Dr GRAZZIELA FIGUEREDO's Outputs (63)

A Systemic Dynamics Model of Text Production (2019)
Journal Article
Figueredo, G., & Figueredo, G. P. (2020). A Systemic Dynamics Model of Text Production. Journal of Quantitative Linguistics, 27(4), 291-320. https://doi.org/10.1080/09296174.2019.1567301

This paper introduces a quantitative model of text as it unfolds in time. The model conceptualizes text as a functional unit of language. This organization can be difficult to identify because it forms complex patterns of linguistic laws, probability... Read More about A Systemic Dynamics Model of Text Production.

Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management (2018)
Presentation / Conference Contribution
Faboya, O., Figueredo, G. P., Ryan, B., & Siebers, P.-O. (2018, November). Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. Presented at The 21st IEEE International Conference on Intelligent Transportation Systems, Maui, Hawaii, USA

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and... Read More about Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management.

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom (2018)
Journal Article
Figueredo, G. P., Agrawal, U., Mase, J., Mesgarpour, M., Wagner, C., Soria, D., Garibaldi, J. M., Siebers, P.-O., & John, R. (2019). Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3324-3336. https://doi.org/10.1109/TITS.2018.2875343

Although driving behaviour has been largely studied amongst private motor vehicles drivers, the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the existing groups of driving stereotypes and their proportions enables re... Read More about Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

Deep learning approaches to aircraft maintenance, repair and overhaul: a review (2018)
Presentation / Conference Contribution
Rengasami, D., Morvan, H., & Patrocinio Figueredo, G. (2018, November). Deep learning approaches to aircraft maintenance, repair and overhaul: a review. Presented at IEEE International Conference on Intelligent Transportation Systems

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maint... Read More about Deep learning approaches to aircraft maintenance, repair and overhaul: a review.

How do travellers decide: a stochastic modelling approach to determine decision factor significance (2018)
Presentation / Conference Contribution
Olusola, F. T., Siebers, O., Ryan, B., & Figueredo, G. P. (2018, September). How do travellers decide: a stochastic modelling approach to determine decision factor significance. Presented at European Modeling and Simulation Symposium 2018 (EMSS2018), Budapest, Hungary

Many factors are involved in travellers' mode choice decision processes. Such factors include individuals' physical, cognitive, and emotional abilities, which play a significant role in travellers' attitude and mode usage patterns. Understanding how... Read More about How do travellers decide: a stochastic modelling approach to determine decision factor significance.

A genetic algorithm with composite chromosome for shift assignment of part-time employees (2018)
Presentation / Conference Contribution
Xue, N., Landa-Silva, D., Triguero, I., & Figueredo, G. P. A genetic algorithm with composite chromosome for shift assignment of part-time employees. Presented at 2018 IEEE Congress in Evolutionary Computation (IEEE CEC 2018)

Personnel scheduling problems involve multiple tasks, including assigning shifts to workers. The purpose is usually to satisfy objectives and constraints arising from management, labour unions and employee preferences. The shift assignment problem is... Read More about A genetic algorithm with composite chromosome for shift assignment of part-time employees.

A Novel Modal Shift Modelling Framework for Transport Systems (2017)
Presentation / Conference Contribution
Faboya, O. T., Siebers, P.-O., Ryan, B., & Figueredo, G. P. (2017, September). A Novel Modal Shift Modelling Framework for Transport Systems. Paper presented at Social Simulation Conference 2017 (SSC2017), Dublin, Ireland

The challenges from transport modes on human environments, health and economy, have called for investigations into how behavioural changes can be achieved for better resource utilisation. Trip makers' travel demands have been identified, and they inc... Read More about A Novel Modal Shift Modelling Framework for Transport Systems.

Vehicle incident hot spots identification: An approach for big data (2017)
Presentation / Conference Contribution
Triguero, I., Figueredo, G. P., Mesgarpour, M., Garibaldi, J. M., & John, R. (2017, August). Vehicle incident hot spots identification: An approach for big data. Presented at 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, NSW, Australia

In this work we introduce a fast big data approach for road incident hot spot identification using Apache Spark. We implement an existing immuno-inspired mechanism, namely SeleSup, as a series of MapReduce-like operations. SeleSup is composed of a nu... Read More about Vehicle incident hot spots identification: An approach for big data.

An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots (2017)
Journal Article
Figueredo, G. P., Triguero, I., Mesgarpour, M., Maciel Guerra, A., Garibaldi, J. M., & John, R. (2017). An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(4), 248-258. https://doi.org/10.1109/TETCI.2017.2721960

We report on the adaptation of an immune-inspired instance selection technique to solve a real-world big data problem of determining vehicle incident hot spots. The technique, which is inspired by the Immune System self-regulation mechanism, was orig... Read More about An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots.

A signalome screening approach in the autoinflammatory disease TNF receptor associated periodic syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for repurposing (2017)
Journal Article
Figueredo, G., Todd, I., Negm, O. H., Reps, J., Radford, P., Figueredo, G. P., McDermott, E. M., Drewe, E., Powell, R. J., Bainbridge, S., Hamed, M., Crouch, S., Garibaldi, J., St-Gallay, S., Fairclough, L. C., & Tighe, P. J. (2017). A signalome screening approach in the autoinflammatory disease TNF receptor associated periodic syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for repurposing. Pharmacological Research, 125, 188-200. https://doi.org/10.1016/j.phrs.2017.08.012

© 2017 Elsevier Ltd TNF receptor associated periodic syndrome (TRAPS) is an autoinflammatory disease caused by mutations in TNF Receptor 1 (TNFR1). Current therapies for TRAPS are limited and do not target the pro-inflammatory signalling pathways tha... Read More about A signalome screening approach in the autoinflammatory disease TNF receptor associated periodic syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for repurposing.

Developing agent-based simulation models for social systems engineering studies: A novel framework and its application to modelling peacebuilding activities (2016)
Book Chapter
Siebers, P.-O., Figueredo, G. P., Hirono, M., & Skatova, A. (2016). Developing agent-based simulation models for social systems engineering studies: A novel framework and its application to modelling peacebuilding activities. In C. Garcia-Diaz, & C. Olaya (Eds.), Social systems engineering: the design of complexity (133-156). Wiley. https://doi.org/10.1002/9781118974414.ch7

© 2018 John Wiley & Sons Ltd. When looking for a ‘what-if’ analysis tool to support social systems engineering studies, agent-based modelling and simulation should be the method of choice. It is a well-established method for studying human-centric... Read More about Developing agent-based simulation models for social systems engineering studies: A novel framework and its application to modelling peacebuilding activities.

Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework (2015)
Presentation / Conference Contribution
Figueredo, G. P., Wagner, C., Garibaldi, J. M., & Aickelin, U. (2015, August). Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. Presented at Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, Helsinki, Finland

In this position paper, we present ideas about creating a next generation framework towards an adaptive interface for data communication and visualisation systems. Our objective is to develop a system that accepts large data sets as inputs and provid... Read More about Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework.

A data analysis framework to rank HGV drivers (2015)
Presentation / Conference Contribution
Figueredo, G. P., Quinlan, P., Mesgarpour, M., Garibaldi, J. M., & John, R. A data analysis framework to rank HGV drivers. Presented at 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC 2015)

We report on the details of the methodology applied to support shortlisting the nominees for the Microlise Driver of the Year awards. The aim was to recognise the United Kingdom’s most talented heavy goods vehicle (HGV) drivers, with the list of top... Read More about A data analysis framework to rank HGV drivers.

Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence (2015)
Journal Article
Figueredo, G. P., Siebers, P.-O., Aickelin, U., Whitbrook, A., & Garibaldi, J. M. (2015). Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence. PLoS ONE, 10(3), Article e0118359. https://doi.org/10.1371/journal.pone.0118359

Advances in healthcare and in the quality of life significantly increase human life expectancy. With the aging of populations, new un-faced challenges are brought to science. The human body is naturally selected to be well-functioning until the age o... Read More about Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence.

Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer (2014)
Journal Article
Figueredo, G. P., Siebers, P.-O., Owen, M. R., Reps, J., & Aickelin, U. (2014). Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer. PLoS ONE, 9(4), Article e95150. https://doi.org/10.1371/journal.pone.0095150

There is great potential to be explored regarding the use of agent-based modelling and simulation as an alternative paradigm to investigate early-stage cancer interactions with the immune system. It does not suffer from some limitations of ordinary d... Read More about Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer.

Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective (2013)
Journal Article
Figueredo, G. P., Siebers, P.-O., & Aickelin, U. (2013). Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. BMC Bioinformatics, 14(Spl. 6), Article S6. https://doi.org/10.1186/1471-2105-14-S6-S6

Many advances in research regarding immuno-interactions with cancer were developed with the help of ordinary differential equation (ODE) models. These models, however, are not effectively capable of representing problems involving individual localisa... Read More about Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective.

A beginner's guide to systems simulation in immunology (2012)
Book Chapter
Figueredo, G. P., Siebers, P.-O., Aickelin, U., & Foan, S. (2012). A beginner's guide to systems simulation in immunology. In C. A. Coello Coello, J. Greensmith, N. Krasnogor, P. Liò, G. Nicosia, & M. Pavone (Eds.), Artificial immune systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012: proceedings. Springer

Some common systems modelling and simulation approaches for immune problems are Monte Carlo simulations, system dynamics, discrete-event simulation and agent-based simulation. These methods, however, are still not widely adopted in immunology researc... Read More about A beginner's guide to systems simulation in immunology.

Comparing System Dynamics and Agent-Based Simulation for tumour growth and its interactions with effector cells (2011)
Presentation / Conference Contribution
Figueredo, G. P., & Aickelin, U. Comparing System Dynamics and Agent-Based Simulation for tumour growth and its interactions with effector cells. Presented at Summer Computer Simulation Conference (SCSC 2011)

There is little research concerning comparisons and combination of System Dynamics Simulation (SDS) and Agent Based Simulation (ABS). ABS is a paradigm used in many levels of abstraction, including those levels covered by SDS. We believe that the est... Read More about Comparing System Dynamics and Agent-Based Simulation for tumour growth and its interactions with effector cells.

Systems dynamics or agent-based modelling for immune simulation? (2011)
Book Chapter
Figueredo, G. P., Aickelin, U., & Siebers, P.-O. (2011). Systems dynamics or agent-based modelling for immune simulation?. In P. Liò, G. Nicosia, & T. Stibor (Eds.), Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Springer

In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guidance on how to choose the best approach for a specific immune problem.... Read More about Systems dynamics or agent-based modelling for immune simulation?.

Defining a simulation strategy for cancer immunocompetence (2010)
Book Chapter
Figueredo, G. P., & Aickelin, U. (2010). Defining a simulation strategy for cancer immunocompetence. In E. Hart, C. McEwan, J. Timmis, & A. Hone (Eds.), Artificial immune systems: 9th international conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010: proceedings. Springer

Although there are various types of cancer treatments, none of these currently take into account the e®ect of ageing of the immune system and hence altered responses to cancer. Recent studies have shown that in vitro stimulation of T cells can help i... Read More about Defining a simulation strategy for cancer immunocompetence.