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Published in International Conference on Statistical Language and Speech Processing, 2021
This paper is about applying generative adversarial networks in a semi-supervised learning approach
Recommended citation: Trinh N.H., O’Brien D. (2020) Generative Adversarial Network-Based Semi-supervised Learning for Pathological Speech Classification. In: Espinosa-Anke L., Martín-Vide C., Spasić I. (eds) Statistical Language and Speech Processing. SLSP 2020. Lecture Notes in Computer Science, vol 12379. Springer, Cham. https://doi.org/10.1007/978-3-030-59430-5_14 http://doras.dcu.ie/25067/1/SLSP2020_Nam_DOB.pdf
Published in 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 2023
This paper is about applying machine learning with electroencephalogram (EEG) to classify ADHD people from healthy controls
Recommended citation: N. Trinh, R. Whelan, T. Ward and G. Derosiere, Task-Related and Resting-State EEG Classification of Adult Patients with ADHD Using Machine Learning, 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), Boston, MA, USA, 2023, pp. 1-4, doi: 10.1109/BSN58485.2023.10331185. https://psyarxiv.com/zec2x/download?format=pdf
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Undergraduate course, School of Computing, Dublin City University, 2020
Undergraduate course, School of Computing, Dublin City University, 2023