All Outputs (71)

Federated Learning for Short-term Residential Load Forecasting (2022)
Journal Article
Briggs, C., Fan, Z., & Andras, P. (2022). Federated Learning for Short-term Residential Load Forecasting. IEEE Open Access Journal of Power and Energy, 9, 573-583. https://doi.org/10.1109/oajpe.2022.3206220

Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart meters wi... Read More about Federated Learning for Short-term Residential Load Forecasting.

Where do successful populations originate from? (2021)
Journal Article
Andras, P., & Stanton, A. (2021). Where do successful populations originate from?. Journal of Theoretical Biology, 524, Article 110734. https://doi.org/10.1016/j.jtbi.2021.110734

In order to understand the dynamics of emergence and spreading of socio-technical innovations and population moves it is important to determine the place of origin of these populations. Here we focus on the role of geographical factors, such as land... Read More about Where do successful populations originate from?.

Scalability analysis comparisons of cloud-based software services (2019)
Journal Article
Ahmad, A. A., & Andras, P. (2019). Scalability analysis comparisons of cloud-based software services. Journal of cloud computing: advances, systems and applications, 8, Article 10. https://doi.org/10.1186/s13677-019-0134-y

Performance and scalability testing and measurements of cloud-based software services are necessary for future optimizations and growth of cloud computing. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software servi... Read More about Scalability analysis comparisons of cloud-based software services.

Cloud-based software services delivery from the perspective of scalability (2019)
Journal Article
Al-Said Ahmad, A., & Andras, P. (2021). Cloud-based software services delivery from the perspective of scalability. International Journal of Parallel, Emergent and Distributed Systems, 36(2), 53-68. https://doi.org/10.1080/17445760.2019.1617864

Measuring and testing the scalability and performance of cloud-based software services is critical for the delivery of such services, and the development of cloud computing. There are three interconnected Cloud-based software services’ performance as... Read More about Cloud-based software services delivery from the perspective of scalability.

The use of bibliography enriched features for automatic citation screening (2019)
Journal Article
Olorisade, B. K., Brereton, P., & Andras, P. (2019). The use of bibliography enriched features for automatic citation screening. Journal of Biomedical Informatics, 94, Article 103202. https://doi.org/10.1016/j.jbi.2019.103202

Context Citation screening (also called study selection) is a phase of systematic review process that has attracted a growing interest on the use of text mining (TM) methods to support it to reduce time and effort. Search results are usually imbalan... Read More about The use of bibliography enriched features for automatic citation screening.

User perception of Bitcoin usability and security across novice users (2019)
Journal Article
Alshamsi, A., & Andras, P. (2019). User perception of Bitcoin usability and security across novice users. International Journal of Human-Computer Studies, 126, 94-110. https://doi.org/10.1016/j.ijhcs.2019.02.004

This paper investigates users’ perceptions and experiences of an anonymous digital payment system (Bitcoin) and its influence on users in terms of usability and security in comparison to other non-anonymous payment systems such as credit/debit cards.... Read More about User perception of Bitcoin usability and security across novice users.

Social learning and cultural evolution in artificial life (2018)
Journal Article
Marriott, C., Borg, J. M., Andras, P., & Smaldino, P. E. (2018). Social learning and cultural evolution in artificial life. Artificial Life, 24(1), 5-9. https://doi.org/10.1162/ARTL_a_00250

We describe the questions and discussions raised at the First Workshop on Social Learning and Cultural Evolution held at theArtificial Life Conference 2016 in Cancún, Mexico in July 2016. The purpose of the workshop was to assemble artificial life re... Read More about Social learning and cultural evolution in artificial life.

Social learning in repeated cooperation games in uncertain environments (2018)
Journal Article
Andras, P. (2018). Social learning in repeated cooperation games in uncertain environments. Cognitive Systems Research, 51, 24-39. https://doi.org/10.1016/j.cogsys.2018.04.013

Cooperation and social learning are fundamental mechanisms that maintain social organisation among animals and humans. Social institutions can be conceptualised abstractly as cooperation games with social learning. In some cases potential cooperation... Read More about Social learning in repeated cooperation games in uncertain environments.

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

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.

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.

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.

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.or

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.

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., …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. htt

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.

Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients (2015)
Journal Article
Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P., & Walker, R. W. (2016). Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients. Telemedicine and e-Health, 22(1), 63-69. https://doi.org/10.1089/tmj.2015.0026

Background:Remote monitoring of symptoms in Parkinson's disease (PD) using body-worn sensors would assist treatment decisions and evaluation of new treatments. To date, a rigorous, systematic evaluation of the acceptability of body-worn sensors in PD... Read More about Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients.

Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging (2014)
Journal Article
Bai, D., Benniston, A. C., Clift, S., Baisch, U., Steyn, J., Everitt, N., & Andras, P. (2014). Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging. Journal of Molecular Structure, 1065-1066, 10-15. https:

The neutral low molecular weight julolidine-based borondipyrromethene (Bodipy) dyads JULBD and MJULBD were used for fast voltage-sensitive dye imaging of neurons in the crab stomatogastric ganglion. The fluorescence modulation of the dyads mirrors al... Read More about Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging.

Function approximation using combined unsupervised and supervised learning (2013)
Journal Article
Andras, P. (2014). Function approximation using combined unsupervised and supervised learning. IEEE Transactions on Neural Networks and Learning Systems, 25(3), 495-505. https://doi.org/10.1109/TNNLS.2013.2276044

Function approximation is one of the core tasks that are solved using neural networks in the context of many engineering problems. However, good approximation results need good sampling of the data space, which usually requires exponentially increasi... Read More about Function approximation using combined unsupervised and supervised learning.

Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance (2012)
Journal Article
Andras, P., & Andras, A. (2013). Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance. https://doi.org/10.1016/j.mehy.2012.11.023

Type 2 diabetes is a serious disease that is affecting an increasing part of the population in most countries. A new hypothesis is presented in this paper about the underlying causes and mechanisms that lead to the development of this disease. It is... Read More about Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance.

A Bayesian interpretation of the particle swarm optimization and its kernel extension (2012)
Journal Article
Andras, P. (2012). A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLOS ONE, 7(11), Article e48710. https://doi.org/10.1371/journal.pone.0048710

Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g. bare bones particle swarm) with the aim to achieve more ge... Read More about A Bayesian interpretation of the particle swarm optimization and its kernel extension.

Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging (2011)
Journal Article
Städele, C., Andras, P., & Stein, W. (2012). Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging. Journal of Neuroscience Methods, 203(1), 78-88. https://doi.org/10.1016/j.jneu

Optical imaging using voltage-sensitive dyes (VSDs) is a promising technique for the simultaneous activity recording of many individual neurons. While such simultaneous recordings are critical for the understanding of the integral functionality of ne... Read More about Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging.