2007 |
12 | EE | Roberto Gemello,
Franco Mana,
Stefano Scanzio,
Pietro Laface,
Renato de Mori:
Linear hidden transformations for adaptation of hybrid ANN/HMM models.
Speech Communication 49(10-11): 827-835 (2007) |
2006 |
11 | EE | Dario Albesano,
Roberto Gemello,
Pietro Laface,
Franco Mana,
Stefano Scanzio:
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting.
IJCNN 2006: 1554-1561 |
10 | EE | Roberto Gemello,
Franco Mana,
Dario Albesano,
Renato de Mori:
Multiple resolution analysis for robust automatic speech recognition.
Computer Speech & Language 20(1): 2-21 (2006) |
2001 |
9 | EE | Renato de Mori,
Loreta Moisa,
Roberto Gemello,
Franco Mana,
Dario Albesano:
Augmenting standard speech recognition features with energy gravity centres.
Computer Speech & Language 15(4): 341-354 (2001) |
2000 |
8 | EE | Roberto Gemello,
Dario Albesano,
Franco Mana:
CSELT Hybrid HMM/Neural Networks Technology for Continuous Speech Recognition.
IJCNN (5) 2000: 103-110 |
7 | EE | Roberto Gemello,
Dario Albesano,
Franco Mana,
Loreta Moisa:
Multi-Source Neural Networks for Speech Recognition: A Review of Recent Results.
IJCNN (5) 2000: 265-270 |
6 | | Dario Albesano,
Roberto Gemello,
Franco Mana:
Hybrid HMM-NN modeling of stationary-transitional units for continuous speech recognition.
Inf. Sci. 123(1-2): 3-11 (2000) |
1998 |
5 | | Dario Albesano,
Roberto Gemello,
Franco Mana:
Speeding up MLP Execution through Difference Forward Propagation.
Neural Processing Letters 8(2): 163-179 (1998) |
1991 |
4 | | Roberto Gemello,
Franco Mana,
Lorenza Saitta:
Rigel: An Inductive Learning System.
Machine Learning 6: 7-35 (1991) |
1989 |
3 | | Roberto Gemello,
Franco Mana:
An Integrated Characterization and Discrimination Scheme to Improve Learning Efficiency in Large Data Sets.
IJCAI 1989: 719-724 |
1988 |
2 | | Roberto Gemello,
Franco Mana:
Controlling Inductive Search in RIGEL Learning System.
IPMU 1988: 171-178 |
1 | | Roberto Gemello,
Franco Mana,
G. Viano:
Inducing Conceptual Discrimination Rules from Examples: An Application to Image Recognition.
ISMIS 1988: 313-321 |