| 2008 |
|---|
| 17 | EE | Michael Riesen,
Gürsel Serpen:
Validation of a bayesian belief network representation for posterior probability calculations on national crime victimization survey.
Artif. Intell. Law 16(3): 245-276 (2008) |
| 16 | EE | Gürsel Serpen:
Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork.
Neural Processing Letters 27(1): 1-15 (2008) |
| 2006 |
|---|
| 15 | | Gürsel Serpen:
NeuroWizard: A Software Tool for Empirical Modeling of Nonlinear Processes in Engineering Design Optimization.
IC-AI 2006: 396-402 |
| 14 | EE | Gürsel Serpen,
Maheshkumar Sabhnani:
Measuring similarity in feature space of knowledge entailed by two separate rule sets.
Knowl.-Based Syst. 19(1): 67-76 (2006) |
| 2004 |
|---|
| 13 | EE | Maheshkumar Sabhnani,
Gürsel Serpen:
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set.
Intell. Data Anal. 8(4): 403-415 (2004) |
| 12 | EE | Gürsel Serpen:
Managing spatio-temporal complexity in Hopfield neural network simulations for large-scale static optimization.
Mathematics and Computers in Simulation 64(2): 279-293 (2004) |
| 2003 |
|---|
| 11 | EE | Gürsel Serpen:
Adaptive Hopfield Network.
ICANN 2003: 3-10 |
| 10 | | Maheshkumar Sabhnani,
Gürsel Serpen:
Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context.
MLMTA 2003: 209-215 |
| 9 | | Maheshkumar Sabhnani,
Gürsel Serpen:
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection.
Security and Management 2003: 310-316 |
| 8 | | Maheshkumar Sabhnani,
Gürsel Serpen:
Formulation of a Heuristic Rule for Misuse and Anomaly Detection for U2R Attacks in Solaris Operating System Environment.
Security and Management 2003: 390-396 |
| 7 | EE | Gürsel Serpen,
Yifeng Xu:
Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation.
Neural Computing and Applications 12(1): 1-9 (2003) |
| 6 | | Gürsel Serpen,
Yifeng Xu:
Weight Initialization for Simultaneous Recurrent Neural Network Trained with a Fixed point Learning Algorithm.
Neural Processing Letters 17(1): 33-41 (2003) |
| 2002 |
|---|
| 5 | EE | Gürsel Serpen,
Joel Corra:
Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization.
Int. J. Neural Syst. 12(3-4): 203-218 (2002) |
| 4 | EE | Jason Bechtel,
Gürsel Serpen,
Marcus Brown:
Passphrase Authentication Based on Typing Style Through an Art 2 Neural Network.
International Journal of Computational Intelligence and Applications 2(2): 131-152 (2002) |
| 2001 |
|---|
| 3 | | Gürsel Serpen,
Amol Patwardhan,
Jeff Geib:
The Simultaneous Recurrent Neural Network for Addressing the Scaling Problem in Static Optimization.
Int. J. Neural Syst. 11(5): 477-487 (2001) |
| 2000 |
|---|
| 2 | EE | Gürsel Serpen,
David L. Livingston:
Determination of weights for relaxation recurrent neural networks.
Neurocomputing 34(1-4): 145-168 (2000) |
| 1997 |
|---|
| 1 | EE | Gürsel Serpen,
Azadeh Parvin:
On the performance of Hopfield network for graph search problem.
Neurocomputing 14(4): 365-381 (1997) |
