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
132015
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
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
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
62018
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
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
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
32013
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
A novel genetic fuzzy system for regression problems
AS Koshiyama, MMBR Vellasco, R Tanscheit
Fuzzy Technology, 85-101, 2016
22016
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
Spatial Econometrics Applied to Study the Influencing Factors of Honey Prices in Brazil
AS Koshiyama, MCA Lorenzon, W de Souza Tassinari
Brazilian Journal of Operations & Production Management 8 (1), 121-132, 2011
22011
Multi-Modal Optimization by Multi-Gene Genetic Programming
RCBL Póvoa, AS Koshiyama, DM Dias, PL Souza, BAC Horta
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
12018
Algorithms and the Law
J Barnett, AS Koshiyama, P Treleaven
Retrieved from Legal Futures: https://www. legalfutures. co. uk/blog …, 2017
12017
RandomFIS: A Fuzzy Classification System for Big Datasets
O Samudio, M Vellasco, R Tanscheit, A Koshiyama
INNS Conference on Big Data, 262-272, 2016
12016
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Artículos 1–20