Leonardo A. F. Mendoza

Orcid: 0000-0002-4246-823X

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


According to our database1, Leonardo A. F. Mendoza authored at least 23 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Multisensor Magnetic Scanning Microscope for Remanent Magnetic Field Measurements.
Sensors, April, 2024


2023
DRQN to optimize viewpoint planning in underwater environments.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese.
Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 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 free web service for fast COVID-19 classification of chest X-Ray images.
CoRR, 2020

An Investigation of Pre-trained Embeddings in Dependency Parsing.
Proceedings of the Computational Processing of the Portuguese Language, 2020

2019
Characterizing Complex Mineral Structures in Thin Sections of Geological Samples with a Scanning Hall Effect Microscope.
Sensors, 2019

Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Severe Asthma Exacerbations Prediction Using Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2019

2018
On the Use of Neuroevolutive Methods as Support Tools for Diagnosing Appendicitis and Tuberculosis.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Multiagent Coordination Systems Based on Neuro-Fuzzy Models with Reinforcement Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Classifying and Grouping Narratives with Convolutional Neural Networks, PCA and t-SNE.
Proceedings of the Hybrid Intelligent Systems, 2018

Estimating the Geological Properties in Oil Reservoirs Through Multi-Gene Genetic Programming.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Deep neural network for EMG signal classification of wrist position: Preliminary results.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016
Computed-torque control of a simulated bipedal robot with locomotion by reinforcement learning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Characterization of sustainability using fuzzy opinion systems.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Polarity classification on web-based reviews using Support Vector Machine.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

PSO+: A nonlinear constraints-handling particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014
Intelligent Multiagent Coordination Based on Reinforcement Hierarchical Neuro-fuzzy Models.
Int. J. Neural Syst., 2014

2010
Classification of Voice Aging Using Parameters Extracted from the Glottal Signal.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010


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