Classification of Voice Aging Using Parameters Extracted from the Glottal Signal. - Leonardo Alfredo Forero Mendoza; Edson Cataldo; Marley M. B. R. Vellasco; Marco Silva 002 (ICANN (3), 2010)

Intelligent Multiagent Coordination Based on Reinforcement Hierarchical Neuro-fuzzy Models. - Leonardo Forero Mendoza; Marley M. B. R. Vellasco; Karla Figueiredo (Int. J. Neural Syst., 2014)

PSO+: A nonlinear constraints-handling particle swarm optimization. - Manoela Kohler; Leonardo Forero 001; Marley M. B. R. Vellasco; Ricardo Tanscheit; Marco Aurélio Cavalcanti Pacheco (CEC, 2016)

Polarity classification on web-based reviews using Support Vector Machine. - Renato S. C. da Rocha; Leonardo Forero 001; Harold Dias de Mello; Manoela Kohler; Marley M. B. R. Vellasco (LA-CCI, 2016)

Characterization of sustainability using fuzzy opinion systems. - Alvaro Talavera; Leonardo Forero 001; Manoela Kohler; Marco Aurélio Pacheco (LA-CCI, 2016)

Computed-torque control of a simulated bipedal robot with locomotion by reinforcement learning. - Carlos Magno C. O. Valle; Ricardo Tanscheit; Leonardo A. Forero Mendoza (LA-CCI, 2016)

Deep neural network for EMG signal classification of wrist position: Preliminary results. - Alvaro David Orjuela-Cañón; Andrés Felipe Ruiz Olaya; Leonardo Forero 001 (LA-CCI, 2017)

Estimating the Geological Properties in Oil Reservoirs Through Multi-Gene Genetic Programming. - Jeff A. Maynard; Alvaro Talavera; Leonardo Forero 001; Marco Aurélio Cavalcanti Pacheco (CEC, 2018)

Classifying and Grouping Narratives with Convolutional Neural Networks, PCA and t-SNE. - Manoela Kohler; Leonardo Sondermann; Leonardo Forero 001; Marco Aurélio Cavalcanti Pacheco (HIS, 2018)

Multiagent Coordination Systems Based on Neuro-Fuzzy Models with Reinforcement Learning. - Leonardo Alfredo Mendoza; Evelyn Batista; Harold Dias de Mello; Marco Aurélio Pacheco (ICMLA, 2018)

On the Use of Neuroevolutive Methods as Support Tools for Diagnosing Appendicitis and Tuberculosis. - Alvaro David Orjuela-Cañón; Hugo Fernando Posada Quintero; Cesar Hernando Valencia; Leonardo A. F. Mendoza (WEA (1), 2018)

Severe Asthma Exacerbations Prediction Using Neural Networks. - Arthur Silveira; Cristian E. Muñoz; Leonardo A. F. Mendoza (EANN, 2019)

Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM. - Leonardo Forero Mendoza; Manoela Kohler; Cristian E. Muñoz; Evelyn Conceição Santos Batista; Marco Aurélio Pacheco (ICAART (2), 2019)

Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data. - Gabriel Lins Tenório; Cristian E. Muñoz Villalobos; Leonardo A. Forero Mendoza; Eduardo Costa da Silva; Wouter Caarls (ICAART (2), 2019)

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

An Investigation of Pre-trained Embeddings in Dependency Parsing. - Juliana C. Carvalho de Araújo; Cláudia Freitas; Marco Aurélio Cavalcanti Pacheco; Leonardo A. Forero Mendoza (PROPOR, 2020)

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

Improving deep learning performance by using Explainable Artificial Intelligence (XAI) approaches. - Vitor Bento; Manoela Kohler; Pedro Achanccaray Diaz; Leonardo A. F. Mendoza; Marco Aurélio Pacheco (Discov. Artif. Intell., 2021)

A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence. - 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 (ICCSA (1), 2022)

Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese. - Cristian E. Muñoz Villalobos; Leonardo Forero Mendoza; Harold Dias de Mello; César H. Valencia; Alvaro Orjuela 002; Ricardo Tanscheit; Marco Aurélio Cavalcanti Pacheco (NLPIR, 2022)

DRQN to optimize viewpoint planning in underwater environments. - Evelyn Conceição Santos Batista; Wouter Caarls; Leonardo A. F. Mendoza; Marco Aurélio Pacheco (LA-CCI, 2023)

A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. - 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; et al. (MoDELS (Companion), 2024)

Multisensor Magnetic Scanning Microscope for Remanent Magnetic Field Measurements. - João F. Chaves; Leosdan F. Noris; Elder Yokoyama; Fredy G. Osorio G.; Leonardo A. F. Mendoza; Jefferson F. D. F. Araújo (Sensors, 2024)