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2020 – today
- 2022
[c49]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- [c48]Cristian 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 - 2020
- [c47]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
2010 – 2019
- 2019
- [j12]Manoela Kohler, Marley M. B. R. Vellasco, Ricardo Tanscheit:
PSO+: A new particle swarm optimization algorithm for constrained problems. Appl. Soft Comput. 85 (2019) - [j11]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) - [j10]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) - [c46]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 - [c45]Errison Alves, Ricardo Tanscheit, Marley M. B. R. Vellasco:
SENFIS - Selected Ensemble of Fuzzy Inference Systems. FUZZ-IEEE 2019: 1-6 - 2018
- [j9]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) - [c44]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 - [c43]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 - [c42]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
- [j8]Luciano R. Silveira, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Quantum inspired evolutionary algorithm for ordering problems. Expert Syst. Appl. 67: 71-83 (2017) - [c41]André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias:
Econometric Genetic Programming in Binary Classification: Evolving Logistic Regressions Through Genetic Programming. EPIA 2017: 382-394 - [c40]André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias:
Econometric genetic programming outperforms traditional econometric algorithms for regression tasks. GECCO (Companion) 2017: 1427-1430 - [c39]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 - 2016
- [j7]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) - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]Carlos Magno C. O. Valle, Ricardo Tanscheit, Leonardo A. Forero Mendoza:
Computed-torque control of a simulated bipedal robot with locomotion by reinforcement learning. LA-CCI 2016: 1-6 - [p3]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A Novel Genetic Fuzzy System for Regression Problems. Fuzzy Technology 2016: 85-101 - 2015
- [j6]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) - [c33]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. IFSA-EUSFLAT 2015 - [c32]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 - 2014
- [j5]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) - [j4]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) - [c31]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 - [c30]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 - [c29]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
- [j3]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) - [c28]Ricardo Tanscheit:
Fuzzy Systems in Brazil and at QMC. On Fuzziness (2) 2013: 673-677 - [c27]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 - [c26]Waldir Nunes, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
A quantum-inspired evolutionary algorithm for fuzzy classification. IFSA/NAFIPS 2013: 29-34 - [c25]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 - 2012
- [c24]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 - [c23]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 - [c22]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 - [c21]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 - 2011
- [j2]Roxana Jiménez Contreras, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Hierarchical type-2 neuro-fuzzy BSP model. Inf. Sci. 181(15): 3210-3224 (2011) - [c20]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
2000 – 2009
- 2009
- [j1]Juan Moises Maurício Villanueva, Sebastian Yuri Cavalcanti Catunda, Ricardo Tanscheit:
Maximum-Likelihood Data Fusion of Phase-Difference and Threshold-Detection Techniques for Wind-Speed Measurement. IEEE Trans. Instrum. Meas. 58(7): 2189-2195 (2009) - [c19]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 - [c18]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 - [c17]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 - 2008
- [c16]Roxana Jiménez Conteras, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
Hierarchical Type-2 Neuro-Fuzzy BSP Model. HIS 2008: 770-775 - [c15]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 - 2007
- [c14]Jorge L. M. Amaral, José Franco Machado do Amaral, Ricardo Tanscheit:
Real-Valued Negative Selection Algorithm with a Quasi-Monte Carlo Genetic Detector Generation. ICARIS 2007: 156-167 - [c13]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 - [c12]Ana Carolina Letichevsky, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
A Fuzzy Inference System for Meta-Evaluation. ISDA 2007: 246-251 - [c11]Jorge L. M. Amaral, José Franco Machado do Amaral, Daneil Morin, Ricardo Tanscheit:
An Immune Fault Detection System with Automatic Detector Generation by Genetic Algorithms. ISDA 2007: 283-288 - [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 - 2006
- [c10]Jorge L. M. Amaral, José Franco Machado do Amaral, Ricardo Tanscheit:
An Immune Fault Detection System for Analog Circuits with Automatic Detector Generation. IEEE Congress on Evolutionary Computation 2006: 2966-2972 - 2005
- [c9]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 - [c8]Adriana da Costa F. Chaves, Marley M. B. R. Vellasco, Ricardo Tanscheit:
Fuzzy Rule Extraction from Support Vector Machines. HIS 2005: 335-340 - 2004
- [c7]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- - [c6]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 - [c5]Cristina Costa Santini, José F. M. do Amaral, Marco Aurélio Cavalcanti Pacheco, Ricardo Tanscheit:
Evolvability and reconfigurability. FPT 2004: 105-112 - [c4]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 - 2003
- [c3]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 - 2002
- [c2]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 - 2001
- [c1]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
Coauthor Index
José F. M. do Amaral
aka: José Franco Machado do Amaral
aka: José Franco Machado do Amaral
Leonardo A. F. Mendoza
aka: Leonardo A. Forero Mendoza
aka: Leonardo Forero Mendoza
aka: Leonardo Forero 0001
aka: Leonardo A. Forero Mendoza
aka: Leonardo Forero Mendoza
aka: Leonardo Forero 0001
Marco Aurélio Pacheco
aka: Marco Aurélio Cavalcanti Pacheco
aka: Marco Aurélio Cavalcanti Pacheco
Marley M. B. R. Vellasco
aka: Marley Maria Bernardes Rebuzzi Vellasco
aka: Marley Maria Bernardes Rebuzzi Vellasco
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