George Panoutsos - Citegraph

Author Info

Name	Affiliation	Papers
GEORGE PANOUTSOS	Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK	18
Collaborators	Citations	PageRank
25	57	7.59
Referers	Referees	References
112	323	167

Search Limit

100323

Publications (18 rows)

Collaborators (25 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Multi-criteria decision making using Fuzzy Logic and ATOVIC with application to manufacturing	0	0.34	2020
Long-term learning for type-2 neural-fuzzy systems	2	0.35	2019
Interpretable Machine Learning: Convolutional Neural Networks with RBF Fuzzy Logic Classification Rules	0	0.34	2018
Model-based feature selection based on Radial Basis Functions and information measures	0	0.34	2016
A Shannon entropy-based conflict measure for enhancing granular computing-based information processing	1	0.44	2014
A Novelty Detection Framework Based on Fuzzy Entropy for a Complex Manufacturing Process.	0	0.34	2014
Radial Basis Function Neural-fuzzy Model for Microarray Signature Identification.	0	0.34	2013
Granular computing neural-fuzzy modelling: A neutrosophic approach	19	0.68	2013
A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition	2	0.52	2012
Multiple characterisation modelling of friction stir welding using a genetic multi-objective data-driven fuzzy modelling approach	2	0.38	2011
Adaptive Neural-Fuzzy Inference System For Classification Of Rail Quality Data With Bootstrapping-Based Over-Sampling	1	0.38	2011
Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT)	0	0.34	2011
Neural-fuzzy Modelling of Lung Volume using Absolute Electrical Impedance Tomography.	0	0.34	2011
Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction	5	0.49	2011
Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends	2	0.45	2010
A generic framework for enhancing the interpretability Of granular computing-based information	0	0.34	2010
A neural-fuzzy modelling framework based on granular computing: Concepts and applications	20	0.78	2010
Modelling imprecise and scattered multidimensional data using granular data compression and multiple granularity modelling	3	0.42	2010

1