Publikation: Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers
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In the present study, we investigate the differences in brain signals of craving smokers, non-craving smokers, and non-smokers. To this end, we use data from resting-state EEG measurements to train predictive models to distinguish these three groups. We compare the results obtained from three simple models – majority class prediction, random guessing, and naive Bayes – as well as two neural network approaches. The first of these approaches uses a channel-wise model with dense layers, the second one uses cross-channel convolution. We therefore generate a benchmark on the given data set and show that there is a significant difference in the EEG signals of smokers and non-smokers.
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DOELL, Christoph, Sarah DONOHUE, Cedrik PÄTZ, Christian BORGELT, 2018. Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers. 17th International Symposium, IDA 2018. ’s-Hertogenbosch, The Netherlands, 24. Okt. 2018 - 26. Okt. 2018. In: DUIVESTEIJN, Wouter, ed., Arno SIEBES, ed., Antti UKKONEN, ed.. Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings. Cham: Springer, 2018, pp. 75-86. Lecture Notes in Computer Science. 11191. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-030-01767-5. Available under: doi: 10.1007/978-3-030-01768-2_7BibTex
@inproceedings{Doell2018-10-05Train-44689, year={2018}, doi={10.1007/978-3-030-01768-2_7}, title={Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers}, number={11191}, isbn={978-3-030-01767-5}, issn={0302-9743}, publisher={Springer}, address={Cham}, series={Lecture Notes in Computer Science}, booktitle={Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings}, pages={75--86}, editor={Duivesteijn, Wouter and Siebes, Arno and Ukkonen, Antti}, author={Doell, Christoph and Donohue, Sarah and Pätz, Cedrik and Borgelt, Christian} }
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