Mining Ecological Data with Cellular Automata. - Alexander Campbell; Binh Pham 001; Yu-Chu Tian (ACRI, 2004)

Graphics Hardware Implementation of the Parameter-Less Self-organising Map. - Alexander Campbell; Erik Berglund 002; Alexander Streit (IDEAL, 2005)

Scenario-Based Program Slicing. - Alexander Campbell; Anthony Cox (ECBS, 2008)

Early Exit Ensembles for Uncertainty Quantification. - Lorena Qendro; Alexander Campbell; Pietro Liò; Cecilia Mascolo (ML4H@NeurIPS, 2021)

Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network. - Isaac Sebenius; Alexander Campbell; Sarah E. Morgan; Edward T. Bullmore; Pietro Liò (MLSP, 2021)

High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. - Lorena Qendro; Alexander Campbell; Pietro Liò; Cecilia Mascolo (CoRR, 2021)

An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution. - James King; Ramón Viñas Torné 001; Alexander Campbell; Pietro Liò (CoRR, 2021)

Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. - Alexander Campbell; Lorena Qendro; Pietro Liò; Cecilia Mascolo (ICASSP, 2022)

A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data. - Tiago Azevedo; Alexander Campbell; Rafael Romero-Garcia; Luca Passamonti; Richard A. I. Bethlehem; Pietro Liò; Nicola Toschi (Medical Image Anal., 2022)

DBGDGM: Dynamic Brain Graph Deep Generative Model. - Alexander Campbell; Simeon Emilov Spasov; Nicola Toschi; Pietro Lio (MIDL, 2023)

DBGSL: Dynamic Brain Graph Structure Learning. - Alexander Campbell; Antonio Giuliano Zippo; Luca Passamonti; Nicola Toschi; Pietro Lio (MIDL, 2023)