Dário A. B. Oliveira

Orcid: 0000-0002-0674-5332

According to our database1, Dário A. B. Oliveira authored at least 57 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing.
CoRR, 2024

Evolution of urban areas and land surface temperature.
CoRR, 2024

A polar transformation augmentation approach for enhancing mammary gland segmentation in ultrasound images.
Comput. Electron. Agric., 2024

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

Foundation Models for Generalist Geospatial Artificial Intelligence.
CoRR, 2023

2022
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Exploring Self-Attention for Crop-type Classification Explainability.
CoRR, 2022

Controlling Weather Field Synthesis Using Variational Autoencoders.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Learning from Label Proportions with Prototypical Contrastive Clustering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis.
IEEE Trans. Geosci. Remote. Sens., 2021

Enabling Robust Horizon Picking From Small Training Sets.
IEEE Trans. Geosci. Remote. Sens., 2021

Automatic Velocity Analysis Using a Hybrid Regression Approach With Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2021

Controlling Weather Field Synthesis Using Variational Autoencoders.
CoRR, 2021

Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data.
CoRR, 2021

Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks.
CoRR, 2021

A modular framework for extreme weather generation.
CoRR, 2021

Simplifying Horizon Picking Using Single-Class Semantic Segmentation Networks.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

Evaluation of Unsupervised Deep Clustering Methods for Crop Classification Using SAR Image Sequences.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Investigating Fusion Strategies on Encoder-Decoder Networks for Crop Segmentation Using SAR and Optical Image Sequences.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020
Generalization of Convolutional LSTM Models for Crop Area Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Generating Sketch-Based Synthetic Seismic Images With Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2020

Ground Roll Suppression using Convolutional Neural Networks.
CoRR, 2020

Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams.
CoRR, 2020

Controllable Skin Lesion Synthesis Using Texture Patches, Bézier Curves and Conditional GANs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Improving Seismic Data Resolution With Deep Generative Networks.
IEEE Geosci. Remote. Sens. Lett., 2019

Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2019

Exploring features towards semantic characterization of lung nodules in computed tomography images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Improving Viseme Recognition with GAN-based Muti-view Mapping.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Interpolating Seismic Data With Conditional Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2018

Multi-view Mouth Renderization for Assisting Lip-reading.
Proceedings of the 15th Web for All Conference, 2018

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Lung Nodule Synthesis Using CNN-Based Latent Data Representation.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Coronary calcification identification in optical coherence tomography using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Improving CNN-Based Viseme Recognition Using Synthetic Data.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Towards View-Independent Viseme Recognition Based on CNNS and Synthetic Data.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Improving Viseme Recognition Using GAN-Based Frontal View Mapping.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
A New Cloud Computing Architecture for the Classification of Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data.
IEEE Geosci. Remote. Sens. Lett., 2017

Fast CNN-Based Document Layout Analysis.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Automatic tracking of vessel-like structures from a single starting point.
Comput. Medical Imaging Graph., 2016

2015
A linked open data architecture for the historical archives of the Getulio Vargas Foundation.
Int. J. Digit. Libr., 2015

On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Exploratory Information Extraction from a Historical Dictionary.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013
A Linked Open Data Architecture for Contemporary Historical Archives.
Proceedings of the 3rd International Workshop on Semantic Digital Archives co-located with 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), 2013

2012
An open source object-based framework to extract landform classes.
Expert Syst. Appl., 2012

2011
Weighting Estimation for Texture-Based Face Recognition Using the Fisher Discriminant.
Comput. Sci. Eng., 2011

2009
Liver Segmentation using Level Sets and Genetic Algorithms.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Application of Neural Networks in Aid for Diagnosis for Patients with Glaucoma.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Automatic Couinaud Liver and Veins Segmentation from CT Images.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2006
A region growing approach for pulmonary vessel tree segmentation using adaptive threshold.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006


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