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Leonardo A. F. Mendoza
Person information
- affiliation: Pontifical Catholic University of Rio de Janeiro, Electrical Engineering Department, Brazil
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2020 – today
- 2024
- [j4]João F. Chaves, Leosdan F. Noris, Elder Yokoyama, Fredy G. Osorio G., Leonardo A. F. Mendoza, Jefferson F. D. F. Araújo:
Multisensor Magnetic Scanning Microscope for Remanent Magnetic Field Measurements. Sensors 24(7): 2294 (2024) - [c18]Vinicius Kreischer de Almeida, Douglas Ericson Marcelino de Oliveira, Claudio Daniel Tenorio de Barros, Gabriel dos Santos Scatena, Asdrubal N. Queiroz Filho, Fábio Levy Siqueira, Anna Helena Reali Costa, Edson Satoshi Gomi, Leonardo A. F. Mendoza, Evelyn Conceição Santos Batista, Cristian E. Muñoz, Isabela Guimarães Siqueira, Rodrigo A. Barreira, Ismael H. F. dos Santos, Carlos Cardoso, Eduardo S. Ogasawara, Fábio Porto:
A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. MoDELS (Companion) 2024: 322-331 - 2023
- [c17]Evelyn Conceição Santos Batista, Wouter Caarls, Leonardo A. F. Mendoza, Marco Aurélio Pacheco:
DRQN to optimize viewpoint planning in underwater environments. LA-CCI 2023: 1-6 - 2022
- [c16]Jose David Bermudez Castro, Jose E. Ruiz, Pedro Achanccaray Diaz, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Felipe Borges Coelho, Leonardo Forero Mendoza, Marco Aurélio Cavalcanti Pacheco:
A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence. ICCSA (1) 2022: 412-427 - [c15]Cristian E. Muñoz Villalobos, Leonardo Forero Mendoza, Harold Dias de Mello, César H. Valencia, Alvaro Orjuela, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco:
Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese. NLPIR 2022: 205-209 - 2021
- [j3]Vitor Bento, Manoela Kohler, Pedro Achanccaray Diaz, Leonardo A. F. Mendoza, Marco Aurélio Pacheco:
Improving deep learning performance by using Explainable Artificial Intelligence (XAI) approaches. Discov. Artif. Intell. 1(1) (2021) - 2020
- [c14]Juliana C. Carvalho de Araújo, Cláudia Freitas, Marco Aurélio Cavalcanti Pacheco, Leonardo A. Forero Mendoza:
An Investigation of Pre-trained Embeddings in Dependency Parsing. PROPOR 2020: 281-290 - [i1]Jose David Bermudez Castro, Ricardo Rei, Jose E. Ruiz, Pedro Achanccaray Diaz, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Felipe Borges Coelho, Leonardo Forero Mendoza, Marco Aurélio Cavalcanti Pacheco:
A free web service for fast COVID-19 classification of chest X-Ray images. CoRR abs/2009.01657 (2020)
2010 – 2019
- 2019
- [j2]Jefferson F. D. F. Araújo, Andre L. A. Reis, Vanderlei C. Oliveira Jr., Amanda F. Santos, Cleanio Luz-Lima, Elder Yokoyama, Leonardo A. F. Mendoza, João M. B. Pereira, Antonio C. Bruno:
Characterizing Complex Mineral Structures in Thin Sections of Geological Samples with a Scanning Hall Effect Microscope. Sensors 19(7): 1636 (2019) - [c13]Arthur Silveira, Cristian E. Muñoz, Leonardo A. F. Mendoza:
Severe Asthma Exacerbations Prediction Using Neural Networks. EANN 2019: 115-124 - [c12]Leonardo Forero Mendoza, Manoela Kohler, Cristian E. Muñoz, Evelyn Conceição Santos Batista, Marco Aurélio Pacheco:
Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM. ICAART (2) 2019: 19-28 - [c11]Gabriel Lins Tenório, Cristian E. Muñoz Villalobos, Leonardo A. Forero Mendoza, Eduardo Costa da Silva, Wouter Caarls:
Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data. ICAART (2) 2019: 174-183 - 2018
- [c10]Jeff A. Maynard, Alvaro Talavera, Leonardo Forero, Marco Aurélio Cavalcanti Pacheco:
Estimating the Geological Properties in Oil Reservoirs Through Multi-Gene Genetic Programming. CEC 2018: 1-5 - [c9]Manoela Kohler, Leonardo Sondermann, Leonardo Forero, Marco Aurélio Cavalcanti Pacheco:
Classifying and Grouping Narratives with Convolutional Neural Networks, PCA and t-SNE. HIS 2018: 22-30 - [c8]Leonardo Alfredo Mendoza, Evelyn Batista, Harold Dias de Mello, Marco Aurélio Pacheco:
Multiagent Coordination Systems Based on Neuro-Fuzzy Models with Reinforcement Learning. ICMLA 2018: 931-937 - [c7]Alvaro David Orjuela-Cañón, Hugo Fernando Posada Quintero, Cesar Hernando Valencia, Leonardo A. F. Mendoza:
On the Use of Neuroevolutive Methods as Support Tools for Diagnosing Appendicitis and Tuberculosis. WEA (1) 2018: 171-181 - 2017
- [c6]Alvaro David Orjuela-Cañón, Andrés Felipe Ruiz Olaya, Leonardo Forero:
Deep neural network for EMG signal classification of wrist position: Preliminary results. LA-CCI 2017: 1-5 - 2016
- [c5]Manoela Kohler, Leonardo Forero, Marley M. B. R. Vellasco, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco:
PSO+: A nonlinear constraints-handling particle swarm optimization. CEC 2016: 2518-2523 - [c4]Renato S. C. da Rocha, Leonardo Forero, Harold Dias de Mello, Manoela Kohler, Marley M. B. R. Vellasco:
Polarity classification on web-based reviews using Support Vector Machine. LA-CCI 2016: 1-6 - [c3]Alvaro Talavera, Leonardo Forero, Manoela Kohler, Marco Aurélio Pacheco:
Characterization of sustainability using fuzzy opinion systems. LA-CCI 2016: 1-6 - [c2]Carlos Magno C. O. Valle, Ricardo Tanscheit, Leonardo A. Forero Mendoza:
Computed-torque control of a simulated bipedal robot with locomotion by reinforcement learning. LA-CCI 2016: 1-6 - 2014
- [j1]Leonardo Forero Mendoza, Marley M. B. R. Vellasco, Karla Figueiredo:
Intelligent Multiagent Coordination Based on Reinforcement Hierarchical Neuro-fuzzy Models. Int. J. Neural Syst. 24(8) (2014) - 2010
- [c1]Leonardo Alfredo Forero Mendoza, Edson Cataldo, Marley M. B. R. Vellasco, Marco Silva:
Classification of Voice Aging Using Parameters Extracted from the Glottal Signal. ICANN (3) 2010: 149-156
Coauthor Index
aka: Marco Aurélio Cavalcanti Pacheco
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