George Panoutsos
Orcid: 0000-0002-7395-8418
According to our database1,
George Panoutsos
authored at least 52 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach.
CoRR, 2024
2023
An evolving feature weighting framework for radial basis function neural network models.
Expert Syst. J. Knowl. Eng., June, 2023
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.
CoRR, 2023
Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Neurocomputing, 2022
Exploiting Laguerre polynomials and steady-state estimates to facilitate tuning of PFC.
Proceedings of the European Control Conference, 2022
Self-tuning multi-model statistical process control for process monitoring in additive manufacturing.
Proceedings of the 8th International Conference on Control, 2022
2021
Fuzzy Multi-Criteria Decision-Making: Example of an Explainable Classification Framework.
Proceedings of the Advances in Computational Intelligence Systems, 2021
Proceedings of the Advances in Computational Intelligence Systems, 2021
Control of selective laser melting processes: existing efforts, challenges, and future opportunities.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Transient Thermography for Flaw Detection in Friction Stir Welding: A Machine Learning Approach.
IEEE Trans. Ind. Informatics, 2020
A data-driven approach for predicting printability in metal additive manufacturing processes.
J. Intell. Manuf., 2020
A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors.
Neurocomputing, 2020
Multi-criteria decision making using Fuzzy Logic and ATOVIC with application to manufacturing.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
A New Method for Generating and Indexing Reference Points in Many Objective Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing.
IEEE Trans. Ind. Electron., 2019
IEEE Trans. Fuzzy Syst., 2019
2018
Interpretable Machine Learning: Convolutional Neural Networks with RBF Fuzzy Logic Classification Rules.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018
Evolutionary Extreme Learning Machine for the Interval Type-2 Radial Basis Function Neural Network: A Fuzzy Modelling Approach.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
A combined Adaptive Neuro-Fuzzy and Bayesian strategy for recognition and prediction of gait events using wearable sensors.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016
Model-based feature selection based on Radial Basis Functions and information measures.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
IEEE Trans. Fuzzy Syst., 2015
2014
A Novelty Detection Framework Based on Fuzzy Entropy for a Complex Manufacturing Process.
Proceedings of the Intelligent Systems'2014, 2014
A Shannon entropy-based conflict measure for enhancing granular computing-based information processing.
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014
Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Appl. Soft Comput., 2013
Radial Basis Function Neural-fuzzy Model for Microarray Signature Identification.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013
2012
A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction.
Adv. Eng. Softw., 2011
Multiple characterisation modelling of friction stir welding using a genetic multi-objective data-driven fuzzy modelling approach.
Proceedings of the FUZZ-IEEE 2011, 2011
Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling.
Proceedings of the FUZZ-IEEE 2011, 2011
Neural-fuzzy Modelling of Lung Volume using Absolute Electrical Impedance Tomography.
Proceedings of the BIOSIGNALS 2011, 2011
Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT).
Proceedings of the Biomedical Engineering Systems and Technologies, 2011
2010
Real-Time Adaptive Automation System Based on Identification of Operator Functional State in Simulated Process Control Operations.
IEEE Trans. Syst. Man Cybern. Part A, 2010
Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends.
IEEE Trans. Inf. Technol. Biomed., 2010
Modelling steel heat treatment data using granular data compression and multiple granularity modelling.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010
A neural-fuzzy modelling framework based on granular computing: Concepts and applications.
Fuzzy Sets Syst., 2010
Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: Advisory system design and evaluation.
Comput. Methods Programs Biomed., 2010
Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model.
Comput. Methods Programs Biomed., 2010
A generic framework for enhancing the interpretability Of granular computing-based information.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010
2008
An Incremental Learning Structure Using Granular Computing and Model Fusion with Application to Materials Processing.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008
Modelling Imprecise and Scattered Multidimensional Data using Granular Data Compression and Multiple Granularity Modelling.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008