Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data
Conference Proceeding
Gkatzia, D., Hastie, H., & Lemon, O. (2014)
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers. , (1231-1240). https://doi.org/10.3115/v1/p14-1116
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 selec...
On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system.
Conference Proceeding
Hart, E., & Sim, K. (2014)
On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system. In Proceedings of PPSN, 13th International Conference on Parallel problem Solving from Nature, (282-291). https://doi.org/10.1007/978-3-319-10762-2_28
Real-world applications of optimisation techniques place more importance on finding approaches that result in acceptable quality solutions in a short time-frame and can provid...
Determining content for unknown users: lessons from the MinkApp case study.
Conference Proceeding
Webster, G., Sripada, S. G., Mellish, C., Melero, Y., Arts, K., Lambin, X., & Wal, R. V. D. (2014)
Determining content for unknown users: lessons from the MinkApp case study. In INLG 2014
If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the us-ers of a system are or what kind of in-formation will int...
Idiotypic networks for evolutionary controllers in virtual creatures.
Conference Proceeding
Capodieci, N., Hart, E., & Cabri, G. (2014)
Idiotypic networks for evolutionary controllers in virtual creatures. In H. Sayama, J. Rieffel, S. Risi, R. Doursat, & H. Lipson (Eds.), Artificial Life 14: Proceedings of ALife, 14th International Conference on the Synthesis and Simulation of Living Systems, (192-199). https://doi.org/10.7551/978-0-262-32621-6-ch032
We propose a novel method for evolving adaptive locomotive strategies for virtual limbless creatures that addresses both functional and non-functional requirements, respective...
Employing Neural Networks for the Detection of SQL Injection Attack
Conference Proceeding
Sheykhkanloo, N. M. (2013)
Employing Neural Networks for the Detection of SQL Injection Attack. In SIN '14 Proceedings of the 7th International Conference on Security of Information and Networksdoi:10.1145/2659651.2659675
Structured Query Language Injection (SQLI) attack is a code injection technique in which malicious SQL statements are inserted into the SQL database by simply using web browse...
Argument Mining: Was Ist Das?
Conference Proceeding
Wells, S. (2014)
Argument Mining: Was Ist Das?
Argument Mining has become an increasingly popular term over the last
few years but it is unclear to what exactly the term refers. It definitely refers to an
area of endeavour...
Artificial Immune System driven evolution in Swarm Chemistry.
Conference Proceeding
Capodieci, N., Hart, E., & Cabri, G. (2014)
Artificial Immune System driven evolution in Swarm Chemistry. In Proceedings of IEEE SASO 2014, (40-49). https://doi.org/10.1109/SASO.2014.16
Morphogenetic engineering represents an interesting field in which models, frameworks and algorithms can be tested in order to study how self-* properties and emergent behavio...
A real-world employee scheduling and routing application.
Conference Proceeding
Hart, E., Sim, K., & Urquhart, N. B. (2014)
A real-world employee scheduling and routing application. In C. Igel (Ed.), GECCO 2014 Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (1239-1242). https://doi.org/10.1145/2598394.2605447
We describe a hyper-heuristic application developed for a client to find quick, acceptable solutions to Workforce Schedul- ing and Routing problems. An interactive fitness fun...
An improved immune inspired hyper-heuristic for combinatorial optimisation problems.
Conference Proceeding
Sim, K., & Hart, E. (2014)
An improved immune inspired hyper-heuristic for combinatorial optimisation problems. In C. Igel (Ed.), Proceedings of GECCO 2014 (Genetic and Evolutionary Computation Conference) (121-128). https://doi.org/10.1145/2576768.2598241
The meta-dynamics of an immune-inspired optimisation sys- tem NELLI are considered. NELLI has previously shown to exhibit good performance when applied to a large set of optim...
TARGO: transition and reallocation based green optimization for Cloud VMs.
Conference Proceeding
Fang, D., Liu, X., Liu, L., & Yang, H. (2013)
TARGO: transition and reallocation based green optimization for Cloud VMs. In Proceedings of the IEEE International Conference on Green Computing and Communications 2013, 215-223. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.56
Much research has been conducted focusing on improving resource utilization efficiency in data centers in the context of Green Cloud Computing (GCC). While virtualization enab...