George Panoutsos

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Topics

Novelty Detection

Reference Points

Manufacturing Process

Top Venues

Publications

Hongyu Zhao, Zezhi Tang, Zhenhong Li, Yi Dong, Yuancheng Si, Mingyang Lu, George Panoutsos
Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach. CoRR (2024)
Muhammad Zaiyad Muda, Adrian Rubio Solis, George Panoutsos
An evolving feature weighting framework for radial basis function neural network models. Expert Syst. J. Knowl. Eng. 40 (5) (2023)
Emad M. Grais, Scott V. Notley, George Panoutsos
Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing. ICNSC (2023)
Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley, Annica K. B. Gad, George Panoutsos
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. CoRR (2023)
Kai Eivind Wu, George Panoutsos
High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors. GECCO Companion (2023)
Mohamed Atwya, George Panoutsos
Structure optimization of prior-knowledge-guided neural networks. Neurocomputing 491 (2022)
John Anthony Rossiter, Muhammad Saleheen Aftab, George Panoutsos, Oscar Gonzalez-Villarreal
A novel approach to PFC for nonlinear systems. Eur. J. Control 68 (2022)
John Anthony Rossiter, Muhammad Saleheen Aftab, George Panoutsos
Exploiting Laguerre polynomials and steady-state estimates to facilitate tuning of PFC. ECC (2022)
Atakan Sahin, Pilar Rey, George Panoutsos
Self-tuning multi-model statistical process control for process monitoring in additive manufacturing. CoDIT (2022)
Quadri Adewale, George Panoutsos
Mental Workload Estimation using Wireless EEG Signals. BIOSIGNALS (2021)
Hesham Yusuf, Kai Yang, George Panoutsos
Fuzzy Multi-Criteria Decision-Making: Example of an Explainable Classification Framework. UKCI (2021)
Kai Eivind Wu, George Panoutsos
A New Diversity Performance Indicator for Many-Objective Optimisation Problems. CEC (2021)
Kai Eivind Wu, George Panoutsos
A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation. CEC (2021)
Taha Al-Saadi, J. Anthony Rossiter, George Panoutsos
Control of selective laser melting processes: existing efforts, challenges, and future opportunities. MED (2021)
Scott V. Notley, Yunhui Chen, Peter D. Lee, George Panoutsos
Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. IJCNN (2021)
Muhammad Zaiyad Muda, George Panoutsos
An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models. UKCI (2021)
Hesham Yusuf, George Panoutsos
Multi-criteria decision making using Fuzzy Logic and ATOVIC with application to manufacturing. FUZZ-IEEE (2020)
Mohamed Atwya, George Panoutsos
Transient Thermography for Flaw Detection in Friction Stir Welding: A Machine Learning Approach. IEEE Trans. Ind. Informatics 16 (7) (2020)
Adrian Rubio-Solis, George Panoutsos, Carlos Beltran Perez, Uriel Martinez-Hernandez
A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. Neurocomputing 389 (2020)
William Mycroft, Mordechai Katzman, Samuel Tammas-Williams, Everth Hernandez-Nava, George Panoutsos, Iain Todd, Visakan Kadirkamanathan
A data-driven approach for predicting printability in metal additive manufacturing processes. J. Intell. Manuf. 31 (7) (2020)
Kai Eivind Wu, George Panoutsos
A New Method for Generating and Indexing Reference Points in Many Objective Optimisation. CEC (2020)
Adrian Rubio Solis, Patricia Melin, Uriel Martinez-Hernandez, George Panoutsos
General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model. IEEE Trans. Fuzzy Syst. 27 (2) (2019)
Chengming Shi, George Panoutsos, Bo Luo, Hongqi Liu, Bin Li, Xu Lin
Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing. IEEE Trans. Ind. Electron. 66 (5) (2019)
Ali Baraka, George Panoutsos
Long-term learning for type-2 neural-fuzzy systems. Fuzzy Sets Syst. 368 (2019)
Adrian Rubio Solis, Uriel Martinez-Hernandez, George Panoutsos
Evolutionary Extreme Learning Machine for the Interval Type-2 Radial Basis Function Neural Network: A Fuzzy Modelling Approach. FUZZ-IEEE (2018)
Zhen Xi, George Panoutsos
Interpretable Machine Learning: Convolutional Neural Networks with RBF Fuzzy Logic Classification Rules. IEEE Conf. on Intelligent Systems (2018)
Adrian Rubio Solis, George Panoutsos
An ensemble data-driven fuzzy network for laser welding quality prediction. FUZZ-IEEE (2017)
Uriel Martinez-Hernandez, Adrian Rubio Solis, George Panoutsos, Abbas A. Dehghani-Sanij
A combined Adaptive Neuro-Fuzzy and Bayesian strategy for recognition and prediction of gait events using wearable sensors. FUZZ-IEEE (2017)
Georgios N. Tzagarakis, George Panoutsos
Model-based feature selection based on Radial Basis Functions and information measures. FUZZ-IEEE (2016)
Adrian Rubio Solis, George Panoutsos, Steve Thornton
A Data-driven fuzzy modelling framework for the classification of imbalanced data. IEEE Conf. on Intelligent Systems (2016)
Adrian Rubio Solis, George Panoutsos
Iterative information granulation for novelty detection in complex datasets. FUZZ-IEEE (2016)
Adrian Rubio Solis, George Panoutsos
Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework. IEEE Trans. Fuzzy Syst. 23 (2) (2015)
Adriana Gonzalez-Rodriguez, George Panoutsos, Mahdi Mahfouf, Kathryn Beamish
A Novelty Detection Framework Based on Fuzzy Entropy for a Complex Manufacturing Process. IEEE Conf. on Intelligent Systems (2) (2014)
Ali Baraka, George Panoutsos, Mahdi Mahfouf, Stephen Cater
A Shannon entropy-based conflict measure for enhancing granular computing-based information processing. GrC (2014)
Adrian Rubio Solis, George Panoutsos
Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification. FUZZ-IEEE (2014)
Adrian Rubio Solis, George Panoutsos
Granular computing neural-fuzzy modelling: A neutrosophic approach. Appl. Soft Comput. 13 (9) (2013)
Julio De Alejandro Montalvo, George Panoutsos, Mahdi Mahfouf, James W. Catto
Radial Basis Function Neural-fuzzy Model for Microarray Signature Identification. BIOINFORMATICS (2013)
Guangrui Zhang, Mahdi Mahfouf, George Panoutsos, Shen Wang
A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition. IEEE Congress on Evolutionary Computation (2012)
Yong Yao Yang, Mahdi Mahfouf, George Panoutsos
Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction. Adv. Eng. Softw. 42 (7) (2011)
Qian Zhang, Mahdi Mahfouf, George Panoutsos, Kathryn Beamish, Ian Norris
Multiple characterisation modelling of friction stir welding using a genetic multi-objective data-driven fuzzy modelling approach. FUZZ-IEEE (2011)
Suzani Mohamad-Samuri, George Panoutsos, Mahdi Mahfouf, Gary H. Mills, Mouloud Azzedine Denaï, Brian H. Brown
Neural-fuzzy Modelling of Lung Volume using Absolute Electrical Impedance Tomography. BIOSIGNALS (2011)
Suzani Mohamad-Samuri, George Panoutsos, Mahdi Mahfouf, Gary H. Mills, M. Denaï, Brian H. Brown
Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT). BIOSTEC (Selected Papers) (2011)
Yong Yao Yang, Mahdi Mahfouf, George Panoutsos, Qian Zhang, Steve Thornton
Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling. FUZZ-IEEE (2011)
Ching-Hua Ting, Mahdi Mahfouf, Ashraf Nassef, Derek A. Linkens, George Panoutsos, Peter Nickel, Adam C. Roberts, G. Robert J. Hockey
Real-Time Adaptive Automation System Based on Identification of Operator Functional State in Simulated Process Control Operations. IEEE Trans. Syst. Man Cybern. Part A 40 (2) (2010)
Mouloud Azzedine Denaï, Mahdi Mahfouf, Suzani Mohamad-Samuri, George Panoutsos, Brian H. Brown, Gary H. Mills
Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends. IEEE Trans. Inf. Technol. Biomed. 14 (3) (2010)
Ang Wang, Mahdi Mahfouf, Gary H. Mills, George Panoutsos, Derek A. Linkens, Kevin M. Goode, Hoi-Fei Kwok, Mouloud Azzedine Denaï
Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model. Comput. Methods Programs Biomed. 99 (2) (2010)
Ang Wang, Mahdi Mahfouf, Gary H. Mills, George Panoutsos, Derek A. Linkens, Kevin M. Goode, Hoi-Fei Kwok, Mouloud Azzedine Denaï
Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: Advisory system design and evaluation. Comput. Methods Programs Biomed. 99 (2) (2010)
George Panoutsos, Mahdi Mahfouf
Modelling steel heat treatment data using granular data compression and multiple granularity modelling. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1 (4) (2010)
George Panoutsos, Mahdi Mahfouf
A neural-fuzzy modelling framework based on granular computing: Concepts and applications. Fuzzy Sets Syst. 161 (21) (2010)
George Panoutsos, Mahdi Mahfouf, Gary H. Mills, Brian H. Brown
A generic framework for enhancing the interpretability Of granular computing-based information. IEEE Conf. of Intelligent Systems (2010)
George Panoutsos, Mahdi Mahfouf
Modelling Imprecise and Scattered Multidimensional Data using Granular Data Compression and Multiple Granularity Modelling. GrC (2008)