Spectral Representation of Behaviour Primitives for Depression Analysis (2020)
Journal Article
Song, S., Jaiswal, S., Shen, L., & Valstar, M. (2020). Spectral Representation of Behaviour Primitives for Depression Analysis. IEEE Transactions on Affective Computing, https://doi.org/10.1109/taffc.2020.2970712

Depression is a serious mental disorder affecting millions of people. Traditional clinical diagnosis methods are subjective, complicated and require extensive participation of clinicians. Recent advances in automatic depression analysis systems promi... Read More about Spectral Representation of Behaviour Primitives for Depression Analysis.

Deep learning approaches to aircraft maintenance, repair and overhaul: a review (2018)
Presentation / Conference Contribution
Rengasami, D., Morvan, H., & Patrocinio Figueredo, G. (2018, November). Deep learning approaches to aircraft maintenance, repair and overhaul: a review. Presented at IEEE International Conference on Intelligent Transportation Systems

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maint... Read More about Deep learning approaches to aircraft maintenance, repair and overhaul: a review.

Towards computation of novel ideas from corpora of scientific text (2015)
Journal Article
Liu, H., Goulding, J., & Brailsford, T. (2015). Towards computation of novel ideas from corpora of scientific text. Lecture Notes in Artificial Intelligence, 9285, https://doi.org/10.1007/978-3-319-23525-7_33