A cyclic learning approach for improving pre-stack seismic processing
- Dario Augusto Borges Oliveira
- Daniela Szwarcman
- et al.
- 2021
- Scientific Reports
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11 results for Daniela Szwarcman
Q-NAS revisited: Exploring evolution fitness to improve efficiency
- Daniela Szwarcman
- Daniel Civitarese
- et al.
- 2019
- BRACIS 2019
Vacuum Ultraviolet Laser Induced Breakdown Spectroscopy (VUV-LIBS) with machine learning for pharmaceutical analysis
- M. B. Alli
- Daniela Szwarcman
- et al.
- 2018
- ICSLS 2018
Quantum-Inspired Neural Architecture Search
- Daniela Szwarcman
- Daniel Civitarese
- et al.
- 2019
- IJCNN 2019
Stratigraphic segmentation using convolutional neural networks
- Daniel Civitarese
- Daniela Szwarcman
- et al.
- 2019
- EAGE Workshop 2019
Ore content estimation based on spatial geological data through 3D convolutional neural networks
- B. W.Carvalho Wsr
- Daniel Civitarese
- et al.
- 2019
- EAGE Workshop 2019
Efficient Classification of Seismic Textures
- Daniel Civitarese
- Daniela Szwarcman
- et al.
- 2018
- IJCNN 2018
Deep learning applied to seismic facies classification: A methodology for training
- Daniel Civitarese
- Daniela Szwarcman
- et al.
- 2018
- Saint Petersburg 2018
Direct Sampling for Spatially Variable Extreme Event Generation in Resampling-Based Stochastic Weather Generators
- Jorge Guevara
- Maria Garcia
- et al.
- 2023
- J. Adv. Model. Earth Syst.
Quantum-inspired evolutionary algorithm applied to neural architecture search
- Daniela Szwarcman
- Daniel Civitarese
- et al.
- 2022
- Applied Soft Computing Journal