Richard D. Newcomb

Orcid: 0000-0002-7307-9755

According to our database1, Richard D. Newcomb authored at least 8 papers between 2011 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2016
Improving odorant chemical class prediction with multi-layer perceptrons using temporal odorant spike responses from drosophila melanogaster olfactory receptor neurons.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Using Multilayer Perceptron Computation to Discover Ideal Insect Olfactory Receptor Combinations in the Mosquito and Fruit Fly for an Efficient Electronic Nose.
Neural Comput., 2015

2014
Artificial Neural Network prediction of specific VOCs and blended VOCs for various concentrations from the olfactory receptor firing rates of Drosophila melanogaster.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

"Super E-Noses": Multi-layer perceptron classification of volatile odorants from the firing rates of cross-species olfactory receptor arrays.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design.
Neural Comput., 2013

Application of artificial neural networks on mosquito Olfactory Receptor Neurons for an olfactory biosensor.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011
Predicting odorant chemical class from odorant descriptor values with an assembly of multi-layer perceptrons.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Using artificial neural networks to classify unknown volatile chemicals from the firings of insect olfactory sensory neurons.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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