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2020 – today
- 2024
[j19]Vitor Bento
, Manoela Kohler, Marco Aurélio Pacheco:
Classification of calcareous algae under noisy labels. Neural Comput. Appl. 36(6): 3197-3214 (2024)- 2023
- [c87]Felipe Borges Coelho, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco:
Assessing fuel tax revenues - Study on impact of reducing fuel taxes using artificial intelligence. AICCSA 2023: 1-8 - [c86]Maykol J. Campos Trinidad, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco:
Seismic Fault Segmentation Using Unsupervised Domain Adaptation. AICCSA 2023: 1-8 - [c85]Vitor Sousa, Amanda Lucas Pereira, Manoela Kohler, Marco Aurélio Pacheco:
Learning by Small Loss Approach Multi-label to Deal with Noisy Labels. ICCSA (1) 2023: 385-403 - [c84]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
- [j18]William Ramirez, Pedro Achanccaray Diaz, Marco Aurélio Pacheco:
A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images. Discov. Artif. Intell. 2(1) (2022) - [c83]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 - [c82]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
- [j17]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) - [c81]Evelyn Conceição Santos Batista, Wouter Caarls, Leonardo A. Forero, Marco Aurélio Pacheco:
Training an Agent to Find and Reach an Object in Different Environments using Visual Reinforcement Learning and Transfer Learning. ICAART (2) 2021: 732-741 - [c80]Maykol J. Campos Trinidad, Felipe Borges Coelho, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco:
Data Science Mentoring Support using Neural Networks. ICCSA (Workshops) 2021: 276-284 - [c79]Jose David Bermudez Castro, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Fábio Corrêa Cordeiro, Antônio Marcelo Azevedo Alexandre, Marco Aurélio Cavalcanti Pacheco:
Improvement Optical Character Recognition for Structured Documents using Generative Adversarial Networks. ICCSA (Workshops) 2021: 285-292 - 2020
- [j16]Cristiane Salgado Pereira, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, André Vargas Abs da Cruz, Estefane Horn Hollmann:
Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery. IEEE Syst. J. 14(3): 3926-3937 (2020) - [c78]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 - [c77]Maykol J. Campos Trinidad, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco:
Towards a Benchmark for Sedimentary Facies Classification: Applied to the Netherlands F3 Block. SIMBig 2020: 211-222 - [i3]Smith W. A. Canchumuni, Jose David Bermudez Castro, Júlia Potratz, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco:
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching. CoRR abs/2005.10638 (2020) - [i2]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
- [j15]Smith W. A. Canchumuni, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco:
Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother. Comput. Geosci. 128: 87-102 (2019) - [c76]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 - [c75]Allan Gurwicz, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco:
Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks. ICAISC (1) 2019: 73-84 - [c74]Alexandre Ashade Lassance Cunha, Melissa Carvalho Costa, Marco Aurélio Cavalcanti Pacheco:
Sentiment Analysis of YouTube Video Comments Using Deep Neural Networks. ICAISC (1) 2019: 561-570 - 2018
- [j14]Waldir Jesus de Araujo Lobão, Marco Aurélio Cavalcanti Pacheco, Douglas Mota Dias, Ana Carolina Alves Abreu:
Solving stochastic differential equations through genetic programming and automatic differentiation. Eng. Appl. Artif. Intell. 68: 110-120 (2018) - [j13]Samuel G. Huamán Bustamante, Marco Aurélio Cavalcanti Pacheco, Juan G. Lazo Lazo:
Estimation of the displacements among distant events based on parallel tracking of events in seismic traces under uncertainty. Comput. Geosci. 116: 81-90 (2018) - [c73]Victor Cunha, Luciana S. Pessoa, Marley M. B. R. Vellasco, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco:
A Biased Random-Key Genetic Algorithm for the Rescue Unit Allocation and Scheduling Problem. CEC 2018: 1-6 - [c72]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 - [c71]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 - [c70]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 - [i1]Smith W. A. Canchumuni, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco:
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother. CoRR abs/1812.06900 (2018) - 2016
- [c69]Dinart Duarte Braga, Marco Aurélio Cavalcanti Pacheco:
Optimizing natural gas sensors allocation in oil platforms using genetic algorithms. CEC 2016: 1356-1360 - [c68]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 - [c67]Waldir Jesus de Araujo Lobão, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
Genetic programming and automatic differentiation algorithms applied to the solution of ordinary and partial differential equations. CEC 2016: 5286-5292 - [c66]Janaina Figueira Marchesi, Marco Aurélio Cavalcanti Pacheco:
A genetic algorithm approach for the master surgical schedule problem. EAIS 2016: 17-21 - [c65]Alexandre Ashade Lassance Cunha, Giulia Duncan Coutinho, Alan Porto Bontempo, Marco Aurélio Cavalcanti Pacheco:
Application of Cellular Genetic Algorithms and Space Efficient Chromosomes to Wells Placement in Oil Fields. IntelliSys (1) 2016: 54-69 - [c64]Alvaro Talavera, Leonardo Forero, Manoela Kohler, Marco Aurélio Pacheco:
Characterization of sustainability using fuzzy opinion systems. LA-CCI 2016: 1-6 - 2015
- [j12]Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Marco Aurélio Cavalcanti Pacheco:
Use of graphics processing units for automatic synthesis of programs. Comput. Electr. Eng. 46: 112-122 (2015) - [j11]Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Marco Aurélio Cavalcanti Pacheco, Leandro Fontoura Cupertino:
Evolving GPU machine code. J. Mach. Learn. Res. 16: 673-712 (2015) - 2014
- [c63]Jose Eduardo Nunes da Rocha, Marco Aurélio Cavalcanti Pacheco:
Optimized energy diagnostics in energy efficiency projects managed by demand side. SSD 2014: 1-6 - [c62]Guilherme Cesário Strachan, Adriano S. Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. BRACIS 2014: 152-157 - [c61]Guilherme Cesário Strachan, Adriano Soares Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Towards a quantum-inspired multi-gene linear genetic programming model. GECCO (Companion) 2014: 149-150 - [c60]Eric da Silva Praxedes, Adriano S. Koshiyama, Elita Selmara Abreu, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach. GECCO 2014: 1151-1158 - 2013
- [j10]Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
Quantum-Inspired Linear Genetic Programming as a Knowledge Management System. Comput. J. 56(9): 1043-1062 (2013) - [c59]Adriano Soares Koshiyama, Douglas Mota Dias, André Vargas Abs da Cruz, Marco Aurélio Cavalcanti Pacheco:
Numerical optimization by multi-gene genetic programming. GECCO (Companion) 2013: 145-146 - 2012
- [j9]Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Combining Forecasts: A Genetic Programming Approach. Int. J. Nat. Comput. Res. 3(3): 41-58 (2012) - [c58]Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
Describing Quantum-Inspired Linear Genetic Programming from symbolic regression problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c57]Omar Paranaiba Vilela Neto, André Silva Pimentel, Marco Aurélio Cavalcanti Pacheco, Ênio Frota da Silveira:
Evolutionary algorithms applied to elucidate ionic water cluster structure formation. GECCO 2012: 1151-1158 - 2011
- [c56]Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco:
A parallel evolutionary algorithm to search for global minima geometries of heterogeneous ab initio atomic clusters. IEEE Congress on Evolutionary Computation 2011: 537-543 - [c55]Leandro F. Cupertino, Cleomar Pereira da Silva, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes:
Evolving CUDA PTX programs by quantum inspired linear genetic programming. GECCO (Companion) 2011: 399-406 - [c54]Gabriela de Oliveira Penna Tavares, Marco Aurélio Cavalcanti Pacheco:
A Genetic Algorithm Applied to a Main Sequence Stellar Model. HAIS (1) 2011: 32-42 - [c53]Leandro F. Cupertino, Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Jose Roberto d'Almeida:
Modeling the young modulus of nanocomposites: A neural network approach. IJCNN 2011: 1599-1605 - 2010
- [c52]André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Quantum-Inspired Evolutionary Algorithms applied to numerical optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c51]Cleomar Pereira da Silva, Leandro F. Cupertino, Daniel Salles Chevitarese, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes:
Exploring Data Streaming to Improve 3D FFT Implementation on Multiple GPUs. SBAC-PAD (Workshops) 2010: 13-18 - [c50]Leandro F. Cupertino, Anderson P. Singulani, Cleomar Pereira da Silva, Marco Aurélio Cavalcanti Pacheco, Ricardo C. Farias:
LU Decomposition on GPUs: The Impact of Memory Access. SBAC-PAD (Workshops) 2010: 19-24
2000 – 2009
- 2009
- [c49]Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
Toward a Quantum-Inspired Linear Genetic Programming model. IEEE Congress on Evolutionary Computation 2009: 1691-1698 - [c48]Dilza Szwarcman, Jesus Domech More, Ricardo Tanscheit, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco, Nicholas Ribeiro:
A Fuzzy System for the Assessment of Human Reliability. IFSA/EUSFLAT Conf. 2009: 1102-1107 - [c47]Cyro Muniz, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco, Gustavo Chavez, Marco Aurélio Cavalcanti Pacheco:
Irregularity detection on low tension electric installations by neural network ensembles. IJCNN 2009: 2176-2182 - [r2]Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco, Karla Figueiredo, Flávio Joaquim de Souza:
Hierarchical Neuro-Fuzzy Systems Part I. Encyclopedia of Artificial Intelligence 2009: 808-816 - [r1]Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco, Karla Figueiredo, Flávio Joaquim de Souza:
Hierarchical Neuro-Fuzzy Systems Part II. Encyclopedia of Artificial Intelligence 2009: 817-824 - 2008
- [c46]André Vargas Abs da Cruz, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Evolutionary System with Precedence Constraints for Ore Harbor Schedule Optimization. EvoWorkshops 2008: 689-698 - [p2]André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Quantum-Inspired Evolutionary Algorithm for Numerical Optimization. Quantum Inspired Intelligent Systems 2008: 115-132 - 2007
- [j8]Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco, Carlos R. Hall Barbosa:
Neural Network Simulation and Evolutionary Synthesis of QCA Circuits. IEEE Trans. Computers 56(2): 191-201 (2007) - [c45]Leonard M. Sim, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
Refinery Scheduling Optimization using Genetic Algorithms and Cooperative Coevolution. CISched 2007: 151-158 - [c44]Karla Figueiredo, Carlos R. Hall Barbosa, André Vargas Abs da Cruz, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Roxana Jiménez Conteras:
Neural Networks for Inflow Forecasting Using Precipitation Information. IEA/AIE 2007: 552-561 - [c43]Jesus Domech More, Ricardo Tanscheit, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco, D. M. Swarcman:
A Fuzzy Approach to the Study of Human Reliability in the Petroleum Industry. IFSA (2) 2007: 415-424 - [c42]Luciana Faletti Almeida, Yván J. Túpac Valdivia, Juan G. Lazo Lazo, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco:
Evolutionary Computation for Valves Control Optimization in Intelligent Wells Under Uncertainties. IFSA (2) 2007: 425-434 - [c41]Juan G. Lazo Lazo, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco:
Real Options and Genetic Algorithms to Approach of the Optimal Decision Rule for Oil Field Development Under Uncertainties. IFSA (2) 2007: 445-454 - 2006
- [j7]Luciana Brugiolo Gonçalves, Marley M. B. R. Vellasco, Marco Aurélio Pacheco, Flávio Joaquim de Souza:
Inverted hierarchical neuro-fuzzy BSP system: a novel neuro-fuzzy model for pattern classification and rule extraction in databases. IEEE Trans. Syst. Man Cybern. Syst. 36(2): 236-248 (2006) - [c40]Omar Paranaiba Vilela Neto, Leone Pereira Masiero, Marco Aurélio Cavalcanti Pacheco, Carlos R. Hall Barbosa:
Evolvable Hardware Applied to Nanotechnology. AHS 2006: 88-96 - [c39]André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Quantum-Inspired Evolutionary Algorithm for Numerical Optimization. IEEE Congress on Evolutionary Computation 2006: 2630-2637 - [c38]Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, José Franco Machado do Amaral:
Genetic Programming of a Microcontrolled Water Bath Plant. KES (3) 2006: 307-314 - [p1]Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, José F. M. do Amaral:
Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming. Genetic Systems Programming 2006: 193-227 - 2005
- [c37]Jorge Luís Machado do Amaral, José Franco Machado do Amaral, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco, Antonio Carneiro de Mesquita Filho:
Tuning Evolvable PID Controllers through a Clonal Selection Algorithm. Evolvable Hardware 2005: 30-33 - [c36]Leone Pereira Masiero, Marco Aurélio Cavalcanti Pacheco, Carlos R. Hall Barbosa, Cristina Costa Santini:
Molecular Circuit Design. Evolvable Hardware 2005: 307-312 - [c35]Juan G. Lazo Lazo, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Determination of Real Options Value by Monte Carlo Simulation and Fuzzy Numbers. HIS 2005: 488-496 - [c34]Karla Figueiredo, Luciana C. D. Campos, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Reinforcement Learning-Hierarchical Neuro-Fuzzy Politree Model for Autonomous Agents - Evaluation in a Multi-Obstacle Environment. HIS 2005: 551-554 - [c33]Karla Figueiredo, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Hierarchical Neuro-fuzzy Models Based on Reinforcement Learning for Intelligent Agents. IWANN 2005: 424-432 - [c32]André Vargas Abs da Cruz, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Carlos R. Hall Barbosa:
Cultural Operators for a Quantum-Inspired Evolutionary Algorithm Applied to Numerical Optimization Problems. IWINAC (2) 2005: 1-10 - 2004
- [c31]José Franco Machado do Amaral, Jorge Luís Machado do Amaral, Cristina Costa Santini, Ricardo Tanscheit, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Towards Evolvable Analog Artificial Neural Networks Controllers. Evolvable Hardware 2004: 46- - [c30]Jorge Luís Machado do Amaral, José Franco Machado do Amaral, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco:
An Immune Inspired Fault Diagnosis System for Analog Circuits using Wavelet Signatures. Evolvable Hardware 2004: 138-141 - [c29]Jorge Ferreira, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Carlos R. Hall Barbosa:
Data Mining Techniques on the Evaluation of Wireless Churn. ESANN 2004: 483-488 - [c28]Cristina Costa Santini, José F. M. do Amaral, Marco Aurélio Cavalcanti Pacheco, Ricardo Tanscheit:
Evolvability and reconfigurability. FPT 2004: 105-112 - [c27]Karla Figueiredo, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Flávio Joaquim de Souza:
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents. HIS 2004: 130-135 - [c26]José Franco Machado do Amaral, Jorge Luís Machado do Amaral, Cristina Costa Santini, Marco Aurélio Cavalcanti Pacheco, Ricardo Tanscheit, Moisés H. Szwarcman:
Intrinsic Evolution of Analog Circuits on a Programmable Analog Multiplexer Array. International Conference on Computational Science 2004: 1273-1280 - [c25]André Vargas Abs da Cruz, Carlos R. Hall Barbosa, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems. ICONIP 2004: 212-217 - [c24]Diego F. Nehab, Marco Aurélio Cavalcanti Pacheco:
Schemata Theory for the real coding and arithmetical operators. SAC 2004: 1006-1012 - 2003
- [c23]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 Building Blocks for Analog Fuzzy Logic Controllers. Evolvable Hardware 2003: 101-110 - [c22]Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Karla Figueiredo:
Hierarchical Neuro-Fuzzy Systems. IWANN (1) 2003: 126-135 - 2002
- [j6]Flávio Joaquim de Souza, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Hierarchical neuro-fuzzy quadtree models. Fuzzy Sets Syst. 130(2): 189-205 (2002) - [j5]Flávio Joaquim de Souza, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Load forecasting with the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model. Int. J. Comput. Syst. Signals 3(2): 118-132 (2002) - [c21]José Franco Machado do Amaral, Jorge Luís Machado do Amaral, Cristina Costa Santini, Ricardo Tanscheit, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Towards Evolvable Analog Fuzzy Logic Controllers. Evolvable Hardware 2002: 123-128 - [c20]Cristina Costa Santini, José F. M. do Amaral, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Moisés H. Szwarcman:
Evolutionary analog circuit design on a programmable analog multiplexer array. FPT 2002: 189-196 - [c19]Carlos R. Hall Barbosa, B. Melo, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, L. P. Vasconcellos:
Bayesian Neural Networks on the Inference of Distillation Product Qualit. SBRN 2002: 113 - 2001
- [j4]Yván J. Túpac Valdivia, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
An Adaptive Network Routing Strategy with Temporal Differences. Inteligencia Artif. 5(12): 85-91 (2001) - [j3]Elaine T. Fonseca, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco, Pedro C. G. da S. Vellasco, Sebastião A. L. de Andrade:
A Neural Network System for Patch Load Prediction. J. Intell. Robotic Syst. 31(1-3): 185-200 (2001) - [c18]Mayron Rodrigues de Almeida, Silvio Hamacher, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
The energy minimization method: a multiobjective fitness evaluation technique and its application to the production scheduling in a petroleum refinery. CEC 2001: 560-567 - [c17]Cristina Costa Santini, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Moisés H. Szwarcman, Ricardo Salem Zebulum:
Pama - Programmable Analog Multiplexer Array. Evolvable Hardware 2001: 36-43 - [c16]Helio Takahiro Sinohara, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Repair Of Analog Circuits: Extrinsic And Intrinsic Evolutionary Techniques . Evolvable Hardware 2001: 44-47 - [c15]Flávio Joaquim de Souza, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting. IWANN (1) 2001: 174-183 - 2000
- [j2]Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Variable Length Representation in Evolutionary Electronics. Evol. Comput. 8(1): 93-120 (2000) - [c14]Ricardo Salem Zebulum, Cristina Costa Santini, Helio Takahiro Sinohara, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Moisés H. Szwarcman:
A Reconfigurable Platform for the Automatic Synthesis of Analog Circuits. Evolvable Hardware 2000: 91-98 - [c13]Milton Jonathan, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Ricardo Salem Zebulum:
Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers. Evolvable Hardware 2000: 133-142 - [c12]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:
Web Text Mining Using a Hybrid System. SBRN 2000: 131-136 - [c11]Flávio Joaquim de Souza, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Hierarchical Neuro-Fuzzy BSP Model - HNFB. SBRN 2000: 286
1990 – 1999
- 1999
- [c10]Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Artificial Evolution of Active Filters: A Case Study. Evolvable Hardware 1999: 66-75 - [c9]Carlos E. Thomaz, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Mobile Robot Path Planning Using Genetic Algorithms. IWANN (1) 1999: 671-679 - [c8]Carlos Lopes, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Emmanuel L. P. Passos:
Rule-Evolver: An Evolutionary Approach for Data Mining. RSFDGrC 1999: 458-462 - 1998
- [c7]Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Analog Circuits Evolution in Extrinsic and Intrinsic Modes. ICES 1998: 154-165 - [c6]Ricardo Salem Zebulum, Marco Aurélio Pacheco, Marley M. B. R. Vellasco:
Synthesis of CMOS Operational Amplifiers through Genetic Algorithms. SBCCI 1998: 125-128 - [c5]Fabio A. Salazar, Júlio C. G. Pimentel, Marco Aurélio Pacheco, Marley M. B. R. Vellasco:
Micro Power CMOS Analog Cells. SBCCI 1998: 187-190 - [c4]Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Evolutionary Systems Applied to the Synthesis of a CPU Controller. SEAL 1998: 373-380 - 1996
- [c3]Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Evolvable Systems in Hardware Design: Taxonomy, Survey and Applications. ICES 1996: 344-358 - 1995
- [c2]Ricardo Salem Zebulum, Karla Guedes, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Short Term Load Forecasting Using Neural Nets. IWANN 1995: 1001-1008 - 1993
- [c1]Marco Aurélio Cavalcanti Pacheco, Philip C. Treleaven:
A Risc Architecture to Support Neural Net Simulation. IWANN 1993: 482-487 - 1991
- [b1]Marco Aurélio Pacheco:
A "Neural-RISC" processor and parallel architecture for neural networks. University College London, UK, 1991
1980 – 1989
- 1989
- [j1]Philip C. Treleaven, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
VLSI architectures for neural networks. IEEE Micro 9(6): 8-27 (1989)
Coauthor Index
José F. M. do Amaral
aka: José Franco Machado do Amaral
aka: José Franco Machado do Amaral
Smith W. A. Canchumuni
aka: Smith W. Arauco Canchumuni
aka: Smith W. Arauco Canchumuni
Leonardo A. F. Mendoza
aka: Leonardo A. Forero Mendoza
aka: Leonardo Alfredo Mendoza
aka: Leonardo Forero Mendoza
aka: Leonardo Forero 0001
aka: Leonardo A. Forero Mendoza
aka: Leonardo Alfredo Mendoza
aka: Leonardo Forero Mendoza
aka: Leonardo Forero 0001
Marley M. B. R. Vellasco
aka: Marley Maria Bernardes Rebuzzi Vellasco
aka: Marley Maria Bernardes Rebuzzi Vellasco
[j16] [c73] [c68] [c62] [c61] [c60] [j9] [c53] [c52] [c48] [c47] [r2] [r1] [c46] [p2] [c44] [c43] [c42] [c41] [j7] [c39] [c35] [c34] [c33] [c32] [c31] [c29] [c27] [c25] [c23] [c22] [j6] [j5] [c21] [c20] [c19] [j4] [j3] [c18] [c17] [c16] [c15] [j2] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [j1]
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