Angelika Skarysz

According to our database, Angelika Skarysz authored at least 3 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A deep learning-based system for fast and automated detection of volatile organic compounds in raw gas chromatography-mass spectrometry breath data.

Angelika Skarysz

PhD thesis, 2021

2020

Fast and automated biomarker detection in breath samples with machine learning.

Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio

CoRR, 2020

2018

Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data.

Angelika Skarysz, Yaser Alkhalifah, Kareen Darnley, Michael Eddleston, Yang Hu, Duncan B. McLaren, William H. Nailon, Dahlia Salman, Martin Sykora, C. L. Paul Thomas, Andrea Soltoggio

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018