VLSI architectures for neural networks. - Philip C. Treleaven; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (IEEE Micro, 1989)

A "Neural-RISC" processor and parallel architecture for neural networks. - Marco Aurélio Pacheco (1991)

A Risc Architecture to Support Neural Net Simulation. - Marco Aurélio Cavalcanti Pacheco; Philip C. Treleaven (IWANN, 1993)

Short Term Load Forecasting Using Neural Nets. - Ricardo Salem Zebulum; Karla Guedes; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (IWANN, 1995)

Evolvable Systems in Hardware Design: Taxonomy, Survey and Applications. - Ricardo Salem Zebulum; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (ICES, 1996)

Analog Circuits Evolution in Extrinsic and Intrinsic Modes. - Ricardo Salem Zebulum; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (ICES, 1998)

Micro Power CMOS Analog Cells. - Fabio A. Salazar; Júlio C. G. Pimentel; Marco Aurélio Pacheco; Marley M. B. R. Vellasco (SBCCI, 1998)

Synthesis of CMOS Operational Amplifiers through Genetic Algorithms. - Ricardo Salem Zebulum; Marco Aurélio Pacheco; Marley M. B. R. Vellasco (SBCCI, 1998)

Evolutionary Systems Applied to the Synthesis of a CPU Controller. - Ricardo Salem Zebulum; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (SEAL, 1998)

Artificial Evolution of Active Filters: A Case Study. - Ricardo Salem Zebulum; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (Evolvable Hardware, 1999)

Mobile Robot Path Planning Using Genetic Algorithms. - Carlos E. Thomaz; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (IWANN (1), 1999)

Rule-Evolver: An Evolutionary Approach for Data Mining. - Carlos Lopes; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Emmanuel L. P. Passos (RSFDGrC, 1999)

Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers. - Milton Jonathan; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Ricardo Salem Zebulum (Evolvable Hardware, 2000)

A Reconfigurable Platform for the Automatic Synthesis of Analog Circuits. - Ricardo Salem Zebulum; Cristina Costa Santini; Helio Takahiro Sinohara; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Moisés H. Szwarcman (Evolvable Hardware, 2000)

Web Text Mining Using a Hybrid System. - Fernando Hideo Fukuda; Luiz Biondi Neto; Vincenzo de Roberto Junior; Elias Restum Antonio; Luiz Chiganer; Emmanuel L. P. Passos; Marco Aurélio Cavalcanti Pacheco; Jorge Valério (SBRN, 2000)

Hierarchical Neuro-Fuzzy BSP Model - HNFB. - Flávio Joaquim de Souza; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (SBRN, 2000)

Variable Length Representation in Evolutionary Electronics. - Ricardo Salem Zebulum; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (Evol. Comput., 2000)

The energy minimization method: a multiobjective fitness evaluation technique and its application to the production scheduling in a petroleum refinery. - Mayron Rodrigues de Almeida; Silvio Hamacher; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (CEC, 2001)

Pama - Programmable Analog Multiplexer Array. - Cristina Costa Santini; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Moisés H. Szwarcman; Ricardo Salem Zebulum (Evolvable Hardware, 2001)

Repair Of Analog Circuits: Extrinsic And Intrinsic Evolutionary Techniques . - Helio Takahiro Sinohara; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (Evolvable Hardware, 2001)

The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting. - Flávio Joaquim de Souza; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (IWANN (1), 2001)

An Adaptive Network Routing Strategy with Temporal Differences. - Yván J. Túpac Valdivia; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (Inteligencia Artif., 2001)

A Neural Network System for Patch Load Prediction. - Elaine T. Fonseca; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco; Pedro C. G. da S. Vellasco; Sebastião A. L. de Andrade (J. Intell. Robotic Syst., 2001)

Towards Evolvable Analog Fuzzy Logic Controllers. - José Franco Machado do Amaral; Jorge Luís Machado do Amaral; Cristina Costa Santini; Ricardo Tanscheit; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (Evolvable Hardware, 2002)

Evolutionary analog circuit design on a programmable analog multiplexer array. - Cristina Costa Santini; José F. M. do Amaral; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Moisés H. Szwarcman (FPT, 2002)

Bayesian Neural Networks on the Inference of Distillation Product Qualit. - Carlos R. Hall Barbosa; B. Melo; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco; L. P. Vasconcellos (SBRN, 2002)

Hierarchical neuro-fuzzy quadtree models. - Flávio Joaquim de Souza; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (Fuzzy Sets Syst., 2002)

Load forecasting with the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model. - Flávio Joaquim de Souza; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (Int. J. Comput. Syst. Signals, 2002)

Evolvable Building Blocks for Analog Fuzzy Logic Controllers. - Jorge Luís Machado do Amaral; José Franco Machado do Amaral; Cristina Costa Santini; Ricardo Tanscheit; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco; Antonio Carneiro de Mesquita Filho (Evolvable Hardware, 2003)

Hierarchical Neuro-Fuzzy Systems. - Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco; Karla Figueiredo (IWANN (1), 2003)

Towards Evolvable Analog Artificial Neural Networks Controllers. - José Franco Machado do Amaral; Jorge Luís Machado do Amaral; Cristina Costa Santini; Ricardo Tanscheit; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (Evolvable Hardware, 2004)

An Immune Inspired Fault Diagnosis System for Analog Circuits using Wavelet Signatures. - Jorge Luís Machado do Amaral; José Franco Machado do Amaral; Ricardo Tanscheit; Marco Aurélio Cavalcanti Pacheco (Evolvable Hardware, 2004)

Data Mining Techniques on the Evaluation of Wireless Churn. - Jorge Ferreira; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco; Carlos R. Hall Barbosa (ESANN, 2004)

Evolvability and reconfigurability. - Cristina Costa Santini; José F. M. do Amaral; Marco Aurélio Cavalcanti Pacheco; Ricardo Tanscheit (FPT, 2004)

Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents. - Karla Figueiredo; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco; Flávio Joaquim de Souza (HIS, 2004)

Intrinsic Evolution of Analog Circuits on a Programmable Analog Multiplexer Array. - José Franco Machado do Amaral; Jorge Luís Machado do Amaral; Cristina Costa Santini; Marco Aurélio Cavalcanti Pacheco; Ricardo Tanscheit; Moisés H. Szwarcman (International Conference on Computational Science, 2004)

Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems. - André Vargas Abs da Cruz; Carlos R. Hall Barbosa; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (ICONIP, 2004)

Schemata Theory for the real coding and arithmetical operators. - Diego F. Nehab; Marco Aurélio Cavalcanti Pacheco (SAC, 2004)

Tuning Evolvable PID Controllers through a Clonal Selection Algorithm. - Jorge Luís Machado do Amaral; José Franco Machado do Amaral; Ricardo Tanscheit; Marco Aurélio Cavalcanti Pacheco; Antonio Carneiro de Mesquita Filho (Evolvable Hardware, 2005)

Molecular Circuit Design. - Leone Pereira Masiero; Marco Aurélio Cavalcanti Pacheco; Carlos R. Hall Barbosa; Cristina Costa Santini (Evolvable Hardware, 2005)

Reinforcement Learning-Hierarchical Neuro-Fuzzy Politree Model for Autonomous Agents - Evaluation in a Multi-Obstacle Environment. - Karla Figueiredo; Luciana C. D. Campos; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (HIS, 2005)

Determination of Real Options Value by Monte Carlo Simulation and Fuzzy Numbers. - Juan G. Lazo Lazo; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (HIS, 2005)

Hierarchical Neuro-fuzzy Models Based on Reinforcement Learning for Intelligent Agents. - Karla Figueiredo; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (IWANN, 2005)

Cultural Operators for a Quantum-Inspired Evolutionary Algorithm Applied to Numerical Optimization Problems. - André Vargas Abs da Cruz; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Carlos R. Hall Barbosa (IWINAC (2), 2005)

Evolvable Hardware Applied to Nanotechnology. - Omar Paranaiba Vilela Neto; Leone Pereira Masiero; Marco Aurélio Cavalcanti Pacheco; Carlos R. Hall Barbosa (AHS, 2006)

Quantum-Inspired Evolutionary Algorithm for Numerical Optimization. - André Vargas Abs da Cruz; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (IEEE Congress on Evolutionary Computation, 2006)

Genetic Programming of a Microcontrolled Water Bath Plant. - Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco; José Franco Machado do Amaral (KES (3), 2006)

Inverted hierarchical neuro-fuzzy BSP system: a novel neuro-fuzzy model for pattern classification and rule extraction in databases. - Luciana Brugiolo Gonçalves; Marley M. B. R. Vellasco; Marco Aurélio Pacheco; Flávio Joaquim de Souza (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming. - Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco; José F. M. do Amaral (Genetic Systems Programming, 2006)

Refinery Scheduling Optimization using Genetic Algorithms and Cooperative Coevolution. - Leonard M. Sim; Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco (CISched, 2007)

Neural Networks for Inflow Forecasting Using Precipitation Information. - Karla Figueiredo; Carlos R. Hall Barbosa; André Vargas Abs da Cruz; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco; Roxana Jiménez Conteras (IEA/AIE, 2007)

Evolutionary Computation for Valves Control Optimization in Intelligent Wells Under Uncertainties. - Luciana Faletti Almeida; Yván J. Túpac Valdivia; Juan G. Lazo Lazo; Marco Aurélio Cavalcanti Pacheco; Marley Maria Bernardes Rebuzzi Vellasco (IFSA (2), 2007)

Real Options and Genetic Algorithms to Approach of the Optimal Decision Rule for Oil Field Development Under Uncertainties. - Juan G. Lazo Lazo; Marco Aurélio Cavalcanti Pacheco; Marley Maria Bernardes Rebuzzi Vellasco (IFSA (2), 2007)

A Fuzzy Approach to the Study of Human Reliability in the Petroleum Industry. - Jesus Domech More; Ricardo Tanscheit; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco; D. M. Swarcman (IFSA (2), 2007)

Neural Network Simulation and Evolutionary Synthesis of QCA Circuits. - Omar Paranaiba Vilela Neto; Marco Aurélio Cavalcanti Pacheco; Carlos R. Hall Barbosa (IEEE Trans. Computers, 2007)

Evolutionary System with Precedence Constraints for Ore Harbor Schedule Optimization. - André Vargas Abs da Cruz; Marley M. B. R. Vellasco; Marco Aurélio Cavalcanti Pacheco (EvoWorkshops, 2008)

Quantum-Inspired Evolutionary Algorithm for Numerical Optimization. - André Vargas Abs da Cruz; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (Quantum Inspired Intelligent Systems, 2008)

Toward a Quantum-Inspired Linear Genetic Programming model. - Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco (IEEE Congress on Evolutionary Computation, 2009)

A Fuzzy System for the Assessment of Human Reliability. - Dilza Szwarcman; Jesus Domech More; Ricardo Tanscheit; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco; Nicholas Ribeiro (IFSA/EUSFLAT Conf., 2009)

Irregularity detection on low tension electric installations by neural network ensembles. - Cyro Muniz; Karla Figueiredo; Marley Maria Bernardes Rebuzzi Vellasco; Gustavo Chavez; Marco Aurélio Cavalcanti Pacheco (IJCNN, 2009)

Hierarchical Neuro-Fuzzy Systems Part I. - Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco; Karla Figueiredo; Flávio Joaquim de Souza (Encyclopedia of Artificial Intelligence, 2009)

Hierarchical Neuro-Fuzzy Systems Part II. - Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco; Karla Figueiredo; Flávio Joaquim de Souza (Encyclopedia of Artificial Intelligence, 2009)

Quantum-Inspired Evolutionary Algorithms applied to numerical optimization problems. - André Vargas Abs da Cruz; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (IEEE Congress on Evolutionary Computation, 2010)

LU Decomposition on GPUs: The Impact of Memory Access. - Leandro F. Cupertino; Anderson P. Singulani; Cleomar Pereira da Silva; Marco Aurélio Cavalcanti Pacheco; Ricardo C. Farias (SBAC-PAD (Workshops), 2010)

Exploring Data Streaming to Improve 3D FFT Implementation on Multiple GPUs. - Cleomar Pereira da Silva; Leandro F. Cupertino; Daniel Salles Chevitarese; Marco Aurélio Cavalcanti Pacheco; Cristiana Bentes (SBAC-PAD (Workshops), 2010)

A parallel evolutionary algorithm to search for global minima geometries of heterogeneous ab initio atomic clusters. - Omar Paranaiba Vilela Neto; Marco Aurélio Cavalcanti Pacheco (IEEE Congress on Evolutionary Computation, 2011)

Evolving CUDA PTX programs by quantum inspired linear genetic programming. - Leandro F. Cupertino; Cleomar Pereira da Silva; Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco; Cristiana Bentes (GECCO (Companion), 2011)

A Genetic Algorithm Applied to a Main Sequence Stellar Model. - Gabriela de Oliveira Penna Tavares; Marco Aurélio Cavalcanti Pacheco (HAIS (1), 2011)

Modeling the young modulus of nanocomposites: A neural network approach. - Leandro F. Cupertino; Omar Paranaiba Vilela Neto; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; Jose Roberto d'Almeida (IJCNN, 2011)

Describing Quantum-Inspired Linear Genetic Programming from symbolic regression problems. - Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco (IEEE Congress on Evolutionary Computation, 2012)

Evolutionary algorithms applied to elucidate ionic water cluster structure formation. - Omar Paranaiba Vilela Neto; André Silva Pimentel; Marco Aurélio Cavalcanti Pacheco; Ênio Frota da Silveira (GECCO, 2012)

Combining Forecasts: A Genetic Programming Approach. - Adriano S. Koshiyama; Tatiana Escovedo; Douglas Mota Dias; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (Int. J. Nat. Comput. Res., 2012)

Numerical optimization by multi-gene genetic programming. - Adriano Soares Koshiyama; Douglas Mota Dias; André Vargas Abs da Cruz; Marco Aurélio Cavalcanti Pacheco (GECCO (Companion), 2013)

Quantum-Inspired Linear Genetic Programming as a Knowledge Management System. - Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco (Comput. J., 2013)

Optimized energy diagnostics in energy efficiency projects managed by demand side. - Jose Eduardo Nunes da Rocha; Marco Aurélio Cavalcanti Pacheco (SSD, 2014)

Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. - Guilherme Cesário Strachan; Adriano S. Koshiyama; Douglas Mota Dias; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (BRACIS, 2014)

Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach. - Eric da Silva Praxedes; Adriano S. Koshiyama; Elita Selmara Abreu; Douglas Mota Dias; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (GECCO, 2014)

Towards a quantum-inspired multi-gene linear genetic programming model. - Guilherme Cesário Strachan; Adriano Soares Koshiyama; Douglas Mota Dias; Marley Maria Bernardes Rebuzzi Vellasco; Marco Aurélio Cavalcanti Pacheco (GECCO (Companion), 2014)

Use of graphics processing units for automatic synthesis of programs. - Cleomar Pereira da Silva; Douglas Mota Dias; Cristiana Bentes; Marco Aurélio Cavalcanti Pacheco (Comput. Electr. Eng., 2015)

Evolving GPU machine code. - Cleomar Pereira da Silva; Douglas Mota Dias; Cristiana Bentes; Marco Aurélio Cavalcanti Pacheco; Leandro Fontoura Cupertino (J. Mach. Learn. Res., 2015)

Optimizing natural gas sensors allocation in oil platforms using genetic algorithms. - Dinart Duarte Braga; Marco Aurélio Cavalcanti Pacheco (CEC, 2016)

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)

Genetic programming and automatic differentiation algorithms applied to the solution of ordinary and partial differential equations. - Waldir Jesus de Araujo Lobão; Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco (CEC, 2016)

A genetic algorithm approach for the master surgical schedule problem. - Janaina Figueira Marchesi; Marco Aurélio Cavalcanti Pacheco (EAIS, 2016)

Application of Cellular Genetic Algorithms and Space Efficient Chromosomes to Wells Placement in Oil Fields. - Alexandre Ashade Lassance Cunha; Giulia Duncan Coutinho; Alan Porto Bontempo; Marco Aurélio Cavalcanti Pacheco (IntelliSys (1), 2016)

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

A Biased Random-Key Genetic Algorithm for the Rescue Unit Allocation and Scheduling Problem. - Victor Cunha; Luciana S. Pessoa; Marley M. B. R. Vellasco; Ricardo Tanscheit; Marco Aurélio Cavalcanti Pacheco (CEC, 2018)

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)

Solving stochastic differential equations through genetic programming and automatic differentiation. - Waldir Jesus de Araujo Lobão; Marco Aurélio Cavalcanti Pacheco; Douglas Mota Dias; Ana Carolina Alves Abreu (Eng. Appl. Artif. Intell., 2018)

Estimation of the displacements among distant events based on parallel tracking of events in seismic traces under uncertainty. - Samuel G. Huamán Bustamante; Marco Aurélio Cavalcanti Pacheco; Juan G. Lazo Lazo (Comput. Geosci., 2018)

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)

Sentiment Analysis of YouTube Video Comments Using Deep Neural Networks. - Alexandre Ashade Lassance Cunha; Melissa Carvalho Costa; Marco Aurélio Cavalcanti Pacheco (ICAISC (1), 2019)

Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks. - Allan Gurwicz; Smith W. Arauco Canchumuni; Marco Aurélio Cavalcanti Pacheco (ICAISC (1), 2019)

Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother. - Smith W. A. Canchumuni; Alexandre Anozé Emerick; Marco Aurélio Cavalcanti Pacheco (Comput. Geosci., 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)

Towards a Benchmark for Sedimentary Facies Classification: Applied to the Netherlands F3 Block. - Maykol J. Campos Trinidad; Smith W. Arauco Canchumuni; Marco Aurélio Cavalcanti Pacheco (SIMBig, 2020)

Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching. - Smith W. A. Canchumuni; Jose David Bermudez Castro; Júlia Potratz; Alexandre Anozé Emerick; Marco Aurélio Cavalcanti Pacheco (CoRR, 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)

Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery. - Cristiane Salgado Pereira; Douglas Mota Dias; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco; André Vargas Abs da Cruz; Estefane Horn Hollmann (IEEE Syst. J., 2020)

Training an Agent to Find and Reach an Object in Different Environments using Visual Reinforcement Learning and Transfer Learning. - Evelyn Conceição Santos Batista; Wouter Caarls; Leonardo A. Forero; Marco Aurélio Pacheco (ICAART (2), 2021)

Improvement Optical Character Recognition for Structured Documents using Generative Adversarial Networks. - Jose David Bermudez Castro; Smith W. Arauco Canchumuni; Cristian E. Muñoz Villalobos; Fábio Corrêa Cordeiro; Antônio Marcelo Azevedo Alexandre; Marco Aurélio Cavalcanti Pacheco (ICCSA (Workshops), 2021)

Data Science Mentoring Support using Neural Networks. - Maykol J. Campos Trinidad; Felipe Borges Coelho; Smith W. Arauco Canchumuni; Marco Aurélio Cavalcanti Pacheco (ICCSA (Workshops), 2021)

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)

A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images. - William Ramirez; Pedro Achanccaray Diaz; Marco Aurélio Pacheco (Discov. Artif. Intell., 2022)

Assessing fuel tax revenues - Study on impact of reducing fuel taxes using artificial intelligence. - Felipe Borges Coelho; Smith W. Arauco Canchumuni; Marco Aurélio Cavalcanti Pacheco (AICCSA, 2023)

Seismic Fault Segmentation Using Unsupervised Domain Adaptation. - Maykol J. Campos Trinidad; Smith W. Arauco Canchumuni; Marco Aurélio Cavalcanti Pacheco (AICCSA, 2023)

Learning by Small Loss Approach Multi-label to Deal with Noisy Labels. - Vitor Sousa; Amanda Lucas Pereira; Manoela Kohler; Marco Aurélio Pacheco (ICCSA (1), 2023)

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

Remaining Useful Life Prediction of Turbofan Engines with Fuzzy Systems. - Marcelo Aguiar; Marley M. B. R. Vellasco; Ricardo Tanscheit; Manoela Kohler; Marco Aurélio Pacheco (LA-CCI, 2024)

Lithology Identification in Carbonate Thin Section Images of the Brazilian Pre-Salt Reservoirs. - Abdigal Camargo; Geilson Araujo; Alexandre Sanchetta; Manoela Kohler; Mauro Becker; Marco Aurélio Pacheco; Thais Fernandes; Bernardo Coutinho (LA-CCI, 2024)

Exploring State-of-the-Art LLMs from BERT to XLNet: A study over Question Answering. - Laura M. Parra Navarro; Evelyn Conceição Santos Batista; Marco Aurélio Pacheco (LA-CCI, 2024)

Semi and Self-supervised Learning for Multi-label Image Classification: An Underwater Inspection Imagery Application. - Amanda Lucas Pereira; Manoela Kohler; Jose David Bermudez Castro; Marco Aurélio Cavalcanti Pacheco (LA-CCI, 2024)

Canopy Height Estimation in Brazilian Amazon using Multisource Remote Sensing Datasets. - Paola Edith Ayma Quirita; Abdigal Gabriel Camargo Barra; Laura Milena Parra Navarro; Amanda Lucas Pereira; Jose David Bermudez Castro; Manoela Kohler; Marco Aurélio Pacheco (LA-CCI, 2024)

Classification of calcareous algae under noisy labels. - Vitor Bento; Manoela Kohler; Marco Aurélio Pacheco (Neural Comput. Appl., 2024)