受强制性开放获取政策约束的文章 - Edwin Lughofer了解详情
无法在其他位置公开访问的文章：32 篇
GENEFIS: Toward an effective localist network
M Pratama, SG Anavatti, E Lughofer
IEEE Transactions on Fuzzy Systems 22 (3), 547-562, 2013
强制性开放获取政策： Austrian Science Fund
On-line assurance of interpretability criteria in evolving fuzzy systems–achievements, new concepts and open issues
E Lughofer
Information sciences 251, 22-46, 2013
强制性开放获取政策： Austrian Science Fund
Single-pass active learning with conflict and ignorance
E Lughofer
Evolving Systems 3 (4), 251-271, 2012
强制性开放获取政策： Austrian Science Fund
Hybrid active learning for reducing the annotation effort of operators in classification systems
E Lughofer
Pattern Recognition 45 (2), 884-896, 2012
强制性开放获取政策： Austrian Science Fund
An incremental meta-cognitive-based scaffolding fuzzy neural network
M Pratama, J Lu, S Anavatti, E Lughofer, CP Lim
Neurocomputing 171, 89-105, 2016
强制性开放获取政策： Australian Research Council
On-line incremental feature weighting in evolving fuzzy classifiers
E Lughofer
Fuzzy Sets and Systems 163 (1), 1-23, 2011
强制性开放获取政策： Austrian Science Fund
A dynamic split-and-merge approach for evolving cluster models
E Lughofer
Evolving systems 3 (3), 135-151, 2012
强制性开放获取政策： Austrian Science Fund
Reliable all-pairs evolving fuzzy classifiers
E Lughofer, O Buchtala
IEEE Transactions on Fuzzy Systems 21 (4), 625-641, 2012
强制性开放获取政策： Austrian Science Fund
Self-adaptive and local strategies for a smooth treatment of drifts in data streams
A Shaker, E Lughofer
Evolving Systems 5, 239-257, 2014
强制性开放获取政策： Austrian Science Fund, German Research Foundation
On employing fuzzy modeling algorithms for the valuation of residential premises
E Lughofer, B Trawiński, K Trawiński, O Kempa, T Lasota
Information Sciences 181 (23), 5123-5142, 2011
强制性开放获取政策： Austrian Science Fund
An advanced interpretable fuzzy neural network model based on uni-nullneuron constructed from n-uninorms
PV de Campos Souza, E Lughofer
Fuzzy Sets and Systems 426, 1-26, 2022
强制性开放获取政策： Austrian Science Fund
Flexible evolving fuzzy inference systems from data streams (FLEXFIS++)
E Lughofer
Learning in non-stationary environments: methods and applications, 205-245, 2012
强制性开放获取政策： Austrian Science Fund
Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures?
J Liu, E Lughofer, X Zeng
Neurocomputing 168, 947-960, 2015
强制性开放获取政策： 国家自然科学基金委员会
Evolving fuzzy and neuro-fuzzy systems: Fundamentals, stability, explainability, useability, and applications
E Lughofer
Handbook on Computer Learning and Intelligence: Volume 2: Deep Learning …, 2022
强制性开放获取政策： Austrian Science Fund
Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds
P Souza, H Ponce, E Lughofer
Knowledge-Based Systems 203, 106099, 2020
强制性开放获取政策： Austrian Science Fund
Evolving neuro-fuzzy systems-based design of experiments in process identification
M Ožbot, E Lughofer, I Škrjanc
IEEE Transactions on Fuzzy Systems 31 (6), 1995-2005, 2022
强制性开放获取政策： Slovenian Research Agency
Dynamic evolving cluster models using on-line split-and-merge operations
E Lughofer
2011 10th International Conference on Machine Learning and Applications and …, 2011
强制性开放获取政策： Austrian Science Fund
Online quality control with flexible evolving fuzzy systems
E Lughofer, C Eitzinger, C Guardiola
Learning in Non-Stationary Environments: Methods and Applications, 375-406, 2012
强制性开放获取政策： Austrian Science Fund
Detection of driver maneuvers using evolving fuzzy cloud-based system
G Andonovski, O Sipele, JA Iglesias, A Sanchis, E Lughofer, I Škrjanc
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 700-706, 2020
强制性开放获取政策： Slovenian Research Agency
Generalized flexible fuzzy inference systems
E Lughofer, C Cernuda, M Pratama
2013 12th International Conference on Machine Learning and Applications 2, 1-7, 2013
强制性开放获取政策： Austrian Science Fund
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