| 2007 |
|---|
| 12 | EE | Onaiza Maqbool,
Haroon A. Babri:
Hierarchical Clustering for Software Architecture Recovery.
IEEE Trans. Software Eng. 33(11): 759-780 (2007) |
| 2006 |
|---|
| 11 | EE | Onaiza Maqbool,
Haroon A. Babri:
Automated software clustering: An insight using cluster labels.
Journal of Systems and Software 79(11): 1632-1648 (2006) |
| 2004 |
|---|
| 10 | EE | Onaiza Maqbool,
Haroon A. Babri:
The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering.
CSMR 2004: 15-24 |
| 2003 |
|---|
| 9 | EE | M. Saeed,
Onaiza Maqbool,
Haroon A. Babri,
Syed Zahoor Hassan,
S. Mansoor Sarwar:
Software Clustering Techniques and the Use of Combined Algorithm.
CSMR 2003: 301-306 |
| 8 | EE | Haroon A. Babri,
Yan Qiu Chen,
Kamran Ahsan:
Back Propagation with Randomized Cost Function for Training Neural Networks.
RSFDGrC 2003: 471-475 |
| 7 | EE | Xi Min Zhang,
Yan Qiu Chen,
Haroon A. Babri:
Augmented TDNN for frequency and scale invariant sequence classification.
Neurocomputing 50: 1-16 (2003) |
| 1998 |
|---|
| 6 | EE | Guang-Bin Huang,
Haroon A. Babri:
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions.
IEEE Transactions on Neural Networks 9(1): 224-229 (1998) |
| 5 | EE | Guang-Bin Huang,
Haroon A. Babri:
Comments on "Approximation capability in C(Rn) by multilayer feedforward networks and related problems".
IEEE Transactions on Neural Networks 9(4): 714-715 (1998) |
| 4 | | Guang-Bin Huang,
Haroon A. Babri,
Hua-Tian Li:
Ordering of Self-Organizing Maps in Multi-Dimensional Cases.
Neural Computation 10(1): 19-24 (1998) |
| 3 | EE | Haroon A. Babri,
Yan Qiu Chen,
T. Yin:
Improving backpropagation learning under limited precision.
Pattern Recognition Letters 19(11): 1007-1016 (1998) |
| 1997 |
|---|
| 2 | EE | W. L. Goh,
Dinesh P. Mital,
Haroon A. Babri:
An artificial neural network approach to handwriting recognition.
KES (1) 1997: 132-136 |
| 1996 |
|---|
| 1 | EE | Haroon A. Babri,
A. C. Kot,
S. L. Tay,
S. P. Ngian:
Error-based constraints for efficient learning of pattern recognition problem.
Pattern Recognition Letters 17(12): 1239-1245 (1996) |
