Pedro Achanccaray Diaz

Orcid: 0000-0002-7324-9611

Affiliations:
  • Pontifical Catholic University of Rio de Janeiro, Brazil


According to our database1, Pedro Achanccaray Diaz authored at least 12 papers between 2015 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022

A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images.
Discov. Artif. Intell., 2022

A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2021
Improving deep learning performance by using Explainable Artificial Intelligence (XAI) approaches.
Discov. Artif. Intell., 2021

2020
A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery.
Remote. Sens., 2020

A free web service for fast COVID-19 classification of chest X-Ray images.
CoRR, 2020

2018
Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical Areas.
IEEE Geosci. Remote. Sens. Lett., 2018

2017
A Comparative Analysis of Deep Learning Techniques for Sub-Tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Spatial-temporal conditional random field based model for crop recognition in tropical regions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
Segmentation as postprocessing for hyperspectral image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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