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Authors: Ivanoe De Falco 1 ; Giuseppe De Pietro 1 ; Antonio Della Cioppa 2 ; Giovanna Sannino 1 ; Umberto Scafuri 1 and Ernesto Tarantino 1

Affiliations: 1 National Research Council of Italy (CNR), Italy ; 2 University of Salerno, Italy

Keyword(s): Medical Databases, Deep Learning, Optimization, Deep Neural Network Structure, Differential Evolution.

Abstract: Deep Neural Networks are being more and more widely used to perform several tasks over highly-sized datasets, one of them being classification. Finding good configurations for Deep Neural Network structures is a very important problem in general, and particularly in the medical domain. Currently, either trial-and-error methodologies or sampling-based ones are considered. This paper describes some preliminary steps towards effectively facing this task. The first step consists in the use of Differential Evolution, a kind of an Evolutionary Algorithm. The second lies in using a parallelized version in order to reduce the turnaround time. The preliminary results obtained here show that this approach can be useful in easily obtaining structures that allow increases in the network accuracy with respect to those provided by humans.

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Paper citation in several formats:
De Falco, I.; De Pietro, G.; Della Cioppa, A.; Sannino, G.; Scafuri, U. and Tarantino, E. (2018). Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - AI4Health; ISBN 978-989-758-281-3; ISSN 2184-4305, SciTePress, pages 633-640. DOI: 10.5220/0006730006330640

@conference{ai4health18,
author={Ivanoe {De Falco}. and Giuseppe {De Pietro}. and Antonio {Della Cioppa}. and Giovanna Sannino. and Umberto Scafuri. and Ernesto Tarantino.},
title={Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - AI4Health},
year={2018},
pages={633-640},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006730006330640},
isbn={978-989-758-281-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - AI4Health
TI - Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution
SN - 978-989-758-281-3
IS - 2184-4305
AU - De Falco, I.
AU - De Pietro, G.
AU - Della Cioppa, A.
AU - Sannino, G.
AU - Scafuri, U.
AU - Tarantino, E.
PY - 2018
SP - 633
EP - 640
DO - 10.5220/0006730006330640
PB - SciTePress

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