All Outputs (161)

A robust data-driven approach to the decoding of pyloric neuron activity (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., Collins, D., & Lam, K. (2017). A robust data-driven approach to the decoding of pyloric neuron activity. In 2017 IEEE International Workshop on Signal Processing Systems (SiPS). https://doi.org/10.1109/SiPS.2017.8110017

The combination of intra and extra-cellular recording of small neuronal circuits such as stomatogastric nervous systems of the crab (Cancer borealis) is well documented and routinely practised. Voltage sensitive dye imaging (VSDi) is a promising tech... Read More about A robust data-driven approach to the decoding of pyloric neuron activity.

Towards an Accurate Identification of Pyloric Neuron Activity with VSDi (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. (2017). Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. In Artificial Neural Networks and Machine Learning – ICANN 2017 (121-128). https://doi.org/10.1007/978-3-319-68600-4_15

Voltage-sensitive dye imaging (VSDi) which enables simultaneous optical recording of many neurons in the pyloric circuit of the stomatogastric ganglion is an important technique to supplement electrophysiological recordings. However, utilising the te... Read More about Towards an Accurate Identification of Pyloric Neuron Activity with VSDi.

A multiresolution approach to the extraction of the pyloric rhythm (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. (2017, July). A multiresolution approach to the extraction of the pyloric rhythm. Presented at 2017 40th International Conference on Telecommunications and Signal Processing (TSP), Barcelona, Spain

This paper describes our work toward the development of a computationally robust methodology to identify the pyloric neurons in the stomatogastric ganglion of Cancer pagurus using voltage-sensitive dye imaging. The multi-resolution signal decompositi... Read More about A multiresolution approach to the extraction of the pyloric rhythm.

Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes (2017)
Journal Article
Sirbu, D., Butcher, J. B., Waddell, P. G., Andras, P., & Benniston, A. C. (2017). Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes. Chemistry - A European Journal, 23(58), 14639-14649. https://doi.org/10.1002/chem.201703366

A selection of NIR-optically responsive neuron probes was produced comprising of a donor julolidyl group connected to a BODIPY core and several different styryl and vinylpyridinyl derived acceptor moieties. The strength of the donor–acceptor interact... Read More about Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes.

Open-ended evolution in cellular automata worlds (2017)
Presentation / Conference Contribution
Andras, P. (2017). Open-ended evolution in cellular automata worlds. In ECAL 2017, the Fourteenth European Conference on Artificial Life (438-445). https://doi.org/10.1162/isal_a_073

Open-ended evolution is a fundamental issue in artificial life research. We consider biological and social systems as a flux of interacting components that transiently participate in interactions with other system components as part of these systems.... Read More about Open-ended evolution in cellular automata worlds.

A systematic mapping study of empirical studies on software cloud testing methods (2017)
Presentation / Conference Contribution
Ahmad, A. A., Brereton, P., & Andras, P. (2017, July). A systematic mapping study of empirical studies on software cloud testing methods. Presented at 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), Prague, Czech Republic

Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become ess... Read More about A systematic mapping study of empirical studies on software cloud testing methods.

Using supervised machine learning algorithms to detect suspicious URLs in online social networks (2017)
Presentation / Conference Contribution
Al-Janabi, M., Quincey, E. D., & Andras, P. (2017, July). Using supervised machine learning algorithms to detect suspicious URLs in online social networks. Presented at 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia

The increasing volume of malicious content in social networks requires automated methods to detect and eliminate such content. This paper describes a supervised machine learning classification model that has been built to detect the distribution of m... Read More about Using supervised machine learning algorithms to detect suspicious URLs in online social networks.

A systematic analysis of random forest based social media spam classification (2017)
Presentation / Conference Contribution
Al-Janabi, M., & Andras, P. (2017, August). A systematic analysis of random forest based social media spam classification. Presented at NSS: International Conference on Network and System Security, Helsinki, Finland

Recently random forest classification became a popular choice machine learning applications aimed to detect spam content in online social networks. In this paper, we report a systematic analysis of random forest classification for this purpose. We as... Read More about A systematic analysis of random forest based social media spam classification.

Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist (2017)
Journal Article
Olorisade, B. K., Brereton, P., & Andras, P. (2017). Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist. Journal of Biomedical Informatics, 73, 1-13. https://doi.org/10.1016/j.jbi.2017.07.010

Context Independent validation of published scientific results through study replication is a pre-condition for accepting the validity of such results. In computation research, full replication is often unrealistic for independent results validation... Read More about Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist.

Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies (2017)
Presentation / Conference Contribution
Olorisade, B. K., Brereton, P., & Andras, P. (2017, June). Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. Presented at EASE'17: 21st International Conference on Evaluation and Assessment in Software Engineering, Karlskrona, Sweden

Background:: Statistical validity and model complexity are both important concepts to enhanced understanding and correctness assessment of computational models. However, information about these are often missing from publications applying machine lea... Read More about Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies.

High-dimensional function approximation with neural networks for large volumes of data (2017)
Journal Article
Andras, P. (2018). High-dimensional function approximation with neural networks for large volumes of data. IEEE Transactions on Neural Networks and Learning Systems, 29(2), 500-508. https://doi.org/10.1109/TNNLS.2017.2651985

Approximation of high-dimensional functions is a challenge for neural networks due to the curse of dimensionality. Often the data for which the approximated function is defined resides on a low-dimensional manifold and in principle the approximation... Read More about High-dimensional function approximation with neural networks for large volumes of data.

The Infiniteness of Open Ended Evolution (2016)
Presentation / Conference Contribution
Andras, P. (2016). The Infiniteness of Open Ended Evolution. In OEE2: The Second Workshop on Open-Ended Evolution

Biological and social systems are considered as a flux of interacting components that transiently participate in interactions with other system components as part of the system. This suggests that any simulated system undergoing open ended evolution... Read More about The Infiniteness of Open Ended Evolution.

Modelling the restoration of activity in a biological neural network (2016)
Presentation / Conference Contribution
Dos Santos, F., Steyn, J. S., & Andras, P. (2016). Modelling the restoration of activity in a biological neural network. In 2016 International Joint Conference on Neural Networks (IJCNN) (4672-4679). https://doi.org/10.1109/IJCNN.2016.7727813

Understanding the mechanisms of restoration of activity in biological neural systems following exposure to damage is key for design of future neuro-prosthetic devices and restorative treatments. The pyloric rhythm network within the crustacean stomat... Read More about Modelling the restoration of activity in a biological neural network.

Analysis of the dynamics of temporal relationships of neural activities using optical imaging data (2016)
Journal Article
Steyn, J. S., & Andras, P. (2017). Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. Journal of Computational Neuroscience, 42, 107-121. https://doi.org/10.1007/s10827-016-0630-8

The temporal relationship between the activities of neurons in biological neural systems is critically important for the correct delivery of the functionality of these systems. Fine measurement of temporal relationships of neural activities using mic... Read More about Analysis of the dynamics of temporal relationships of neural activities using optical imaging data.

Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers (2016)
Journal Article
Fisher, J. M., Hammerla, N. Y., Ploetz, T., Andras, P., Rochester, L., & Walker, R. W. (2016). Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers. Parkinsonism and Related Disorders, 33, 44-50. https://doi.org/10.1016/j.parkreldis.2016.09.009

Introduction Current PD assessment methods have inherent limitations. There is need for an objective method to assist clinical decisions and to facilitate evaluation of treatments. Accelerometers, and analysis using artificial neural networks (ANN),... Read More about Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers.

25th annual computational neuroscience meeting: CNS-2016 (2016)
Presentation / Conference Contribution
Sharpee, T. O., Destexhe, A., Kawato, M., Sekulić, V., Skinner, F. K., Wόjcik, D. K., Chintaluri, C., Cserpán, D., Somogyvári, Z., Kim, J. K., & others. 25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variab... Read More about 25th annual computational neuroscience meeting: CNS-2016.

Optogenetics in silicon: A neural processor for predicting optically active neural networks (2016)
Journal Article
Luo, J., Nikolic, K., Evans, B. D., Dong, N., Sun, X., Andras, P., Yakovlev, A., & Degenaar, P. (2017). Optogenetics in silicon: A neural processor for predicting optically active neural networks. IEEE Transactions on Biomedical Circuits and Systems, 11(1), 15-27. https://doi.org/10.1109/TBCAS.2016.2571339

We present a reconfigurable neural processor for real-time simulation and prediction of opto-neural behaviour. We combined a detailed Hodgkin-Huxley CA3 neuron integrated with a four-state Channelrhodopsin-2 (ChR2) model into reconfigurable silicon h... Read More about Optogenetics in silicon: A neural processor for predicting optically active neural networks.

The trade-off between usability and security in the context of eGovernment: a mapping study (2016)
Presentation / Conference Contribution
Alshamsi, A., Williams, N., & Andras, P. (2016, July). The trade-off between usability and security in the context of eGovernment: a mapping study. Presented at HCI '16: 30th International BCS Human Computer Interaction Conference: Fusion!, Poole

Most governments implement the latest information communication technology (ICT) to improve the online experience of their citizens and businesses. Governments put great effort into providing user-focused services that are usable, secure and accessib... Read More about The trade-off between usability and security in the context of eGovernment: a mapping study.

Social learning, environmental adversity and the evolution of cooperation (2016)
Presentation / Conference Contribution
Andras, P. (2016). Social learning, environmental adversity and the evolution of cooperation. In Artificial Life Conference Proceedings 13 (290-297). https://doi.org/10.1162/978-0-262-33936-0-ch051

Social learning plays a key role in the evolution of cooperation in humans and other animals. It has also been shown both theoretically and experimentally that environmental adversity is also a key determinant of the evolution of cooperation among in... Read More about Social learning, environmental adversity and the evolution of cooperation.

A critical analysis of studies that address the use of text mining for citation screening in systematic reviews (2016)
Presentation / Conference Contribution
Olorisade, B. K., de Quincey, E., Brereton, P., & Andras, P. (2016, June). A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. Presented at EASE '16: 20th International Conference on Evaluation and Assessment in Software Engineering, Limerick, Ireland

Background: Since the introduction of the systematic review process to Software Engineering in 2004, researchers have investigated a number of ways to mitigate the amount of effort and time taken to filter through large volumes of literature. Aim:... Read More about A critical analysis of studies that address the use of text mining for citation screening in systematic reviews.