Outputs (226)

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes (2015)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015, September). From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. Presented at 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon

Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring Expression Generation (REG) in virtual, controlled environments. In this p... Read More about From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes.

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation (2015)
Presentation / Conference Contribution
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015, September). A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. Presented at 15th European Workshop on Natural Language Generation (ENLG 2015), University of Brighton, Brighton, UK

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We will demo a game-based setup for exploring the effectiveness of different ap... Read More about A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation.

A Snapshot of NLG Evaluation Practices 2005 - 2014 (2015)
Presentation / Conference Contribution
Gkatzia, D., & Mahamood, S. (2015). A Snapshot of NLG Evaluation Practices 2005 - 2014. . https://doi.org/10.18653/v1/w15-4708

In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand the nature and type of evaluations that have been undertaken. We find that re... Read More about A Snapshot of NLG Evaluation Practices 2005 - 2014.

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments (2015)
Presentation / Conference Contribution
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015, September). Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. Presented at 15th European Workshop on Natural Language Generation (ENLG 2015), University of Brighton, Brighton, UK

Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to street names and generate user-centric instructions. In this paper, we cond... Read More about Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments.

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data (2014)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., & Lemon, O. (2014, June). Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. Presented at The 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore

We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selection as a multi-label (ML) classification problem, which takes as input ti... Read More about Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data.

Study on Improvement of the Performance Parameters of a Novel 0.41-0.47 THz On-Chip Antenna Based on Metasurface Concept Realized on 50um GaAs-Layer (2020)
Journal Article
Alibakhshikenari, M., Virdee, B. S., See, C. H., Shukla, P., Salekzamankhani, S., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2020). Study on Improvement of the Performance Parameters of a Novel 0.41-0.47 THz On-Chip Antenna Based on Metasurface Concept Realized on 50um GaAs-Layer. Scientific Reports, 10(1), Article 11034. https://doi.org/10.1038/s41598-020-68105-z

A feasibility study is presented on the performance parameters of a novel on-chip antenna based on metasurface technology at terahertz band. The proposed metasurface on-chip antenna is constructed on an electrically thin high-permittivity gallium ars... Read More about Study on Improvement of the Performance Parameters of a Novel 0.41-0.47 THz On-Chip Antenna Based on Metasurface Concept Realized on 50um GaAs-Layer.

Isolation Enhancement of Densely Packed Array Antennas with Periodic MTM-Photonic Bandgap for SAR and MIMO Systems (2019)
Journal Article
Alibakhshikenari, M., Virdee, B. S., Shukla, P., See, C. H., Abd-Alhameed, R., Falcone, F., Quazzane, K., & Limiti, E. (2020). Isolation Enhancement of Densely Packed Array Antennas with Periodic MTM-Photonic Bandgap for SAR and MIMO Systems. IET microwaves, antennas & propagation, 14(3), 183-188. https://doi.org/10.1049/iet-map.2019.0362

A metamaterial photonic bandgap (MTM-PBG) periodic structure is used as a decoupling frame to improve the isolation between transmit–receive (T/R) sections of densely packed array antenna in synthetic aperture radar (SAR) and multiple-input multiple-... Read More about Isolation Enhancement of Densely Packed Array Antennas with Periodic MTM-Photonic Bandgap for SAR and MIMO Systems.

High-Performance 50μm Silicon-Based On-Chip Antenna with High Port-To-Port Isolation Implemented by Metamaterial and SIW Concepts for THz Integrated Systems (2019)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B. S., See, C., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2019, September). High-Performance 50μm Silicon-Based On-Chip Antenna with High Port-To-Port Isolation Implemented by Metamaterial and SIW Concepts for THz Integrated Systems. Presented at 13th International Congress on Artificial Materials for Novel Wave Phenomena – Metamaterials, Rome, Italy

A novel 50μm Silicon-based on-chip antenna is presented that combines metamaterial (MTM) and substrate integrated waveguide (SIW) technologies for integration in THz circuits operating from 0.28 to 0.30 THz. The antenna structure comprises a square p... Read More about High-Performance 50μm Silicon-Based On-Chip Antenna with High Port-To-Port Isolation Implemented by Metamaterial and SIW Concepts for THz Integrated Systems.

Silicon-Based 0.450-0.475 THz Series-Fed Double Dielectric Resonator On-Chip Antenna Array Based on Metamaterial Properties for Integrated-Circuits (2019)
Presentation / Conference Contribution
Alibakhshikenari, M., Virdee, B. S., See, C., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2019, September). Silicon-Based 0.450-0.475 THz Series-Fed Double Dielectric Resonator On-Chip Antenna Array Based on Metamaterial Properties for Integrated-Circuits. Presented at 13th International Congress on Artificial Materials for Novel Wave Phenomena – Metamaterials, Rome, Italy

The antenna array designed to operate over 0.450-0.475 Terahertz comprises two dielectric resonators (DRs) that are stacked vertically on top of each other and placed on the surface of the slot antenna fabricated on a silicon substrate using standard... Read More about Silicon-Based 0.450-0.475 THz Series-Fed Double Dielectric Resonator On-Chip Antenna Array Based on Metamaterial Properties for Integrated-Circuits.

Antenna for Ultra-Wideband Applications with Non-Uniform Defected Ground Plane and Offset Aperture-Coupled Cylindrical Dielectric Resonators (2019)
Journal Article
Zebiri, C., Sayad, D., Elfergani, I., Kosha, J., Mshwat, W., See, C. H., Lashab, M., Rodriguez, J., Sayidmarie, K. H., Obeidat, H., & Abd-Alhameed, R. (2019). Antenna for Ultra-Wideband Applications with Non-Uniform Defected Ground Plane and Offset Aperture-Coupled Cylindrical Dielectric Resonators. IEEE Access, 7, 166776-166787. https://doi.org/10.1109/ACCESS.2019.2949527

A new compact Cylindrical Dielectric Resonator Antenna (CDRA) with a defected ground for ultra-wideband applications is presented. The structure is based on two cylindrical dielectric resonators asymmetrically located with respect to the center of an... Read More about Antenna for Ultra-Wideband Applications with Non-Uniform Defected Ground Plane and Offset Aperture-Coupled Cylindrical Dielectric Resonators.

The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World (2019)
Presentation / Conference Contribution
Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., Eiben, A. E., Angus, M., Veenstra, F., Li, W., Woolley, R., De Carlo, M., & Tyrrell, A. M. (2019, July). The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. Presented at Artificial Life, Newcastle, UK

The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the major challenges for such a vision is the need to construct many unique ind... Read More about The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World.

Evolving robust policies for community energy system management (2019)
Presentation / Conference Contribution
Cardoso, R., Hart, E., & Pitt, J. (2019, July). Evolving robust policies for community energy system management. Presented at GECCO '19, Prague, Czech Republic

Community energy systems (CESs) are shared energy systems in which multiple communities generate and consume energy from renewable resources. At regular time intervals, each participating community decides whether to self-supply, store, trade, or sel... Read More about Evolving robust policies for community energy system management.

On Constructing Ensembles for Combinatorial Optimisation (2017)
Journal Article
Hart, E., & Sim, K. (2018). On Constructing Ensembles for Combinatorial Optimisation. Evolutionary Computation, 26(1), 67-87. https://doi.org/10.1162/evco_a_00203

Although the use of ensemble methods in machine-learning is ubiquitous due to their proven ability to outperform their constituent algorithms, ensembles of optimisation algorithms have received relatively little attention. Existing approaches lag beh... Read More about On Constructing Ensembles for Combinatorial Optimisation.

Simulating Dynamic Vehicle Routing Problems with Athos (2019)
Presentation / Conference Contribution
Hoffman, B., Guckert, M., Chalmers, K., & Urquhart, N. (2019, June). Simulating Dynamic Vehicle Routing Problems with Athos. Presented at ECMS2019: 33rd INTERNATIONAL ECMS CONFERENCE ON MODELLING AND SIMULATION, Napoli, Italy

Complex routing problems, such as vehicle routing problems with additional constraints, are both hard to solve and hard to express in a form that is accessible to the human expert and at the same time processible by a computer system that is supposed... Read More about Simulating Dynamic Vehicle Routing Problems with Athos.

On the comparison of initialisation strategies in differential evolution for large scale optimisation (2017)
Journal Article
Segredo, E., Paechter, B., Segura, C., & González-Vila, C. I. (2018). On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optimization Letters, 12(1), 221-234. https://doi.org/10.1007/s11590-017-1107-z

Differential Evolution (DE) has shown to be a promising global opimisation solver for continuous problems, even for those with a large dimensionality. Different previous works have studied the effects that a population initialisation strategy has on... Read More about On the comparison of initialisation strategies in differential evolution for large scale optimisation.

Selection methods and diversity preservation in many-objective evolutionary algorithms (2018)
Journal Article
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2018). Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, https://doi.org/10.1108/dta-01-2018-0009

Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two main tasks simultaneously. First, it has to promote convergence by selecti... Read More about Selection methods and diversity preservation in many-objective evolutionary algorithms.

Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism (2018)
Presentation / Conference Contribution
Perret, C., Powers, S. T., Pitt, J., & Hart, E. (2018, July). Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. Presented at The 2018 Conference on Artificial Life, Tokyo, Japan

Hierarchy is an efficient way for a group to organize, but often goes along with inequality that benefits leaders. To control despotic behaviour, followers can assess leaders' decisions by aggregating their own and their neighbours' experience, and i... Read More about Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism.

A novel similarity-based mutant vector generation strategy for differential evolution (2018)
Presentation / Conference Contribution
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018, July). A novel similarity-based mutant vector generation strategy for differential evolution. Presented at The Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), Kyoto, Japan

The mutant vector generation strategy is an essential component of Differential Evolution (DE), introduced to promote diversity, resulting in exploration of novel areas of the search space. However, it is also responsible for promoting intensificatio... Read More about A novel similarity-based mutant vector generation strategy for differential evolution.

Explanation-based learning with analogy for impasse resolution (2016)
Journal Article
Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016). Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL’s domain theory. This enables the generation of control laws, v... Read More about Explanation-based learning with analogy for impasse resolution.

Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network (2014)
Journal Article
Hussain, S., Mokhtar, M., & Howe, J. M. (2015). Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network. IEEE Transactions on Industrial Electronics, 62(3), 1683-1692. https://doi.org/10.1109/tie.2014.2361600

Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor could destabilize the system, which could have serious consequences to the system's operations. Therefore, there is a need to detect and accommodate such... Read More about Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network.