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ORCIDMarley M. B. R. Vellasco
Marley Maria Bernardes Rebuzzi Vellasco
Person information
- affiliation: Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Department of Electrical Engineering
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Books and Theses
- 1992
[b1]Marley Maria Bernardes Rebuzzi Vellasco:
A VLSI architecture for neural network chips. University College London, UK, 1992
Journal Articles
- 2024
- [j72]Marley M. B. R. Vellasco
, Steven M. Corns:
Acknowledging Volunteers Associated With 2023 IEEE CIS Conference Management [Society Briefs]. IEEE Comput. Intell. Mag. 19(1): 13 (2024) - 2023
- [j71]Marley M. B. R. Vellasco, Gary B. Fogel:
Acknowledging Volunteers Associated With 2022 IEEE CIS Conference Management [Conference Reports] [Society Briefs]. IEEE Comput. Intell. Mag. 18(1): 16 (2023) - [j70]Marley M. B. R. Vellasco, Leandro L. Minku:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18(2): 104 (2023) - [j69]Marley M. B. R. Vellasco, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18(3): 88 (2023) - [j68]Marley M. B. R. Vellasco, Liyan Song:
Conference Calendar [Conference Calendar]. IEEE Comput. Intell. Mag. 18(4): 80 (2023) - [j67]Thiago M. Carvalho, Marley M. B. R. Vellasco, José Franco Machado do Amaral:
Automatic generation of fuzzy inference systems for multivariate time series forecasting. Fuzzy Sets Syst. 470: 108657 (2023) - [j66]César H. Valencia, Marley M. B. R. Vellasco, Karla Figueiredo:
Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting. Neurocomputing 545: 126317 (2023) - [j65]Pedro H. G. Coelho, José F. M. do Amaral, Thiago M. Carvalho, Marley M. B. R. Vellasco:
A Fuzzy-Based Multi-objective Optimization Applied to Analog Circuits for Fuzzy Systems. SN Comput. Sci. 4(6): 776 (2023) - 2022
- [j64]Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco:
Quantum-inspired evolutionary algorithm applied to neural architecture search. Appl. Soft Comput. 120: 108674 (2022) - [j63]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 17(1): 116 (2022) - [j62]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 17(2): 104 (2022) - [j61]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 17(3): 66 (2022) - [j60]Marley M. B. R. Vellasco, Leandro L. Minku:
Conference Calendar. IEEE Comput. Intell. Mag. 17(4): 70 (2022) - [j59]Kennedy Edson Silva de Souza, Igor Leonardo Aviz, Harold Dias de Mello, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco, Fernando Augusto Ribeiro Costa, Marcos César da Rocha Seruffo:
An Evaluation Framework for User Experience Using Eye Tracking, Mouse Tracking, Keyboard Input, and Artificial Intelligence: A Case Study. Int. J. Hum. Comput. Interact. 38(7): 646-660 (2022) - [j58]Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva:
Evolved explainable classifications for lymph node metastases. Neural Networks 148: 1-12 (2022) - 2021
- [j57]Marley M. B. R. Vellasco:
[Conference Calendar]. IEEE Comput. Intell. Mag. 16(1): 108 (2021) - [j56]Marley M. B. R. Vellasco:
[Conference Calendar]. IEEE Comput. Intell. Mag. 16(2): 100 (2021) - [j55]Marley M. B. R. Vellasco:
[Conference Calendar]. IEEE Comput. Intell. Mag. 16(3): 96 (2021) - [j54]Marley M. B. R. Vellasco, Leandro L. Minku:
[Conference Calendar]. IEEE Comput. Intell. Mag. 16(4): 100 (2021) - [j53]Jaouad Boumhidi, El Habib Nfaoui, Hani Hagras, Marley M. B. R. Vellasco:
Special issue on Recent Advances in Computational Intelligence and Cognitive Systems (RACICS). Cogn. Syst. Res. 70: 63 (2021) - [j52]Eduardo Dessupoio Moreira Dias, Marley Maria Bernardes Rebuzzi Vellasco, André Vargas Abs da Cruz:
Quantum-inspired neuro coevolution model applied to coordination problems. Expert Syst. Appl. 167: 114133 (2021) - [j51]Eduardo P. de Aguiar, Thiago E. Fernandes, Fernando M. de A. Nogueira, Daniel Discini Silveira, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro:
A New Model to Distinguish Railhead Defects Based on Set-Membership Type-2 Fuzzy Logic System. Int. J. Fuzzy Syst. 23(4): 1057-1069 (2021) - [j50]Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva:
Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers. Sensors 21(16): 5657 (2021) - [j49]Alimed Celecia Ramos, Karla Figueiredo, Carlos R. Hall Barbosa, Marley M. B. R. Vellasco, Edwin German Maldonado Tavara, Marco Silva, Anderson Rodrigues, Renata Nascimento, Carla Ourofino:
Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool. Sensors 21(19): 6347 (2021) - 2020
- [j48]Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco:
Neuroevolutionary learning in nonstationary environments. Appl. Intell. 50(5): 1590-1608 (2020) - [j47]Marley M. B. R. Vellasco:
IEEE CIS VP-Conferences Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 15(1): 10-11 (2020) - [j46]Marley M. B. R. Vellasco:
[Conference Calendar]. IEEE Comput. Intell. Mag. 15(2): 90-92 (2020) - [j45]Longbing Cao, Marley M. B. R. Vellasco:
IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs]. IEEE Comput. Intell. Mag. 15(3): 9-11 (2020) - [j44]Marley M. B. R. Vellasco:
[Conference Calendar]. IEEE Comput. Intell. Mag. 15(3): 74-75 (2020) - [j43]Marley M. B. R. Vellasco:
[Conference Calendar]. IEEE Comput. Intell. Mag. 15(4): 75 (2020) - [j42]Daniel Leite, Karla Figueiredo, Marley M. B. R. Vellasco:
Prototype of Robotic Device for Mobility Assistance for the Elderly in Urban Environments. Sensors 20(11): 3056 (2020) - [j41]Alimed Celecia Ramos, Karla Figueiredo, Marley M. B. R. Vellasco, René González Hernandez:
A Portable Fuzzy Driver Drowsiness Estimation System. Sensors 20(15): 4093 (2020) - [j40]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) - [j39]Manoela Kohler, Marley M. B. R. Vellasco, Eugênio Silva, Karla Figueiredo:
SimProxy Decision Support System: A Neural Network Proxy Applied to Reservoir and Surface Integrated Optimization. IEEE Syst. J. 14(4): 5111-5120 (2020) - 2019
- [j38]Kennedy Edson Silva de Souza, Marcos César da Rocha Seruffo, Harold D. de Mello Jr., Daniel da S. Souza, Marley M. B. R. Vellasco:
User Experience Evaluation Using Mouse Tracking and Artificial Intelligence. IEEE Access 7: 96506-96515 (2019) - [j37]Manoela Kohler, Marley M. B. R. Vellasco, Ricardo Tanscheit:
PSO+: A new particle swarm optimization algorithm for constrained problems. Appl. Soft Comput. 85 (2019) - [j36]Paul R. McWhirter, Abir Hussain, Dhiya Al-Jumeily, Iain A. Steele, Marley M. B. R. Vellasco:
Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data. Expert Syst. Appl. 131: 94-115 (2019) - [j35]Waldir Nunes, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Quantum-inspired evolutionary multi-objective fuzzy classifier with real and categorical representation. J. Intell. Fuzzy Syst. 36(6): 5875-5887 (2019) - [j34]Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva:
Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases. Sensors 19(13): 2969 (2019) - [j33]Adriano S. Koshiyama, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective. WIREs Data Mining Knowl. Discov. 9(2) (2019) - 2018
- [j32]Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco:
DetectA: abrupt concept drift detection in non-stationary environments. Appl. Soft Comput. 62: 119-133 (2018) - [j31]Pablo A. Estévez, Marley M. B. R. Vellasco:
Conference Report on 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) [Conference Reports]. IEEE Comput. Intell. Mag. 13(4): 7-9 (2018) - [j30]Antonio Carlos Sampaio Filho, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A unified solution in fuzzy capital budgeting. Expert Syst. Appl. 98: 27-42 (2018) - 2017
- [j29]Luciano R. Silveira, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Quantum inspired evolutionary algorithm for ordering problems. Expert Syst. Appl. 67: 71-83 (2017) - [j28]Luiz Alberto Lima, Nico Görnitz, Luiz Eduardo Varella, Marley M. B. R. Vellasco, Klaus-Robert Müller, Shinichi Nakajima:
Porosity estimation by semi-supervised learning with sparsely available labeled samples. Comput. Geosci. 106: 33-48 (2017) - [j27]Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro:
Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch Machine. IEEE Trans. Intell. Transp. Syst. 18(10): 2703-2712 (2017) - 2016
- [j26]Harold Dias de Mello Junior, Luis Martí, André Vargas Abs da Cruz, Marley M. B. R. Vellasco:
Evolutionary algorithms and elliptical copulas applied to continuous optimization problems. Inf. Sci. 369: 419-440 (2016) - [j25]Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Renan P. F. Amaral, Diego F. Fabri, Sérgio C. de A. Rossignoli, José Geraldo Ferreira, Marley M. B. R. Vellasco, Ricardo Tanscheit, Pedro C. G. da S. Vellasco, Moisés Vidal Ribeiro:
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine. Neural Comput. Appl. 27(5): 1175-1189 (2016) - [j24]A. C. O. Pitta Botelho, Marley M. B. R. Vellasco, Carlos R. Hall Barbosa, Eduardo Costa da Silva:
Neuro-genetic system for optimization of GMI samples sensitivity. Neural Networks 75: 141-149 (2016) - 2015
- [j23]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems. Appl. Soft Comput. 37: 561-571 (2015) - [j22]Rafael de O. Valle dos Santos, Marley M. B. R. Vellasco:
Neural Expert Weighting: A NEW framework for dynamic forecast combination. Expert Syst. Appl. 42(22): 8625-8636 (2015) - 2014
- [j21]Marcelo França Corrêa, Marley M. B. R. Vellasco, Karla Figueiredo:
Multi-agent systems with reinforcement hierarchical neuro-fuzzy models. Auton. Agents Multi Agent Syst. 28(6): 867-895 (2014) - [j20]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) - [j19]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
GPFIS-Control: A Genetic Fuzzy System For Control Tasks. J. Artif. Intell. Soft Comput. Res. 4(3): 167-179 (2014) - [j18]Javier E. Reyes Sanchez, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Fault detection and measurements correction for multiple sensors using a modified autoassociative neural network. Neural Comput. Appl. 24(7-8): 1929-1941 (2014) - 2013
- [j17]Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama:
Learning under Concept Drift using a Neuro-Evolutionary Ensemble. Int. J. Comput. Intell. Appl. 12(4) (2013) - [j16]Adriana da Costa F. Chaves, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Fuzzy rules extraction from support vector machines for multi-class classification. Neural Comput. Appl. 22(7-8): 1571-1580 (2013) - 2012
- [j15]Nelson R. de Albuquerque, Marley M. B. R. Vellasco, Johnathan Mun, Thomas J. Housel:
Human Capital valuation and return of investment on corporate education. Expert Syst. Appl. 39(15): 11934-11943 (2012) - [j14]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) - [j13]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley M. B. R. Vellasco:
Automatic parameters selection in machine learning. Neurocomputing 75(1): 1-2 (2012) - 2011
- [j12]Roxana Jiménez Contreras, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Hierarchical type-2 neuro-fuzzy BSP model. Inf. Sci. 181(15): 3210-3224 (2011) - 2010
- [j11]Marley M. B. R. Vellasco, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
Special issue for the SBRN Guest Editorial. Neurocomputing 73(16-18): 2797-2798 (2010) - 2008
- [j10]Elaine T. Fonseca, Pedro C. G. da S. Vellasco, Marley M. B. R. Vellasco, Sebastião A. L. de Andrade:
A neuro-fuzzy evaluation of steel beams patch load behaviour. Adv. Eng. Softw. 39(7): 558-572 (2008) - 2006
- [j9]Marley M. B. R. Vellasco, Fernando A. C. Gomide:
Special issue: Hybrid intelligent systems in ensembles. Int. J. Hybrid Intell. Syst. 3(3): 127-128 (2006) - [j8]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) - 2002
- [j7]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) - [j6]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) - 2001
- [j5]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) - [j4]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) - 2000
- [j3]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) - 1992
- [j2]Cesare Alippi, Marley M. B. R. Vellasco:
Galatea neural VLSI architectures: Communication and control considerations. Microprocess. Microprogramming 35(1-5): 175-180 (1992) - 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)
Conference and Workshop Papers
- 2023
- [c138]Thiago M. Carvalho, Marley M. B. R. Vellasco, José F. M. do Amaral, Karla Figueiredo:
A Feature-Based Out-of-Distribution Detection Approach in Skin Lesion Classification. BRACIS (2) 2023: 338-352 - [c137]Thiago M. Carvalho, Marley M. B. R. Vellasco, José Franco Machado do Amaral:
Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning. EANN 2023: 303-314 - [c136]Cristiane Salgado Pereira, Douglas Mota Dias, Luis Martí, Marley M. B. R. Vellasco:
A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming. GECCO Companion 2023: 1972-1980 - [c135]Guilherme Carlos, Karla Figueiredo, Abir Hussain, Marley M. B. R. Vellasco:
SegQNAS: Quantum-inspired Neural Architecture Search applied to Medical Image Semantic Segmentation. IJCNN 2023: 1-8 - [c134]Thiago M. Carvalho, Marley M. B. R. Vellasco, José F. M. do Amaral:
Out-of-Distribution Detection in Deep Learning Models: A Feature Space-Based Approach. IJCNN 2023: 1-7 - [c133]Abdollah Masoud Darya, Ilias Fernini, Marley M. B. R. Vellasco, Abir Hussain:
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods. IJCNN 2023: 1-8 - 2022
- [c132]Julia Noce, Gianella Chantong, Gustavo Jauregui, Roberto Mogami, Alexandra Monteiro, Karla Figueiredo, Marley M. B. R. Vellasco:
Applied Enhanced Q-NAS for COVID-19 Detection in CT Images. AII 2022: 419-433 - [c131]Wasiq Khan, Bilal Muhammed Khan, Luke K. Topham, Salwa Yasen, Ahmed Al-Dahiri, Hoshang Kolivand, Marley M. B. R. Vellasco, Abir Hussain:
Acceptance and Perception of Covid-19 Vaccination for Children. IJCNN 2022: 1-6 - [c130]Diego Páez Ardila, Diana Martínez Reyes, Cesar Hernando Valencia Niño, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Comparative Study of PID, DMC, and Fuzzy PD+I Controllers in a Control Laboratory Kit. LA-CCI 2022: 1-6 - 2021
- [c129]Sarah Hannah Alves, Cristovão Antunes de Lanna, Karla Tereza Figueiredo Leite, Mariana Boroni, Marley Maria Bernardes Rebuzzi Vellasco:
Multi-omic data integration applied to molecular tumor classification. BIBM 2021: 2171-2178 - [c128]Eduardo Dessupoio Moreira Dias, Marley Maria Bernardes Rebuzzi Vellasco:
A Propose of Genetic Operators for Quantum Algorithms with Real Representation. LA-CCI 2021: 1-6 - [c127]Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller, Vincent Andrearczyk:
Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. MICCAI (3) 2021: 540-549 - 2020
- [c126]Rodrigo Corbelli, Marley M. B. R. Vellasco, Álvaro Veiga:
Investigating Optimal Regimes for Prediction in the Stock Market. CEC 2020: 1-8 - [c125]Guilherme Angelo Leite, Marley Maria Bernardes Rebuzzi Vellasco:
Development of offshore maintenance service scheduling system with workers allocation. CEC 2020: 1-6 - [c124]Alimed Celecia Ramos, Marley M. B. R. Vellasco:
Chaotic Quantum-inspired Evolutionary Algorithm: enhancing feature selection in BCI. CEC 2020: 1-8 - [c123]Talitha F. Speranza, Ricardo Tanscheit, Marley M. B. R. Vellasco:
A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks. EANN 2020: 605-616 - [c122]Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva:
Approximate Explanations for Classification of Histopathology Patches. PKDD/ECML Workshops 2020: 517-526 - 2019
- [c121]Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco:
Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency. BRACIS 2019: 509-514 - [c120]Gabriel Lins Tenório, Felipe F. Martins, Thiago M. Carvalho, Antonio C. Leite, Karla Figueiredo, Marley M. B. R. Vellasco, Wouter Caarls:
Comparative Study of Computer Vision Models for Insect Pest Identification in Complex Backgrounds. DeSE 2019: 551-556 - [c119]William de Souza Barbosa, Adalberto I. S. Oliveira, Gustavo B. P. Barbosa, Antonio C. Leite, Karla T. Figueiredo, Marley M. B. R. Vellasco, Wouter Caarls:
Design and Development of an Autonomous Mobile Robot for Inspection of Soy and Cotton Crops. DeSE 2019: 557-562 - [c118]Adalberto I. S. Oliveira, Thiago M. Carvalho, Felipe F. Martins, Antonio C. Leite, Karla T. Figueiredo, Marley M. B. R. Vellasco, Wouter Caarls:
On the Intelligent Control Design of an Agricultural Mobile Robot for Cotton Crop Monitoring. DeSE 2019: 563-568 - [c117]Marco Antonio Cunha Ferreira, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Automatic Generation of a Type-2 Fuzzy System for Time Series Forecast based on Genetic Programming. EUSFLAT Conf. 2019 - [c116]Errison Alves, Ricardo Tanscheit, Marley M. B. R. Vellasco:
SENFIS - Selected Ensemble of Fuzzy Inference Systems. FUZZ-IEEE 2019: 1-6 - [c115]René González Hernandez, Marley M. B. R. Vellasco, Karla Figueiredo:
Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms. GECCO 2019: 777-786 - [c114]Christian Arcos, Marley M. B. R. Vellasco, Abraham Alcaim:
Ideal neighbourhood mask for speech enhancement using deep neural networks. IJCNN 2019: 1-5 - [c113]Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco:
Quantum-Inspired Neural Architecture Search. IJCNN 2019: 1-8 - [c112]Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva:
Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning. INNSBDDL 2019: 109-119 - 2018
- [c111]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 - [c110]Paulo R. M. Paiva, Marley M. B. R. Vellasco, José F. M. do Amaral:
Quantum-Inspired Optimization of Echo State Networks Applied to System Identification. CEC 2018: 1-8 - [c109]Alimed Celecia Ramos, Marley M. B. R. Vellasco:
Quantum-inspired Evolutionary Algorithm for Feature Selection in Motor Imagery EEG Classification. CEC 2018: 1-8 - [c108]Mateus Gheorghe de Castro Ribeiro, Pedro Henrique Souza Calderano, Renan Piazzaroli Finotti Amaral, Ivan Fabio Mota de Menezes, Ricardo Tanscheit, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Pestana de Aguiar:
Detection and Classification of Faults in Aeronautical Gas Turbine Engine: a Comparison Between two Fuzzy Logic Systems. FUZZ-IEEE 2018: 1-7 - [c107]Cristiane Salgado Pereira, Douglas Mota Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Martí:
Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches. GECCO (Companion) 2018: 1821-1828 - [c106]Antonio Carlos de Souza Sampaio Filho, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Modified Methods of Capital Budgeting Under Uncertainties: An Approach Based on Fuzzy Numbers and Interval Arithmetic. IPMU (1) 2018: 777-789 - 2017
- [c105]Eduardo P. de Aguiar, Renan P. F. Amaral, Marley M. B. R. Vellasco, Moisés Vidal Ribeiro:
Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine. FUZZ-IEEE 2017: 1-6 - [c104]Edwin German Maldonado Tavara, Marley M. B. R. Vellasco, Bruno A. C. Horta, Fábio L. Custódio:
Feature importance calculation and protein quality assessment on the decoy discrimination problem. IJCNN 2017: 248-255 - [c103]Dinart Duarte Braga, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Neural network nonlinear plant identification as a tool in intelligent controller design. IJCNN 2017: 1472-1479 - [c102]Alimed Celecia Ramos, René González Hernandez, Marley M. B. R. Vellasco, Pedro C. G. da S. Vellasco:
Ensemble of classifiers applied to motor imagery task classification for BCI applications. IJCNN 2017: 2995-3002 - [c101]Paul R. McWhirter, Iain A. Steele, Dhiya Al-Jumeily, Abir Hussain, Marley M. B. R. Vellasco:
The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features. IJCNN 2017: 3058-3065 - 2016
- [c100]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 - [c99]Luis Martí, Harold D. de Mello Jr., Nayat Sánchez Pi, Marley M. B. R. Vellasco:
SMS-EDA-MEC: Extending Copula-based EDAs to multi-objective optimization. CEC 2016: 3726-3733 - [c98]Julio Ribeiro Coutinho, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama:
AutoMFIS: Fuzzy Inference System for multivariate time series forecasting. FUZZ-IEEE 2016: 2120-2127 - [c97]Oscar Samudio, Marley M. B. R. Vellasco, Ricardo Tanscheit, Adriano S. Koshiyama:
RandomFIS: A Fuzzy Classification System for Big Datasets. INNS Conference on Big Data 2016: 262-272 - [c96]Jorge Paredes, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama:
Automatic Synthesis of Fuzzy Inference Systems for Classification. IPMU (1) 2016: 486-497 - [c95]Daniel Rivas Alonso, Marley Maria Bernardes Rebuzzi Vellasco:
Spatial Filter comparison for a Brain Computer Interface. LA-CCI 2016: 1-6 - [c94]Daniel Leite, Marley M. B. R. Vellasco, Karla Figueiredo:
Robotic device for mobility assistance to elderly people in urban environments. LA-CCI 2016: 1-6 - [c93]Alimed Celecia Ramos, René González Hernandez, Marley M. B. R. Vellasco:
Feature Selection methods applied to Motor Imagery task classification. LA-CCI 2016: 1-6 - [c92]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 - 2015
- [c91]Glauco Martins, Marley M. B. R. Vellasco, Roberto Schirru, Pedro C. G. da S. Vellasco:
Closed Loop Identification of Nuclear Steam Generator Water Level Using ESN Network Tuned by Genetic Algorithm. EANN 2015: 13-23 - [c90]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. IFSA-EUSFLAT 2015 - [c89]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems. FUZZ-IEEE 2015: 1-7 - [c88]Daniel Salles Chevitarese, Dilza Szwarcman, Marley M. B. R. Vellasco:
Introduction to CircuitML: Modeling Local Processing Units in the drosophila brain. IJCNN 2015: 1-8 - [c87]Tatiana Escovedo, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Rubens Nascimento Melo, André Vargas Abs da Cruz:
A2D2: A pre-event abrupt drift detection. IJCNN 2015: 1-8 - [c86]Marcelo C. Cardoso, Marco Silva, Marley M. B. R. Vellasco, Edson Cataldo:
Quantum-Inspired Features and Parameter Optimization of Spiking Neural Networks for a Case Study from Atmospheric. INNS Conference on Big Data 2015: 74-81 - 2014
- [c85]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 - [c84]Eduardo P. de Aguiar, Fernando M. de A. Nogueira, Renan P. F. Amaral, Diego F. Fabri, Sérgio C. de A. Rossignoli, José Geraldo Ferreira, Marley M. B. R. Vellasco, Ricardo Tanscheit, Moisés Vidal Ribeiro, Pedro C. G. da S. Vellasco:
Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network. EANN 2014: 81-91 - [c83]Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
GPFIS-Control: A fuzzy Genetic model for Control tasks. FUZZ-IEEE 2014: 1953-1959 - [c82]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 - [c81]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 - [c80]Luis Martí, Nayat Sánchez Pi, Marley M. B. R. Vellasco:
Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms. IBERAMIA 2014: 359-370 - [c79]Harold D. de Mello Jr., André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco:
Nonconvex Functions Optimization Using an Estimation of Distribution Algorithm Based on a Multivariate Extension of the Clayton Copula. IDEAL 2014: 318-326 - [c78]Marco Silva, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Edson Cataldo:
Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning. IJCNN 2014: 2391-2398 - [c77]Tatiana Escovedo, André Vargas Abs da Cruz, Adriano S. Koshiyama, Rubens Nascimento Melo, Marley Maria Bernardes Rebuzzi Vellasco:
NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning. IJCNN 2014: 3331-3338 - [c76]César H. Valencia, Marley M. B. R. Vellasco, Ricardo Tanscheit, Karla T. Figueiredo:
Magnetorheological Damper Control in a Leg Prosthesis Mechanical. RiTA 2014: 805-818 - 2013
- [c75]Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit:
GPF-CLASS: A Genetic Fuzzy model for classification. IEEE Congress on Evolutionary Computation 2013: 3275-3282 - [c74]Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano Soares Koshiyama:
NEVE: A Neuro-Evolutionary Ensemble for Adaptive Learning. AIAI 2013: 636-645 - [c73]Waldir Nunes, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
A quantum-inspired evolutionary algorithm for fuzzy classification. IFSA/NAFIPS 2013: 29-34 - [c72]C. F. F. Carraro, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A fuzzy-genetic system for rule extraction from support vector machines. IFSA/NAFIPS 2013: 362-367 - [c71]Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama:
Using ensembles for adaptive learning: A comparative approach. IJCNN 2013: 1-7 - [c70]César H. Valencia, Marley Maria Bernardes Rebuzzi Vellasco, Karla Figueiredo:
Trajectory Tracking Control Using Echo State Networks for the CoroBot's Arm. RiTA 2013: 433-447 - 2012
- [c69]Luciano R. Silveira, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Quantum-inspired genetic algorithms applied to ordering combinatorial optimization problems. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c68]Javier E. Reyes Sanchez, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Measurement Correction for Multiple Sensors Using Modified Autoassociative Neural Networks. EANN 2012: 135-144 - [c67]Miguel A. G. Pinto, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Hybrid recommendation system based on collaborative filtering and fuzzy numbers. FUZZ-IEEE 2012: 1-6 - [c66]Daniel Salles Chevitarese, Dilza Szwarcman, Marley M. B. R. Vellasco:
Speeding Up the Training of Neural Networks with CUDA Technology. ICAISC (1) 2012: 30-38 - [c65]Antonio Carlos Sampaio Filho, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Modified Net Present Value under Uncertainties: An Approach Based on Fuzzy Numbers and Interval Arithmetic. IPMU (4) 2012: 10-19 - [c64]César H. Valencia, Marley Maria Bernardes Rebuzzi Vellasco, Karla Figueiredo:
Comparative Analysis of Arm Control Performance Using Computational Intelligence. RiTA 2012: 187-197 - 2011
- [c63]Luciana C. D. Campos, Marley Maria Bernardes Rebuzzi Vellasco, Juan G. Lazo Lazo:
A stochastic model based on neural networks. IJCNN 2011: 1482-1488 - [c62]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 - [c61]Javier E. Reyes Sanchez, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
An Intelligent Model for Self-compensation and Self-validation of Sensor Measurements. WILF 2011: 269-276 - 2010
- [c60]Fabio Martins, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco:
Methods for acceleration of learning process of Reinforcement Learning Neuro-Fuzzy Hierarchical Politree model. AIS 2010: 1-6 - [c59]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 - [c58]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 - [c57]Simone C. Miyoshi, Dilza Szwarcman, Marley Maria Bernardes Rebuzzi Vellasco:
A new approach for history matching of oil and gas reservoir. IJCNN 2010: 1-8 - [c56]Rafael Valle dos Santos, Marley Maria Bernardes Rebuzzi Vellasco:
Neural expert weighing. IJCNN 2010: 1-8 - 2009
- [c55]Dário Augusto Borges Oliveira, Marley Maria Bernardes Rebuzzi Vellasco, Mariana M. B. Oliveira, Riuitiro Yamane:
Application of Neural Networks in Aid for Diagnosis for Patients with Glaucoma. BIOSIGNALS 2009: 139-145 - [c54]Cyro Muniz, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit, Karla Figueiredo:
A Neuro-fuzzy System for Fraud Detection in Electricity Distribution. IFSA/EUSFLAT Conf. 2009: 1096-1101 - [c53]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 - [c52]Alexandre Ormiga Galvão Barbosa, David Ronald A. Diaz, Marley Maria Bernardes Rebuzzi Vellasco, Marco A. Meggiolaro, Ricardo Tanscheit:
Mental Tasks Classification for a Noninvasive BCI Application. ICANN (2) 2009: 495-504 - [c51]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 - [c50]Anderson G. de Pinho, Marley M. B. R. Vellasco, André Vargas Abs da Cruz:
A New Model for Credit Approval Problems: A Quantum-inspired Neuro-evolutionary Algorithm with Binary-real Representation. NaBIC 2009: 445-450 - 2008
- [c49]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 - [c48]Roxana Jiménez Conteras, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Hierarchical Type-2 Neuro-Fuzzy BSP Model. HIS 2008: 770-775 - [c47]Adriana da Costa F. Chaves, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection. ICONIP (2) 2008: 386-393 - [c46]Marcelo França Corrêa, Marley Maria Bernardes Rebuzzi Vellasco, Karla Figueiredo, Pedro C. G. da S. Vellasco:
Trading Strategy in Foreign Exchange Market Using Reinforcement Learning Hierarchical Neuro-Fuzzy Systems. ICONIP (2) 2008: 461-468 - 2007
- [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]Marcela P. Moreira, Leonardo T. B. Santos, Marley M. B. R. Vellasco:
Power Transformers Diagnosis Using Neural Networks. IJCNN 2007: 1929-1934 - [c40]Ana Carolina Letichevsky, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
A Fuzzy Inference System for Meta-Evaluation. ISDA 2007: 246-251 - 2006
- [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]Marcos Machado, Marley M. B. R. Vellasco, Pedro Mario Silva, Marcelo Gattass:
Using Neural Networks to Evaluate the Effectiveness of a new Seismic Fault Attribute. SBRN 2006: 208-213 - 2005
- [c37]Elaine T. Fonseca, Pedro C. G. da S. Vellasco, Marley M. B. R. Vellasco, Sebastião A. L. de Andrade:
A Neuro-Fuzzy System for Steel Beams Patch Load Prediction. HIS 2005: 110-115 - [c36]Adriana da Costa F. Chaves, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Fuzzy Rule Extraction from Support Vector Machines. HIS 2005: 335-340 - [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 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 - [c29]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 - [c28]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 - 2003
- [c27]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 - [c26]Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Karla Figueiredo:
Hierarchical Neuro-Fuzzy Systems. IWANN (1) 2003: 126-135 - [c25]A. Wolf, Carlos R. Hall Barbosa, Elisabeth Costa Monteiro, Marley M. B. R. Vellasco:
Multiple MLP Neural Networks Applied on the Determination of Segment Limits in ECG Signals. IWANN (2) 2003: 607-614 - [c24]Rafael Valle dos Santos, Marley M. B. R. Vellasco, Fredy Artola, Sérgio da Fontoura:
Neural Net Ensembles for Lithology Recognition. Multiple Classifier Systems 2003: 246-255 - 2002
- [c23]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 - [c22]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 - [c21]Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Marley M. B. R. Vellasco:
A Goal Definition Assistant Applied to KDD Process. IC-AI 2002: 631-637 - [c20]Rafael Valle dos Santos, Fredy Artola, Sérgio da Fontoura, Marley M. B. R. Vellasco:
Lithology Recognition by Neural Network Ensembles. SBIA 2002: 302-312 - [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
- [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 - [c14]Rafael Valle dos Santos, Marley M. B. R. Vellasco, Raul Queiroz Feitosa, Margareth Simões, Ricardo Tanscheit:
An Application of Combined Neural Networks to Remotely Sensed Images. WSCG 2001: 87-92 - 2000
- [c13]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 - [c12]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 - [c11]Flávio Joaquim de Souza, Marley M. B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
Hierarchical Neuro-Fuzzy BSP Model - HNFB. SBRN 2000: 286 - 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]F. Salazar, J. 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]Marley M. B. R. Vellasco, Philip C. Treleaven:
The Generic Neuron Architectural Framework for the Automatic Generation of ASICs. IWANN 1993: 476-481
Parts in Books or Collections
- 2016
- [p4]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A Novel Genetic Fuzzy System for Regression Problems. Fuzzy Technology 2016: 85-101 - 2008
- [p3]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
- [p2]Adriana da Costa F. Chaves, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 99-108 - [p1]Ana Carolina Letichevsky, Marley M. B. R. Vellasco, Ricardo Tanscheit, Reinaldo C. Souza:
A New Approach to Meta-Evaluation Using Fuzzy Logic. Intelligent Educational Machines 2007: 147-165
Editorship
- 2017
- [e2]Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco:
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Advances in Intelligent Systems and Computing 529, 2017, ISBN 978-3-319-47897-5 [contents] - 2008
- [e1]Marley Maria Bernardes Rebuzzi Vellasco, Marcílio Carlos Pereira de Souto, Jés Jesus Fiais Cerqueira:
10th Brazilian Symposium on Neural Networks (SBRN 2008), Salvador, Bahia, Brazil, October 26-30, 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3361-2 [contents]
Reference Works
- 2009
- [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
Informal and Other Publications
- 2023
- [i2]Abdollah Masoud Darya, Ilias Fernini, Marley M. B. R. Vellasco, Abir Hussain:
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods. CoRR abs/2304.12729 (2023) - 2020
- [i1]Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva:
Evolved Explainable Classifications for Lymph Node Metastases. CoRR abs/2005.07229 (2020)
Coauthor Index
José F. M. do Amaral
aka: José Franco Machado do Amaral
aka: José Franco Machado do Amaral
Adriano S. Koshiyama
aka: Adriano Soares Koshiyama
aka: Adriano Soares Koshiyama
Leonardo A. F. Mendoza
aka: Leonardo Alfredo Forero Mendoza
aka: Leonardo Forero Mendoza
aka: Leonardo Forero 0001
aka: Leonardo Alfredo Forero Mendoza
aka: Leonardo Forero Mendoza
aka: Leonardo Forero 0001
Marco Aurélio Pacheco
aka: Marco Aurélio Cavalcanti Pacheco
aka: Marco Aurélio Cavalcanti Pacheco
[j40] [j14] [j8] [j7] [j6] [j5] [j4] [j3] [j1] [c111] [c100] [c85] [c82] [c81] [c62] [c59] [c53] [c51] [c49] [c45] [c44] [c43] [c42] [c39] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c23] [c22] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [p3] [r2] [r1]
[j37] [j35] [j33] [j30] [j29] [j25] [j23] [j19] [j18] [j16] [j12] [c130] [c123] [c117] [c116] [c111] [c108] [c106] [c103] [c100] [c98] [c97] [c96] [c90] [c89] [c84] [c83] [c76] [c75] [c73] [c72] [c69] [c68] [c67] [c65] [c61] [c54] [c53] [c52] [c48] [c47] [c44] [c40] [c36] [c31] [c27] [c23] [c14] [p4] [p2] [p1]
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last updated on 2024-06-07 00:32 CEST by the dblp team
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