I-Ulysses: A technical report. - Simon Colreavy-Donnelly; Stuart O'Connor; Elmina Homapour (Entertain. Comput., 2019)

Assessing the perceived realism of agent grouping dynamics for adaptation and simulation. - Stuart O'Connor; James Shuttleworth; Simon Colreavy-Donnelly; Fotis Liarokapis (Entertain. Comput., 2019)

Fostering Engagement with Cultural Heritage Through Immersive VR and Gamification. - Stuart O'Connor; Simon Colreavy-Donnelly; Ian Dunwell (Visual Computing for Cultural Heritage, 2020)

Identifying Parkinson's Disease Through the Classification of Audio Recording Data. - James Bielby; Stefan Kuhn 001; Simon Colreavy-Donnelly; Fabio Caraffini; Stuart O'Connor; Zacharias A. Anastassi (CEC, 2020)

A Neural Network for Interpolating Light-Sources. - Simon Colreavy-Donnelly; Stefan Kuhn 001; Fabio Caraffini; Stuart O'Connor; Zacharias A. Anastassi; Simon Coupland (COMPSAC, 2020)

Shallow buried improvised explosive device detection via convolutional neural networks. - Simon Colreavy-Donnelly; Fabio Caraffini; Stefan Kuhn 001; Mario Gongora 001; Johana Florez-Lozano; Carlos Parra 001 (Integr. Comput. Aided Eng., 2020)

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. - Saúl Calderón Ramírez; Shengxiang Yang; Armaghan Moemeni; Simon Colreavy-Donnelly; David A. Elizondo; Luis Oala; Jorge Rodríguez-Capitán; Manuel Jiménez-Navarro; Ezequiel López-Rubio; Miguel A. Molina-Cabello (IEEE Access, 2021)

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. - Saúl Calderón Ramírez; Shengxiang Yang; Armaghan Moemeni; David A. Elizondo; Simon Colreavy-Donnelly; Luis Fernando Chavarria-Estrada; Miguel A. Molina-Cabello (Appl. Soft Comput., 2021)

A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning. - Stefan Kuhn 001; Eda Tumer; Simon Colreavy-Donnelly; Ricardo Moreira Borges (CoRR, 2021)

SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security. - Stuart O'Connor; Salim Hasshu; James Bielby; Simon Colreavy-Donnelly; Stefan Kuhn 001; Fabio Caraffini; Richard Smith 002 (Inf. Sci., 2021)

Direct deduction of chemical class from NMR spectra. - Stefan Kuhn 001; Carlos Cobas; Agustin Barba; Simon Colreavy-Donnelly; Fabio Caraffini; Ricardo Moreira Borges (CoRR, 2022)

Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables. - Tan Jo Yen; Sivakumar Vengusamy; Fabio Caraffini; Stefan Kuhn 001; Simon Colreavy-Donnelly (FRUCT, 2023)

Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments. - Lilian Genaro Motti Ader; Katie Crowley; Stefan Kuhn 001; Fabio Caraffini; Turgay Altindag; Simon Colreavy-Donnelly (ISTAS, 2023)

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; David A. Elizondo; Armaghan Moemeni; Simon Colreavy-Donnelly; Wojciech Samek; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IEEE Trans. Artif. Intell., 2023)

Marsan at PAN 2024 TextDetox: ToxiCleanse RL, Paving the Way for Toxicity-Free Online Discourse. - Maryam Najafi; Ehsan Tavan; Simon Colreavy (CLEF (Working Notes), 2024)

A Framework and Taxonomy for Characterizing the Applicability of Software Architecture Recovery Approaches: A Tertiary-Mapping Study. - Abdul Qayum; Mengqi Zhang; Simon Colreavy; Muslim Chochlov; Jim Buckley; Dayi Lin; Ashish Rajendra Sai (Softw. Pract. Exp., 2025)