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Research Output 2001 2020

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Article
2019
1 Citation (Scopus)
Open Access
File
protected area
naturalness
public spending
mental health
ecological impact
2018
8 Citations (Scopus)
8 Downloads (Pure)

Using social media to quantify spatial and temporal dynamics of nature-based recreational activities

Mancini, F., Coghill, G. M. & Lusseau, D., 16 Jul 2018, In : PloS ONE. 13, 7, e0200565.

Research output: Contribution to journalArticle

Open Access
File
Social Media
social networks
Recreation
recreation
Scotland
2017
4 Citations (Scopus)
12 Downloads (Pure)

Using qualitative models to define sustainable management for the commons in data poor conditions

Mancini, F., Coghill, G. M. & Lusseau, D., Jan 2017, In : Environmental Science & Policy. 67, p. 52-60 9 p.

Research output: Contribution to journalArticle

Open Access
File
management
sustainability
tourism
Tourism
maximum sustainable yield
2016
8 Downloads (Pure)
Open Access
File
social science
social scientist
social media
computer scientist
personal data
2015
2 Citations (Scopus)
4 Downloads (Pure)
Open Access
File
Simulated annealing
Learning
Systems Biology
Computational Biology
Research
7 Citations (Scopus)
6 Downloads (Pure)

An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems

Wu, Z., Pang, W. & Coghill, G. M., Sep 2015, In : Soft Computing. 19, 6, p. 1595-1610 16 p.

Research output: Contribution to journalArticle

Open Access
File
Bottom-up
Modeling
Model
Evolution Strategies
Computational Modeling

Applications and design of cooperative multi-agent ARN-based systems

Gerrard, C. E., McCall, J., Macleod, C. & Coghill, G. M., Jun 2015, In : Soft Computing. 19, 6, p. 1581-1594 14 p.

Research output: Contribution to journalArticle

Reaction Network
Robotics
Cell signaling
Oil spills
Biological systems
5 Citations (Scopus)
5 Downloads (Pure)

QML-AiNet: an immune network approach to learning qualitative differential equation models

Pang, W. & Coghill, G. M., Feb 2015, In : Applied Soft Computing. 27, p. 148-157 10 p.

Research output: Contribution to journalArticle

Open Access
File
Differential equations
Scalability
1 Citation (Scopus)
5 Downloads (Pure)

Qualitative, Semi-quantitative, and Quantitative Simulation of the Osmoregulation System in Yeast

Pang, W. & Coghill, G. M., May 2015, In : BioSystems. 131, p. 40-50 11 p.

Research output: Contribution to journalArticle

Open Access
File
Osmoregulation
Yeast
Yeasts
Biophysical Phenomena
Simulation
2014
3 Citations (Scopus)

Exploring aspects of cell intelligence with artificial reaction networks

Gerrard, C. E., McCall, J., Coghill, G. M. & Macleod, C., Oct 2014, In : Soft Computing. 18, 10, p. 1899-1912 14 p.

Research output: Contribution to journalArticle

Reaction Network
Pattern Recognition
Pattern recognition
Robotics
Cell
3 Citations (Scopus)
Differential equations
Differential equation
Scalability
Learning Strategies
Model
2012
55 Citations (Scopus)

Combinatorial stresses kill pathogenic Candida species

Kaloriti, D., Tillmann, A., Cook, E., Jacobsen, M., You, T., Lenardon, M., Ames, L., Barahona, M., Chandrasekaran, K., Coghill, G., Goodman, D., Gow, N. A. R., Grebogi, C., Ho, H-L., Ingram, P., McDonagh, A., de Moura, A. P. S., Pang, W., Puttnam, M., Radmaneshfar, E. & 10 others, Romano, M. C., Silk, D., Stark, J., Stumpf, M., Thiel, M., Thorne, T., Usher, J., Yin, Z., Haynes, K. & Brown, A. J. P., Oct 2012, In : Medical Mycology. 50, 7, p. 699-709 11 p.

Research output: Contribution to journalArticle

Candida glabrata
Candida albicans
Candida
Oxidative Stress
Growth
2011
8 Citations (Scopus)
5 Downloads (Pure)
Open Access
File
Chemical Kinetics
Reaction kinetics
Yeast
Open Reading Frames
Modeling and Simulation
7 Citations (Scopus)

An immune-inspired approach to qualitative system identification of biological pathways

Pang, W. & Coghill, G. M., Mar 2011, In : Natural Computing. 10, 1, p. 189-207 19 p.

Research output: Contribution to journalArticle

Identification (control systems)
Learning systems
Detoxification
Scalability
3 Citations (Scopus)

Fuzzy qualitative reasoning about dynamic systems containing trigonometric relations

Coghill, G. M., Liu, H., Bruce, A. & Wisley, C., Jun 2011, In : International Journal of Uncertainty, Fuzziness & Knowledge Based Systems. 19, 3, p. 477-498 22 p.

Research output: Contribution to journalArticle

Dynamical systems
Kinematics
Robots
2010
11 Citations (Scopus)

A quantitative model for mRNA translation in Sacchromyces cerevisiae

You, T., Coghill, G. M. & Brown, A. J. P., Oct 2010, In : Yeast. 27, 10, p. 785-800 6 p.

Research output: Contribution to journalArticle

Messenger RNA
Amino acids
Peptide Initiation Factors
Amino Acids
Availability
11 Citations (Scopus)

Learning Qualitative Differential Equation models: a survey of algorithms and applications

Pang, W. & Coghill, G. M., Mar 2010, In : Knowledge Engineering Review. 25, 1, p. 69-107 39 p.

Research output: Contribution to journalArticle

Differential equations
Learning systems
Artificial intelligence
Physics
2009

Fuzzy qualitative behaviour selection

Coghill, G. M., 2009, In : International Journal of Computational Intelligence Research. 4, 4, p. 342-356 14 p.

Research output: Contribution to journalArticle

17 Citations (Scopus)

Fuzzy qualitative trigonometry

Liu, H., Coghill, G. M. & Barnes, D. P., Dec 2009, In : International Journal of Approximate Reasoning. 51, 1, p. 71-88 18 p.

Research output: Contribution to journalArticle

Trigonometry
MATLAB
Fuzzy logic
Artificial intelligence
Kinematics
2 Citations (Scopus)

Incremental state based diagnosis

Coghill, G. M. & Wu, G., Jul 2009, In : Advanced Engineering Informatics. 23, 3, p. 309-322 14 p.

Research output: Contribution to journalArticle

Washers
Ammonia
Engines
2008
68 Citations (Scopus)

Fuzzy qualitative robot kinematics

Liu, H., Brown, D. J. & Coghill, G. M., Jun 2008, In : IEEE Transactions on Fuzzy Systems: a Publication of the IEEE Neural Networks Council. 16, 3, p. 808-822 15 p.

Research output: Contribution to journalArticle

17 Citations (Scopus)

Qualitative system identification from imperfect data

Coghill, G. M., Srinivasan, A. & King, R., Aug 2008, In : Journal of Artificial Intelligence Research. 32, p. 825-877 53 p.

Research output: Contribution to journalArticle

Identification (control systems)
Biological systems
Inductive logic programming (ILP)
Model structures
Parameter estimation
2007
10 Citations (Scopus)

Qualitative kinematics of planar robots: Intelligent connection

Liu, H., Coghill, G. M. & Brown, D. J., Dec 2007, In : International Journal of Approximate Reasoning. 46, 3, p. 525-541 17 p.

Research output: Contribution to journalArticle

2006
17 Citations (Scopus)

Qualitative futures

Price, C. J., Trave-Massuyes, L., Milne, R., Ironi, L., Forbus, K., Bredeweg, B., Lee, M. H., Struss, P., Snooke, N., Lucas, P., Cavazza, M. & Coghill, G. M., 2006, In : Knowledge Engineering Review. 21, 4, p. 317-334 18 p.

Research output: Contribution to journalArticle

2005
45 Citations (Scopus)

A model-based approach to robot fault diagnosis

Liu, H. H. & Coghill, G. M., Aug 2005, In : Knowledge-Based Systems. 18, 4-5, p. 225-233 9 p.

Research output: Contribution to journalArticle

Failure analysis
Robots
Engines
End effectors
Diagnostics
44 Citations (Scopus)

On the use of qualitative reasoning to simulate and identify metabolic pathways

King, R. D., Garrett, S. M. & Coghill, G. M., Jan 2005, In : Bioinformatics. 21, p. 2017-2026 9 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Qualitative modelling of kinematic robots for fault diagnosis

Liu, H., Coghill, G. M. & Xu, H. Y., 2005, In : International Journal of Production Research. 43, 11, p. 2277-2290 14 p.

Research output: Contribution to journalArticle

2004

Towards model-based methods for model-based systems

Coghill, G. M., 2004, In : International Journal of General Systems. 33, p. 485-504 19 p.

Research output: Contribution to journalArticle

2001
4 Citations (Scopus)

On the specification of multiple models for diagnosis of dynamic systems

Coghill, G. M. & Shen, Q., Jan 2001, In : AI Communications. 14, 2, p. 93-104 11 p.

Research output: Contribution to journalArticle