Ricardo Tanscheit

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 22

Top Topics

Genetic Programming

Capital Budgeting

Genetic Algorithm

Top Venues

Neural Comput. Appl.

Publications

Diego Páez Ardila, Diana Martínez Reyes, Cesar 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)
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)
Talitha F. Speranza, Ricardo Tanscheit, Marley M. B. R. Vellasco
A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks. EANN (2020)
Errison Alves, Ricardo Tanscheit, Marley M. B. R. Vellasco
SENFIS - Selected Ensemble of Fuzzy Inference Systems. FUZZ-IEEE (2019)
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)
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)
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) (2019)
Manoela Kohler, Marley M. B. R. Vellasco, Ricardo Tanscheit
PSO+: A new particle swarm optimization algorithm for constrained problems. Appl. Soft Comput. 85 (2019)
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)
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)
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)
Antonio Carlos Sampaio Filho, Marley M. B. R. Vellasco, Ricardo Tanscheit
A unified solution in fuzzy capital budgeting. Expert Syst. Appl. 98 (2018)
André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias
Econometric Genetic Programming in Binary Classification: Evolving Logistic Regressions Through Genetic Programming. EPIA (2017)
Luciano R. Silveira, Ricardo Tanscheit, Marley M. B. R. Vellasco
Quantum inspired evolutionary algorithm for ordering problems. Expert Syst. Appl. 67 (2017)
André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias
Econometric genetic programming outperforms traditional econometric algorithms for regression tasks. GECCO (Companion) (2017)
Dinart Duarte Braga, Ricardo Tanscheit, Marley M. B. R. Vellasco
Neural network nonlinear plant identification as a tool in intelligent controller design. IJCNN (2017)
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)
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)
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)
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) (2016)
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)
Jorge Paredes, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama
Automatic Synthesis of Fuzzy Inference Systems for Classification. IPMU (1) (2016)
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)
Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. IFSA-EUSFLAT (2015)
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 (2015)
Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
GPFIS-Control: A fuzzy Genetic model for Control tasks. FUZZ-IEEE (2014)
Cesar H. Valencia, Marley M. B. R. Vellasco, Ricardo Tanscheit, Karla T. Figueiredo
Magnetorheological Damper Control in a Leg Prosthesis Mechanical. RiTA (2014)
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)
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) (2014)
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) (2014)
Waldir Nunes, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
A quantum-inspired evolutionary algorithm for fuzzy classification. IFSA/NAFIPS (2013)
Ricardo Tanscheit
Fuzzy Systems in Brazil and at QMC. On Fuzziness (2) (2013)
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)
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) (2013)
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)
Miguel A. G. Pinto, Ricardo Tanscheit, Marley M. B. R. Vellasco
Hybrid recommendation system based on collaborative filtering and fuzzy numbers. FUZZ-IEEE (2012)
Javier E. Reyes Sanchez, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
Measurement Correction for Multiple Sensors Using Modified Autoassociative Neural Networks. EANN (2012)
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)
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)
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)
Roxana Jiménez Contreras, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
Hierarchical type-2 neuro-fuzzy BSP model. Inf. Sci. 181 (15) (2011)
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)
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)
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)
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) (2009)
Roxana Jiménez Conteras, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
Hierarchical Type-2 Neuro-Fuzzy BSP Model. HIS (2008)
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)
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)
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)
Ana Carolina Letichevsky, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
A Fuzzy Inference System for Meta-Evaluation. ISDA (2007)
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)
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)
Adriana da Costa F. Chaves, Marley M. B. R. Vellasco, Ricardo Tanscheit
Fuzzy Rule Extraction from Support Vector Machines. HIS (2005)
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)
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)
Cristina Costa Santini, José F. M. do Amaral, Marco Aurélio Cavalcanti Pacheco, Ricardo Tanscheit
Evolvability and reconfigurability. FPT (2004)
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)
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)
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)
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)
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)