2001 |
8 | EE | Francesco Vivarelli,
Christopher K. I. Williams:
Comparing Bayesian neural network algorithms for classifying segmented outdoor images.
Neural Networks 14(4-5): 427-437 (2001) |
2000 |
7 | EE | Francesco Vivarelli,
Roberto Serra,
Enzo Agagliati,
Antonella Malcangi,
Roberto Muraca:
Bayesian Neural Network for Fermentation Control.
IJCNN (6) 2000: 279-284 |
6 | | Christopher K. I. Williams,
Francesco Vivarelli:
Upper and Lower Bounds on the Learning Curve for Gaussian Processes.
Machine Learning 40(1): 77-102 (2000) |
1998 |
5 | EE | Manfred Opper,
Francesco Vivarelli:
General Bounds on Bayes Errors for Regression with Gaussian Processes.
NIPS 1998: 302-308 |
4 | EE | Francesco Vivarelli,
Christopher K. I. Williams:
Discovering Hidden Features with Gaussian Processes Regression.
NIPS 1998: 613-619 |
1997 |
3 | | Francesco Vivarelli,
Piero Fariselli,
Rita Casadio:
The Prediction of Protein Secondary Structure with a Cascade Correlation Learning Architecture of Neural Networks.
Neural Computing and Applications 6(1): 57-62 (1997) |
1995 |
2 | | Rita Casadio,
Mario Compiani,
Piero Fariselli,
Francesco Vivarelli:
Predicting Free Energy Contribution to the Conformational Stability of Folded Proteins From the Residue Sequence with Radial Basis Function Networks.
ISMB 1995: 81-88 |
1 | | Francesco Vivarelli,
G. Giusti,
M. Villani,
Renato Campanini,
Piero Fariselli,
Mario Compiani,
Rita Casadio:
LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins.
Computer Applications in the Biosciences 11(3): 253-260 (1995) |