Regularisation in Sequential Learning Algorithms. - João F. G. de Freitas; Mahesan Niranjan; Andrew H. Gee (NIPS, 1997)

Global optimisation of neural network models via sequential sampling-importance resampling. - João F. G. de Freitas; Sue E. Johnson; Mahesan Niranjan; Andrew H. Gee (ICSLP, 1998)

Global Optimisation of Neural Network Models via Sequential Sampling. - João F. G. de Freitas; Mahesan Niranjan; Arnaud Doucet; Andrew H. Gee (NIPS, 1998)

Hybrid sequential Monte Carlo/Kalman methods to train neural networks in non-stationary environments. - João F. G. de Freitas; Mahesan Niranjan; Andrew H. Gee (ICASSP, 1999)

Robust Full Bayesian Methods for Neural Networks. - Christophe Andrieu; João F. G. de Freitas; Arnaud Doucet (NIPS, 1999)

Speech Modelling Using Subspace and EM Techniques. - Gavin Smith; João F. G. de Freitas; Tony Robinson; Mahesan Niranjan (NIPS, 1999)

Hierarchical Bayesian Models for Regularization in Sequential Learning. - João F. G. de Freitas; Mahesan Niranjan; Andrew H. Gee (Neural Comput., 2000)

Sequential Monte Carlo Methods to Train Neural Network Models. - João F. G. de Freitas; Mahesan Niranjan; Andrew H. Gee; Arnaud Doucet (Neural Comput., 2000)

Dynamic Learning with the EM Algorithm for Neural Networks. - João F. G. de Freitas; Mahesan Niranjan; Andrew H. Gee (J. VLSI Signal Process., 2000)

Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. - Pinar Duygulu; Kobus Barnard; João F. G. de Freitas; David A. Forsyth (ECCV (4), 2002)