Adriano Soares Koshiyama
Adriano Soares Koshiyama
PhD Student in Computer Science at UCL
Dirección de correo verificada de cs.ucl.ac.uk
TítuloCitado porAño
GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems
AS Koshiyama, MMBR Vellasco, R Tanscheit
Applied Soft Computing 37, 561-571, 2015
152015
GPFIS-control: a genetic fuzzy system for control tasks
AS Koshiyama, MMBR Vellasco, R Tanscheit
Journal of Artificial Intelligence and Soft Computing Research 4 (3), 167-179, 2014
132014
DetectA: abrupt concept drift detection in non-stationary environments
T Escovedo, A Koshiyama, AA da Cruz, M Vellasco
Applied Soft Computing 62, 119-133, 2018
112018
GPF-class: a genetic fuzzy model for classification
AS Koshiyama, T Escovedo, DM Dias, MMBR Vellasco, R Tanscheit
2013 IEEE Congress on Evolutionary Computation, 3275-3282, 2013
112013
Automatic synthesis of fuzzy inference systems for classification
J Paredes, R Tanscheit, M Vellasco, A Koshiyama
International Conference on Information Processing and Management of …, 2016
42016
Fungi infection in honeybee hives in regions affected by Brazilian sac brood
KM Keller, MV Deveza, AS Koshiyama, WS Tassinari, OM Barth, ...
Arquivo Brasileiro de Medicina Veterinária e Zootecnia 66 (5), 1471-1478, 2014
42014
Neve++: A neuro-evolutionary unlimited ensemble for adaptive learning
T Escovedo, AA da Cruz, A Koshiyama, R Melo, M Vellasco
2014 International Joint Conference on Neural Networks (IJCNN), 3331-3338, 2014
42014
Learning under concept drift using a neuro-evolutionary ensemble
T Escovedo, AVABS DA CRUZ, MMBR VELLASCO, AS KOSHIYAMA
International Journal of Computational Intelligence and Applications 12 (04 …, 2013
42013
GPFIS: Um sistema fuzzy-genético genérico baseado em programação genética
A Koshiyama
42013
Combining Forecasts: A Genetic Programming Approach
AS Koshiyama, T Escovedo, DM Dias, MMBR Vellasco, MAC Pacheco
International Journal of Natural Computing Research (IJNCR) 3 (3), 41-58, 2012
42012
Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning
M Silva, A Koshiyama, M Vellasco, E Cataldo
2014 International Joint Conference on Neural Networks (IJCNN), 2391-2398, 2014
32014
Neve: A neuro-evolutionary ensemble for adaptive learning
T Escovedo, AVA da Cruz, M Vellasco, AS Koshiyama
IFIP International Conference on Artificial Intelligence Applications and …, 2013
32013
Numerical optimization by multi-gene genetic programming
AS Koshiyama, DM Dias, AV Abs da Cruz, MAC Pacheco
Proceedings of the 15th annual conference companion on Genetic and …, 2013
32013
Meliponicultura como ferramenta de aprendizado em educação ambiental
EA Ferreira, MVS Paixão, AS Koshiyama, MCA Lorenzon
Ensino, Saude e Ambiente Backup 6 (3), 2013
32013
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective
A Koshiyama, R Tanscheit, M Vellasco
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018
22018
A novel genetic fuzzy system for regression problems
AS Koshiyama, MMBR Vellasco, R Tanscheit
Fuzzy Technology, 85-101, 2016
22016
Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems
AS Koshiyama, MMBR Vellasco, R Tanscheit
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2015
22015
Quantum-inspired multi-gene linear genetic programming model for regression problems
GC Strachan, AS Koshiyama, DM Dias, MMBR Vellasco, MAC Pacheco
2014 Brazilian Conference on Intelligent Systems, 152-157, 2014
22014
GPFIS-Control: A fuzzy Genetic model for Control tasks
AS Koshiyama, T Escovedo, MMBR Vellasco, R Tanscheit
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1953-1959, 2014
22014
Using ensembles for adaptive learning: A comparative approach
T Escovedo, AVA da Cruz, M Vellasco, AS Koshiyama
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013
22013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20