George M. Coghill

34 papers B 2C 1Misc 1Journal 17Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Towards a Measure Theory of Semantic Information.
CoRR
George M. Coghill
2023 J jnl
A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems.
Soft Comput.
AbuBakr Awad, George M. Coghill, Wei Pang
2023 J jnl
A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications.
Artif. Intell. Rev.
AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill
2022 — conf
Enhanced Affinity Propagation Clustering on Heterogeneous Information Network.
UKCI
Debinal Rajan, Shouyong Jiang, Dewei Yi, Wei Pang, George M. Coghill
2022 — conf
Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions.
ANNPR
Adinath Ghadage, Dewei Yi, George M. Coghill, Wei Pang
2021 J jnl
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks.
CoRR
Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang
2021 J jnl
A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications.
CoRR
AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill
2021 B conf
An Immune-Inspired Approach to Macro-Level Neural Ensemble Search.
CEC
Luc Frachon, Wei Pang, George M. Coghill
2021 — conf
Are Contrastive Explanations Useful?
SICSA XAI
James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill
2020 J jnl
An Efficient v-Minimum Absolute Deviation Distribution Regression Machine.
IEEE Access
Yan Wang, Yao Wang, Yingying Song, Xuping Xie, Lan Huang, Wei Pang, George M. Coghill
2020 J jnl
Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches.
Memetic Comput.
Muhammad Usman, Wei Pang, George M. Coghill
2019 C conf
A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour.
ALIFE
AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill
2019 — conf
A physarum-inspired competition algorithm for solving discrete multi-objective optimization problems.
GECCO (Companion)
AbuBakr Awad, Muhammad Usman, David Lusseau, George M. Coghill, Wei Pang
2019 J jnl
ImmuNeCS: Neural Committee Search by an Artificial Immune System.
CoRR
Luc Frachon, Wei Pang, George M. Coghill
2019 — conf
Inferring structure and parameters of dynamic systems using particle swarm optimization.
GECCO (Companion)
Muhammad Usman, AbuBakr Awad, Wei Pang, George M. Coghill
2019 — conf
Swarm Inspired Approaches for K-prototypes Clustering.
UKCI
Hadeel Albalawi, Wei Pang, George M. Coghill
2018 — conf
A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks.
SICSA ReaLX
Kuratu M. Tanimu, Wei Pang, George M. Coghill
2018 Misc conf
CLEMI-Imputation Evaluation.
SACI
Anthony Chapman, Wei Pang, George M. Coghill
2018 — conf
Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks.
UKCI
AbuBakr Awad, Wei Pang, George M. Coghill
2018 B conf
Towards making NLG a voice for interpretable Machine Learning.
INLG
James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill
2015 — conf
ADOVA: Anomaly Detection in Online and Virtual spAces.
COOS@AAMAS
Chukwuemeka David Emele, Vitalij Spakov, Wei Pang, Jone Bone, George M. Coghill
2015 J jnl
An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing.
Cogn. Comput.
Zujian Wu, Wei Pang, George M. Coghill
2015 J jnl
An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems.
Soft Comput.
Zujian Wu, Wei Pang, George M. Coghill
2015 J jnl
Applications and design of cooperative multi-agent ARN-based systems.
Soft Comput.
Claire E. Gerrard, John A. W. McCall, Christopher MacLeod, George M. Coghill
2015 J jnl
QML-AiNet: An immune network approach to learning qualitative differential equation models.
Appl. Soft Comput.
Wei Pang, George M. Coghill
2015 J jnl
Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast.
Biosyst.
Wei Pang, George M. Coghill
2013 J jnl
Advances in computational intelligence (UKCI 2012).
Soft Comput.
Anna V. Kononova, Philippe De Wilde, George M. Coghill
2013 — conf
Artificial Reaction Network Agents.
ECAL
Claire E. Gerrard, John A. W. McCall, George M. Coghill, Christopher MacLeod
2012 — conf
Integrating natural language generation and model-based reasoning for explanation generation.
UKCI
Donald Matheson, George M. Coghill, Somayajulu Gowri Sripada
2011 J jnl
Analysing GCN4 translational control in yeast by stochastic chemical kinetics modelling and simulation.
BMC Syst. Biol.
Tao You, Ian Stansfield, M. Carmen Romano, Alistair J. P. Brown, George M. Coghill
2007 J jnl
A quantitative model for the GCN4 translational control in Saccharomyces cerevisiae.
BMC Syst. Biol.
Tao You, Alistair J. P. Brown, George M. Coghill
2006 — conf
Incremental Fault Isolation for Dynamic Processes.
SGAI Conf.
George M. Coghill, Guofu Wu
2004 — conf
A Model-Based Approach to Robot Fault Diagnosis.
SGAI Conf. (Applications)
Honghai Liu, George M. Coghill
2004 J jnl
Towards Model-based Methods for Developing Model-based Systems.
Int. J. Gen. Syst.
George M. Coghill