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  • 2024

    Enhanced Affinity Propagation Clustering on Heterogeneous Information Network

    Rajan, D., Jiang, S. (Corresponding Author), Yi, D., Pang, W. & Coghill, G., 19 May 2024, Advances in Computational Intelligence Systems: Contributions Presented at the 21st UK Workshop on Computational Intelligence, September 7-9, 2022, Sheffield, UK. Panoutsos, G., Mahfouf, M. & Mihaylova, L. S. (eds.). Cham: Springer , p. 334-346 13 p. (Advances in Intelligent Systems and Computing; vol. 1454).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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  • 2023

    Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions

    Ghadage, A., Yi, D., Coghill, G. & Pang, W. (Corresponding Author), 2023, Artificial Neural Networks in Pattern Recognition: 10th IAPR TC3 Workshop, ANNPR 2022. El Gayar, N., Trentin, E., Ravanelli, M. & Abbas, H. (eds.). Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, Vol. 13739. p. 40-52 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13739 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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    3 Citations (Scopus)
    10 Downloads (Pure)
  • 2020

    Swarm Inspired Approaches for K-prototypes clustering

    Albalawi, H., Pang, W. & Coghill, G. M., 2020, Advances in Computational Intelligence Systems: Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK. Ju, Z., Yang, L., Yang, C., Gegov, A. & Zhou, D. (eds.). Cham: Springer , p. 201-209 9 p. (Advances in Intelligent Systems and Computing; vol. 1043).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • 2019

    A Physarum-Inspired Competition Algorithm for Solving Discrete Multi-Objective Optimization Problems

    Awad, A., Usman, M., Lusseau, D., Coghill, G. M. & Pang, W., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 195-196 2 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    3 Citations (Scopus)
  • Inferring Structure and Parameters of Dynamic Systems using Latin Hypercube Sampling Multi Dimensional Uniformity-Particle Swarm Optimization

    Usman, M., Awad, A., Pang, W. & Coghill, G. M., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 101-102 2 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)
  • A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour

    Awad, A., Pang, W., Lusseau, D. & Coghill, G. M., Jul 2019, ALIFE 2019: The 2019 Conference on Artificial Life. Fellermann, H., Bacardit, J., Goñi-Moreno, Á. & Füchslin, R. M. (eds.). The MIT Press, p. 203-210 8 p. (Artificial Life Conference Proceedings; vol. 31).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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    23 Downloads (Pure)
  • 2018

    Towards making NLG a voice for interpretable Machine Learning

    Forrest, J., Sripada, S., Pang, W. & Coghill, G., 30 Nov 2018, Proceedings of The 11th International Natural Language Generation Conference. Krahmer, E., Gatt, A. & Goudbeek, M. (eds.). Association for Computational Linguistics (ACL), p. 177-182 6 p. W18-6522

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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    16 Citations (Scopus)
    18 Downloads (Pure)
  • Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks

    Awad, A., Pang, W. & Coghill, G. M., 31 Oct 2018, Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. & McGinnity, M. (eds.). Springer , p. 327-338 12 p. (Advances in Intelligent Systems and Computing (AISC); vol. 840).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    3 Citations (Scopus)
  • CLEMI-imputation evaluation

    Chapman, A., Pang, W. & Coghill, G., 20 Aug 2018, SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 373-378 6 p. 8440981

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)
  • ε-Distance Weighted Support Vector Regression

    Ou, G., Wang, Y., Huang, L., Pang, W. & Coghill, G. M., 22 Jul 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Phung, D., Tseng, V. S., Webb, P. G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Springer International Publishing, 17. (Lecture Notes in Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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    2 Citations (Scopus)
    17 Downloads (Pure)
  • Towards a Robust Imputation Evaluation Framework

    Chapman, A., Pang, W. & Coghill, G., 24 Jun 2018, Proceedings of The Seventh International Conference on Intelligent Systems and Applications. Magalhães , G. M. & Gonçalves, A. (eds.). IARIA, p. 7-13 7 p. (INTELLI ).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
  • A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks

    Karatu, M. T., Pang, W. & Coghill, G. M., 2018, ReaLX’18: Reasoning, Learning & Explainability in AI. Martin, K., Wiratunga, N. & Smith, L. S. (eds.). CEUR-WS, Vol. 2151. (CEUR Workshop Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Non-constructive interval simulation of dynamic systems

    Pang, W., Bruce, A. M. & Coghill, G. M., 2018, Proceeding of the 31st International Workshop on Qualitative Reasoning (co-located at IJCAI'18). Falomir, Z., Coghill, G. M. & Pang, W. (eds.). p. 70-77 8 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
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  • Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

    Awad, A., Pang, W. & Coghill, G., 2018, International Conference for Emerging Technologies in Computing iCETiC 2018. Miraz, M. H., Excell, P., Ware, A., Soomro, S. & Ali, M. (eds.). Springer , p. 153-160 8 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST); vol. 200).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    2 Citations (Scopus)
  • 2017

    Large Margin Distribution Machine Recursive Feature Elimination

    Ou, G., Wang, Y., Pang, W. & Coghill, G. M., 2017, The 2017 4th International Conference on Systems and Informatics (ICSAI 2017) . IEEE Press, p. 1427-1432 6 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
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    8 Citations (Scopus)
    35 Downloads (Pure)
  • 2016

    FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm

    Mukhtar, N., Coghill, G. M. & Pang, W., 20 Jul 2016, GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Friedrich, T., Neumann, F. & Sutton, A. M. (eds.). ACM, p. 1007-1010 4 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
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    2 Citations (Scopus)
    21 Downloads (Pure)
  • 2015

    ADOVA: Anomaly Detection in Online and Virtual spAces

    Emele, C. D., Spakov, V., Pang, W., Bone, J. D. & Coghill, G. M., 4 May 2015, Proceedings of the 3rd International Workshop on Collaborative Online Organizations: co-located with the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2015). Alqithami, S. & Hexmoor, H. (eds.). Istanbul, Turkey, Vol. May 4 2015. p. 38-41 4 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
  • 2014

    An immune network approach to learning qualitative models of biological pathways

    Pang, W. & Coghill, G. M., 2014, 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014). IEEE Press, p. 1030-1037 8 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
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    2 Citations (Scopus)
    45 Downloads (Pure)
  • Fuzzy qualitative simulation with multivariate constraints

    Pang, W. & Coghill, G. M., 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014). IEEE Press, p. 575-582 7 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
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    17 Downloads (Pure)
  • 2013

    Artificial chemistry approach to exploring search spaces using Artificial Reaction Network agents

    Gerrard, C. E., McCall, J., MacLeod, C. & Coghill, G. M., Jul 2013, 2013 IEEE Congress on Evolutionary Computation (CEC). IEEE Explore, p. 1201-1208 8 p. 6557702

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)
  • On Model-based Systems and Qualitative Reasoning with reference to the Philosophy of Information

    Coghill, G., 27 Mar 2013, 5th International Workshop on the Philosophy of Information. Floridi, L. (ed.). University of Hertfordshire, 4 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • An Immune Network Approach to Qualitative System Identification of Biological Pathways

    Pang, W. & Coghill, G. M., 2013, 27th International Workshop on Qualitative Reasoning (QR 2013). Bhatt, M., Struss, P. & Freksa, C. (eds.). Bremen, Germany: Universität Bremen / Universität Freiburg, p. 77-84 8 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Combining biochemical network motifs within an ARN-agent control system

    Gerrard, C. E., McCall, J., Macleod, C. & Coghill, G. M., 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI). Jin, Y. & Thomas, S. A. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 8-15 8 p. 6651281

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Stepwise modelling of biochemical pathways based on qualitative model learning

    Wu, Z., Pang, W. & Coghill, G. M., 2013, Proceeding of the 13th UK Workshop on Computational Intelligence. Computational Intelligence (UKCI 2013). Jin, Y. & Thomas , S. A. (eds.). IEEE Explore, p. 31-37 7 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)
  • 2012

    Integrating natural language generation and model-based reasoning for explanation generation

    Matheson, D., Coghill, G. M. & Sripada, S., 5 Dec 2012, 2012 12th UK Workshop on Computational Intelligence, UKCI 2012. 7 p. 6335748

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Adaptive dynamic control of quadrupedal robotic gaits with artificial reaction networks

    Gerrard, C. E., McCall, J., Coghill, G. M. & Macleod, C., 19 Nov 2012, Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 1 ed. p. 280-287 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7663 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    4 Citations (Scopus)
  • Temporal patterns in artificial reaction networks

    Gerrard, C., McCall, J., Coghill, G. M. & MacLeod, C., 25 Oct 2012, Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1 ed. p. 1-8 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7552 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    4 Citations (Scopus)
  • Extended Kernel Subsets Analysis for Qualitative Model Learning

    Pang, W. & Coghill, G. M., 2012, Proceeding of the 12th UK Workshop on Computational Intelligence. De Wilde, P., Coghill, G. M. & Kononova, A. V. (eds.). Edinburgh, UK: IEEE Explore, p. 1-7 7 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • 2011

    A fast opt-AINet approach to qualitative model learning with a modified mutation operator.

    Pang, W. & Coghill, G. M., Sept 2011, Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI). University of Manchester: University of Manchester, p. 43-48 6 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
  • Artificial reaction networks

    Gerrard, C., McCall, J., Coghill, G. M. & Macleod, C., Sept 2011, Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI 2011). Manchester, UK: University of Manchester, p. 20-25 6 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
    6 Citations (Scopus)
  • Diagnosis via qualitative parameter estimation

    Coghill, G. M. & Al-Ballaa, H., Sept 2011, Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI). Manchester: University of Manchester, p. 80-86 7 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • 2010

    Learning Qualitative Metabolic Models Using Evolutionary Methods

    Pang, W. & Coghill, G. M., 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology. Changchun, Jilin Province : IEEE Computer Society, p. 436-441 6 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    3 Citations (Scopus)
  • Moving from data to text using causal statements in explanatory narratives

    Matheson, D. E., Sripada, G. S. & Coghill, G. M., 2010, Proceedings of the 10th UK Workshop on Computational Intelligence (UKCI). IEEE Explore, 6 p. (UK Workshop on Computational Intelligence (UKCI)).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    2 Citations (Scopus)
  • QML-AiNet: An Immune-inspired Network Approach to Qualitative Model Learning

    Pang, W. & Coghill, G. M., 2010, proc. of 8th International Conference on Artificial Immune Systems (ICARIS 2010). Hart, E., McEwan, C., Timmis, J. & Hone, A. (eds.). Berlin Heidelberg: Springer Verlag, p. 223-236 14 p. (Lecture Notes in Computer Science; vol. 6209).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    7 Citations (Scopus)
  • 2009

    An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal

    Pang, W. & Coghill, G. M., 28 Jul 2009, Lecture Notes in Computer Science. Springer , Vol. 5666. p. 151-164 14 p. (Lecture Notes in Computer Science; vol. 5666).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)
  • 2008

    Learning qualitative models of the detoxification pathway of methylglyoxal

    Pang, W. & Coghill, G. M., 2008, the 8th annual UK Workshop on Computational Intelligence. De Montford University, UK, p. CD

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • 2007

    Geometrical representation of quantity space and its application to robot motion description

    Liu, H., Brown, D. J. & Coghill, G. M., 1 Dec 2007, Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. Appolloni, B., Howlett, R. J. & Jain, L. (eds.). PART 2 ed. Springer , p. 18-25 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4693 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Incremental fault isolation for dynamic processes

    Coghill, G. M. & Wu, G., 1 Dec 2007, Research and Development in Intelligent Systems XXIII : Proceedings of AI 2006, the 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Coenen, F. (ed.). Springer , p. 333-345 13 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Fuzzy qualitative behaviour prioritisation

    Coghill, G. M., Jul 2007, Proceedings of the IEEE Conference on Fuzzy Systems (Fuzz-IEEE). Imperial College, London, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    1 Citation (Scopus)
  • Advanced experiments for learning qualitative compartment models

    Pang, W. & Coghill, G. M., 2007, Proceeding of the 21st International Workshop on Qualitative Reasoning. Aberystwyth, UK, p. 109-117 9 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems

    Pang, W. & Coghill, G. M., 2007, Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation. ACM Press, p. 2887-2894 8 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    12 Citations (Scopus)
  • 2006

    EQML- An Evolutionary Qualitative Model Learning Framework

    Pang, W. & Coghill, G. M., 2006, 2nd European Symposium on Nature-inspired Smart Information Systems. Puerto de la Cruz, Tenerife, Spain, p. 1-7 7 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
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  • Evolutionary approaches for learning qualitative compartment metabolic models

    Pang, W. & Coghill, G. M., 2006, Proceeding of the 6th annual UK Workshop on Computational Intelligence. Leeds, UK, p. 11-16 6 p.

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • 2004

    Learning qualitative metabolic models

    Coghill, G. M., Garrett, S. M. & King, R. D., Nov 2004, ECAI 2004: 16th European Conference on Artificial Intelligence, Proceedings. Lopez de Mantaras, R. & Saitta, L. (eds.). Amsterdam, Netherlands: IOS Press, p. 445-449 5 p. (Frontiers in Artificial Intelligence and Applications; vol. 110).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    9 Citations (Scopus)