAST 2012, 53 - 62, 2012 | 70 | 2012 |
| Provenance data in the machine learning lifecycle in computational science and engineering R Souza, L Azevedo, V Lourenço, E Soares, R Thiago, R Brandão, ... 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 1-10, 2019 | 55 | 2019 |
| Netherlands dataset: A new public dataset for machine learning in seismic interpretation RM Silva, L Baroni, RS Ferreira, D Civitarese, D Szwarcman, EV Brazil arXiv preprint arXiv:1904.00770, 2019 | 55 | 2019 |
| Sketching variational hermite-rbf implicits E Vital Brazil, I Macedo, MC Sousa, LH de Figueiredo, L Velho Joint Session of the Seventh Sketch-Based Interfaces and Modeling Workshop …, 2010 | 51* | 2010 |
| Expression transfer between photographs through multilinear aam's I Macedo, EV Brazil, L Velho 19th Brazilian Symposium on Computer Graphics and Image Processing, 2006 …, 2006 | 42 | 2006 |
| Sketch Modeling of Seismic Horizons from Uncertainty R Amorim, E Vital Brazil, D Patel, MC Sousa Eurographics Workshop on Sketch-Based Interfaces and Modeling, 1-10, 2012 | 38 | 2012 |
| Improving seismic data resolution with deep generative networks DAB Oliveira, RS Ferreira, R Silva, EV Brazil IEEE Geoscience and Remote Sensing Letters 16 (12), 1929-1933, 2019 | 36 | 2019 |
| Deep learning applied to seismic facies classification: A methodology for training DS Chevitarese, D Szwarcman, RMG e Silva, EV Brazil Saint Petersburg 2018 2018 (1), 1-5, 2018 | 36 | 2018 |
| Geological Feature Prediction Using Image-Based Machine Learning D Jobe, E Vital Brazil, M Khait PETROPHYSICS 59 (4), 2018 | 34 | 2018 |
| Efficient classification of seismic textures DS Chevitarese, D Szwarcman, EV Brazil, B Zadrozny 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 32 | 2018 |
| Seismic facies segmentation using deep learning D Chevitarese, D Szwarcman, RMD Silva, EV Brazil AAPG Annual and Exhibition, 2018 | 32 | 2018 |
| Workflow provenance in the lifecycle of scientific machine learning R Souza, LG Azevedo, V Lourenço, E Soares, R Thiago, R Brandão, ... Concurrency and Computation: Practice and Experience 34 (14), e6544, 2022 | 30 | 2022 |
| Efficient runtime capture of multiworkflow data using provenance R Souza, L Azevedo, R Thiago, E Soares, M Nery, MAS Netto, E Vital, ... 2019 15th International Conference on eScience (eScience), 359-368, 2019 | 27 | 2019 |
| Semantic segmentation of seismic images D Civitarese, D Szwarcman, EV Brazil, B Zadrozny arXiv preprint arXiv:1905.04307, 2019 | 25 | 2019 |
| 3D geological modeling using sketches and annotations from geologic maps R Amorim, EV Brazil, F Samavati, MC Sousa Proceedings of the 4th joint symposium on computational aesthetics, non …, 2014 | 24 | 2014 |
| Transfer learning applied to seismic images classification D Chevitarese, D Szwarcman, RMD Silva, EV Brazil AAPG Annual and Exhibition, 2018 | 22 | 2018 |
| Assessing texture descriptors for seismic image retrieval AB Mattos, RS Ferreira, RMDG e Silva, M Riva, EV Brazil 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017 | 22 | 2017 |
| Facing the high-dimensions: Inverse projection with radial basis functions E Amorim, EV Brazil, J Mena-Chalco, L Velho, LG Nonato, F Samavati, ... Computers & Graphics 48, 35-47, 2015 | 21 | 2015 |
| Rapid reservoir modeling: prototyping of reservoir models, well trajectories and development options using an intuitive, sketch-based interface MDD Jackson, GJJ Hampson, D Rood, S Geiger, Z Zhang, MCC Sousa, ... SPE Reservoir Simulation Conference?, D031S010R002, 2015 | 20 | 2015 |
Rodrigo da Silva FerreiraMicrosoft在 microsoft.com 的电子邮件经过验证
