| 2016 | ETRA | Priori-driven dimensions of face-space: experiments incorporating eye-tracking information. | Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, Daniel Rueckert |
| 2012 | ACCV | A Priori-Driven PCA. | Carlos E. Thomaz, Gilson A. Giraldi, Joaquim F. Pinto da Costa, Duncan Fyfe Gillies |
| 2012 | MICCAI | On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants. | Loizos Markides, Duncan Fyfe Gillies |
| 2004 | MICCAI | Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images. | Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Joseph V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert |
| 2003 | CAIP | A New Fisher-Based Method Applied to Face Recognition. | Carlos E. Thomaz, Duncan Fyfe Gillies |
| 2002 | ECCV | A New Quadratic Classifier Applied to Biometric Recognition. | Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa |
| 2002 | ICRA | The pq-Histogram as a Navigation Clue. | Giovani Gmez, Luis Enrique Sucar, Duncan Fyfe Gillies |
| 2002 | PRICAI | Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology. | Jung-Wook Bang, Duncan Fyfe Gillies |
| 1998 | AIMSA | A New Approach to Learning Bayesian Network Classifiers from Data: Using Observed Statistical Frequencies. | Tarkan Tahseen, Duncan Fyfe Gillies |
| 1997 | KES | Choice of error cost function for training unobservable nodes in Bayesian networks. | Chee-Keong Kwoh, Duncan Fyfe Gillies |
| 1995 | CAIP | Estimating the initial values of unobservable variables in visual probabilistic networks. | Chee-Keong Kwoh, Duncan Fyfe Gillies |
| 1992 | UAI | Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. | Luis Enrique Sucar, Duncan Fyfe Gillies |
| 1991 | ECSQARU | Handling Uncertainty in Knowledge-Based Computer Vision. | Luis Enrique Sucar, Duncan Fyfe Gillies |