All Outputs (3)

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.