Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

2022.

One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra.

In:

SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

Verfügbar unter: https://spie.org/photonics-europe/presentation/One-dimensional-convolutional-neural-networks-design-for-fluorescence-spectroscopy-with/12139-60

Sperti, Michela; Michelucci, Umberto; Venturini, Francesca; Gucciardi, Arnaud; Deriu, Marco A.,

2022.

Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks [Poster].

In:

SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

Verfügbar unter: https://spie.org/EPE/conferencedetails/optical-sensing-detection

Gucciardi, Arnaud; Michelucci, Umberto; Venturini, Francesca; Sperti, Michela; Martos, Vanessa M.; Deriu, Marco A.,

2022.

Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil [Poster].

In:

SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

Verfügbar unter: https://doi.org/10.1117/12.2621588

Senn, Christoph Walter; Kumazawa, Itsuo,

2022.

Abstract reservoir computing.

AI.

3(1), S. 194-210.

Verfügbar unter: https://doi.org/10.3390/ai3010012

Sommer, Christian; Özden, Ismail; Weyland, Mathias S.; Duran, Carolina; Lutters, Gerd; Scheidegger, Stephan,

2022.

Feasibility of a method for low contrast CT image quality assessment using difference detail curves for abdominal scans.

Zeitschrift für Medizinische Physik.

32(2), S. 209-217.

Verfügbar unter: https://doi.org/10.1016/j.zemedi.2022.01.001