| 1995 |
|---|
| 6 | | Tal Grossman,
Robert M. Farber,
Alan S. Lapedes:
Neural Net Representations of Empirical Protein Potentials.
ISMB 1995: 154-161 |
| 1993 |
|---|
| 5 | EE | Tal Grossman,
Alan S. Lapedes:
Use of Bad Training Data for Better Predictions.
NIPS 1993: 343-350 |
| 4 | EE | Amir A. Handzel,
Tal Grossman,
Eytan Domany,
Shlomit Tarem,
Ehud Duchovni:
A Neural Network Classifier In Experimental Particle Physics.
Int. J. Neural Syst. 4(2): 95-108 (1993) |
| 1991 |
|---|
| 3 | EE | Harel Shouval,
Isaac Shariv,
Tal Grossman,
Asher A. Friesem,
Eytan Domany:
An All-Optical Hopfield Network: Theory and Experiment.
Int. J. Neural Syst. 1(4): 355-360 (1991) |
| 1989 |
|---|
| 2 | EE | Tal Grossman:
The CHIR Algorithm for Feed Forward Networks with Binary Weights.
NIPS 1989: 516-523 |
| 1988 |
|---|
| 1 | EE | Tal Grossman,
Ronny Meir,
Eytan Domany:
Learning by Choice of Internal Representations.
NIPS 1988: 73-80 |
