Investigating the Impact of Unsupervised Feature-Extraction from Multi-Wavelength Image Data for Photometric Classification of Stars, Galaxies and QSOs. - Annika Lindh (AICS, 2016)

Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. - Annika Lindh; Robert J. Ross; Abhijit Mahalunkar; Giancarlo D. Salton; John D. Kelleher (ICANN (1), 2018)

Generating Diverse and Meaningful Captions. - Annika Lindh; Robert J. Ross; Abhijit Mahalunkar; Giancarlo D. Salton; John D. Kelleher (CoRR, 2018)

Language-Driven Region Pointer Advancement for Controllable Image Captioning. - Annika Lindh; Robert J. Ross; John D. Kelleher (COLING, 2020)

Supervised Machine Learning for Modelling STEM Career and Education Interest in Irish School Children. - Annika Lindh; Keith Quille; Aidan Mooney; Kevin Marshall; Katriona O'Sullivan (EDM, 2022)

Show, Prefer and Tell: Incorporating User Preferences into Image Captioning. - Annika Lindh; Robert J. Ross; John D. Kelleher (SAC, 2023)