Nam Trinh

Nam Trinh

Machine Learning Engineer

Publications

Task-Related and Resting-State EEG Classification of Adult Patients with ADHD Using Machine Learning

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

Generative Adversarial Network-Based Semi-supervised Learning for Pathological Speech Classification

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