Rodolfo Miranda Pereira

Orcid: 0000-0003-1272-5378

According to our database1, Rodolfo Miranda Pereira authored at least 18 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features.
Neural Process. Lett., October, 2023

2022
COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers.
Sensors, 2022

A multimodal approach for multi-label movie genre classification.
Multim. Tools Appl., 2022

2021
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images.
Sensors, 2021

Automatic chronic degenerative diseases identification using enteric nervous system images.
Neural Comput. Appl., 2021

Toward hierarchical classification of imbalanced data using random resampling algorithms.
Inf. Sci., 2021

Handling imbalance in hierarchical classification problems using local classifiers approaches.
Data Min. Knowl. Discov., 2021

An Evaluation of Segmentation Techniques for Covid-19 Identification in Chest X-Ray.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Analyzing the Impact of Resampling Approaches on Chest X-Ray Images for COVID-19 Identification in a Local Hierarchical Classification Scenario.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
MLTL: A multi-label approach for the Tomek Link undersampling algorithm.
Neurocomputing, 2020

Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images.
CoRR, 2020

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios.
Comput. Methods Programs Biomed., 2020

2019
Representation Learning vs. Handcrafted Features for Music Genre Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Teaching Algorithms for Visually Impaired and Blind Students using Physical Flowcharts and Screen Readers.
Proceedings of the IEEE Frontiers in Education Conference, 2018

2017
Using simplified chords sequences to classify songs genres.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2015
PowerMannaSim: An extension with power consumption modeling to MannaSim, a Wireless Sensor Network module of NS-2.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015


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