George Panoutsos

65 papers B 14C 1Misc 2Journal 26Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disturbance observer-based tracking control for roll-to-roll slot die coating systems under gap and pump rate disturbances. CoRR Zezhi Tang, Christopher Passmore, Andrew I Campbell, Jonathan Howse, J. Anthony Rossiter, Stephen Ebbens, George Panoutsos
2026	J	`jnl`	Multi-layer process control in selective laser melting: a reinforcement learning approach. J. Intell. Manuf. Stylianos Vagenas, Taha Al-Saadi, George Panoutsos
2025	—	`conf`	A New Framework for Visualising Diversity Properties of Pareto Front Approximations in Many-objective Optimisation. GECCO Companion Kai Eivind Wu, George Panoutsos
2025	—	`conf`	Constrained Reinforcement Learning for Advanced Control in Powder Bed Fusion. ECC Stylianos Vagenas, George Panoutsos
2025	J	`jnl`	TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models. CoRR Yuchi Tang, Iñaki Esnaola, George Panoutsos
2024	J	`jnl`	A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. Comput. Biol. Medicine Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley, Annica K. B. Gad, George Panoutsos
2024	—	`ed.`	Advances in Computational Intelligence Systems - Contributions Presented at the 21st UK Workshop on Computational Intelligence, UKCI 2022, September 7-9, 2022, Sheffield, UK UKCI George Panoutsos, Mahdi Mahfouf, Lyudmila S. Mihaylova
2024	J	`jnl`	Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars
2024	J	`jnl`	In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach. J. Intell. Manuf. Mohamed Atwya, George Panoutsos
2024	—	`conf`	Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach. ICIT Hongyu Zhao, Zezhi Tang, Zhenhong Li, Yi Dong, Yuancheng Si, Mingyang Lu, George Panoutsos
2024	J	`jnl`	Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach. CoRR Hongyu Zhao, Zezhi Tang, Zhenhong Li, Yi Dong, Yuancheng Si, Mingyang Lu, George Panoutsos
2024	—	`conf`	Reinforcement Learning-Based Output Stabilization Control for Nonlinear Systems With Generalized Disturbances. ICIT Zezhi Tang, J. Anthony Rossiter, Yi Dong, George Panoutsos
2023	J	`jnl`	A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. CoRR Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley, Annica K. B. Gad, George Panoutsos
2023	J	`jnl`	An evolving feature weighting framework for radial basis function neural network models. Expert Syst. J. Knowl. Eng. Muhammad Zaiyad Muda, Adrian Rubio Solis, George Panoutsos
2023	—	`conf`	High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors. GECCO Companion Kai Eivind Wu, George Panoutsos
2023	—	`conf`	Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing. ICNSC Emad M. Grais, Scott V. Notley, George Panoutsos
2022	—	`conf`	A Fuzzy Logic-Based Framework for Statistical Process Control in Additive Manufacturing. UKCI Atakan Sahin, Pilar Rey, George Panoutsos
2022	J	`jnl`	A novel approach to PFC for nonlinear systems. Eur. J. Control John Anthony Rossiter, Muhammad Saleheen Aftab, George Panoutsos, Oscar Gonzalez-Villarreal
2022	—	`conf`	Exploiting Laguerre polynomials and steady-state estimates to facilitate tuning of PFC. ECC John Anthony Rossiter, Muhammad Saleheen Aftab, George Panoutsos
2022	—	`conf`	Improving the Explainability of Multi-criteria Decision-Making Using Neutrosophic Logic. UKCI Hesham Yusuf, Kai Yang, George Panoutsos
2022	C	`conf`	Self-tuning multi-model statistical process control for process monitoring in additive manufacturing. CoDIT Atakan Sahin, Pilar Rey, George Panoutsos
2022	J	`jnl`	Structure optimization of prior-knowledge-guided neural networks. Neurocomputing Mohamed Atwya, George Panoutsos
2021	B	`conf`	A New Diversity Performance Indicator for Many-Objective Optimisation Problems. CEC Kai Eivind Wu, George Panoutsos
2021	B	`conf`	A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation. CEC Kai Eivind Wu, George Panoutsos
2021	—	`conf`	An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models. UKCI Muhammad Zaiyad Muda, George Panoutsos
2021	—	`conf`	Control of selective laser melting processes: existing efforts, challenges, and future opportunities. MED Taha Al-Saadi, J. Anthony Rossiter, George Panoutsos
2021	—	`conf`	Fuzzy Multi-Criteria Decision-Making: Example of an Explainable Classification Framework. UKCI Hesham Yusuf, Kai Yang, George Panoutsos
2021	—	`conf`	Mental Workload Estimation using Wireless EEG Signals. BIOSIGNALS Quadri Adewale, George Panoutsos
2021	B	`conf`	Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. IJCNN Scott V. Notley, Yunhui Chen, Peter D. Lee, George Panoutsos
2020	J	`jnl`	A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. Neurocomputing Adrian Rubio-Solis, George Panoutsos, Carlos Beltran Perez, Uriel Martinez-Hernandez
2020	B	`conf`	A New Method for Generating and Indexing Reference Points in Many Objective Optimisation. CEC Kai Eivind Wu, George Panoutsos
2020	J	`jnl`	A data-driven approach for predicting printability in metal additive manufacturing processes. J. Intell. Manuf. William Mycroft, Mordechai Katzman, Samuel Tammas-Williams, Everth Hernandez-Nava, George Panoutsos, Iain Todd, Visakan Kadirkamanathan
2020	B	`conf`	Multi-criteria decision making using Fuzzy Logic and ATOVIC with application to manufacturing. FUZZ-IEEE Hesham Yusuf, George Panoutsos
2020	J	`jnl`	Transient Thermography for Flaw Detection in Friction Stir Welding: A Machine Learning Approach. IEEE Trans. Ind. Informatics Mohamed Atwya, George Panoutsos
2019	J	`jnl`	General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model. IEEE Trans. Fuzzy Syst. Adrian Rubio Solis, Patricia Melin, Uriel Martinez-Hernandez, George Panoutsos
2019	J	`jnl`	Long-term learning for type-2 neural-fuzzy systems. Fuzzy Sets Syst. Ali Baraka, George Panoutsos
2019	J	`jnl`	Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing. IEEE Trans. Ind. Electron. Chengming Shi, George Panoutsos, Bo Luo, Hongqi Liu, Bin Li, Xu Lin
2018	B	`conf`	Evolutionary Extreme Learning Machine for the Interval Type-2 Radial Basis Function Neural Network: A Fuzzy Modelling Approach. FUZZ-IEEE Adrian Rubio Solis, Uriel Martinez-Hernandez, George Panoutsos
2018	—	`conf`	Interpretable Machine Learning: Convolutional Neural Networks with RBF Fuzzy Logic Classification Rules. IEEE Conf. on Intelligent Systems Zhen Xi, George Panoutsos
2017	B	`conf`	A combined Adaptive Neuro-Fuzzy and Bayesian strategy for recognition and prediction of gait events using wearable sensors. FUZZ-IEEE Uriel Martinez-Hernandez, Adrian Rubio Solis, George Panoutsos, Abbas A. Dehghani-Sanij
2017	B	`conf`	An ensemble data-driven fuzzy network for laser welding quality prediction. FUZZ-IEEE Adrian Rubio Solis, George Panoutsos
2016	—	`conf`	A Data-driven fuzzy modelling framework for the classification of imbalanced data. IEEE Conf. on Intelligent Systems Adrian Rubio Solis, George Panoutsos, Steve Thornton
2016	B	`conf`	Iterative information granulation for novelty detection in complex datasets. FUZZ-IEEE Adrian Rubio Solis, George Panoutsos
2016	B	`conf`	Model-based feature selection based on Radial Basis Functions and information measures. FUZZ-IEEE Georgios N. Tzagarakis, George Panoutsos
2015	J	`jnl`	Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework. IEEE Trans. Fuzzy Syst. Adrian Rubio Solis, George Panoutsos
2014	—	`conf`	A Novelty Detection Framework Based on Fuzzy Entropy for a Complex Manufacturing Process. IEEE Conf. on Intelligent Systems (2) Adriana Gonzalez-Rodriguez, George Panoutsos, Mahdi Mahfouf, Kathryn Beamish
2014	Misc	`conf`	A Shannon entropy-based conflict measure for enhancing granular computing-based information processing. GrC Ali Baraka, George Panoutsos, Mahdi Mahfouf, Stephen Cater
2014	B	`conf`	Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification. FUZZ-IEEE Adrian Rubio Solis, George Panoutsos
2013	J	`jnl`	Granular computing neural-fuzzy modelling: A neutrosophic approach. Appl. Soft Comput. Adrian Rubio Solis, George Panoutsos
2013	—	`conf`	Radial Basis Function Neural-fuzzy Model for Microarray Signature Identification. BIOINFORMATICS Julio De Alejandro Montalvo, George Panoutsos, Mahdi Mahfouf, James W. Catto
2012	B	`conf`	A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition. IEEE Congress on Evolutionary Computation Guangrui Zhang, Mahdi Mahfouf, George Panoutsos, Shen Wang
2011	B	`conf`	Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling. FUZZ-IEEE Yong Yao Yang, Mahdi Mahfouf, George Panoutsos, Qian Zhang, Steve Thornton
2011	J	`jnl`	Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction. Adv. Eng. Softw. Yong Yao Yang, Mahdi Mahfouf, George Panoutsos
2011	B	`conf`	Multiple characterisation modelling of friction stir welding using a genetic multi-objective data-driven fuzzy modelling approach. FUZZ-IEEE Qian Zhang, Mahdi Mahfouf, George Panoutsos, Kathryn Beamish, Ian Norris
2011	—	`conf`	Neural-fuzzy Modelling of Lung Volume using Absolute Electrical Impedance Tomography. BIOSIGNALS Suzani Mohamad-Samuri, George Panoutsos, Mahdi Mahfouf, Gary H. Mills, Mouloud Azzedine Denaï, Brian H. Brown
2011	—	`conf`	Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT). BIOSTEC (Selected Papers) Suzani Mohamad-Samuri, George Panoutsos, Mahdi Mahfouf, Gary H. Mills, Mouloud Azzedine Denaï, Brian H. Brown
2010	—	`conf`	A generic framework for enhancing the interpretability Of granular computing-based information. IEEE Conf. of Intelligent Systems George Panoutsos, Mahdi Mahfouf, Gary H. Mills, Brian H. Brown
2010	J	`jnl`	A neural-fuzzy modelling framework based on granular computing: Concepts and applications. Fuzzy Sets Syst. George Panoutsos, Mahdi Mahfouf
2010	J	`jnl`	Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends. IEEE Trans. Inf. Technol. Biomed. Mouloud Azzedine Denaï, Mahdi Mahfouf, Suzani Mohamad-Samuri, George Panoutsos, Brian H. Brown, Gary H. Mills
2010	J	`jnl`	Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: Advisory system design and evaluation. Comput. Methods Programs Biomed. Ang Wang, Mahdi Mahfouf, Gary H. Mills, George Panoutsos, Derek A. Linkens, Kevin M. Goode, Hoi-Fei Kwok, Mouloud Azzedine Denaï
2010	J	`jnl`	Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model. Comput. Methods Programs Biomed. Ang Wang, Mahdi Mahfouf, Gary H. Mills, George Panoutsos, Derek A. Linkens, Kevin M. Goode, Hoi-Fei Kwok, Mouloud Azzedine Denaï
2010	J	`jnl`	Modelling steel heat treatment data using granular data compression and multiple granularity modelling. Int. J. Granul. Comput. Rough Sets Intell. Syst. George Panoutsos, Mahdi Mahfouf
2010	J	`jnl`	Real-Time Adaptive Automation System Based on Identification of Operator Functional State in Simulated Process Control Operations. IEEE Trans. Syst. Man Cybern. Part A Ching-Hua Ting, Mahdi Mahfouf, Ashraf Nassef, Derek A. Linkens, George Panoutsos, Peter Nickel, Adam Charles Roberts, G. Robert J. Hockey
2008	—	`ch.`	An Incremental Learning Structure Using Granular Computing and Model Fusion with Application to Materials Processing. Intelligent Techniques and Tools for Novel System Architectures George Panoutsos, Mahdi Mahfouf
2008	Misc	`conf`	Modelling Imprecise and Scattered Multidimensional Data using Granular Data Compression and Multiple Granularity Modelling. GrC George Panoutsos, Mahdi Mahfouf