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Gürsel Serpen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Maheshkumar Sabhnani, Gürsel Serpen
    KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection. [Citation Graph (0, 0)][DBLP]
    Security and Management, 2003, pp:310-316 [Conf]
  2. Maheshkumar Sabhnani, Gürsel Serpen
    Formulation of a Heuristic Rule for Misuse and Anomaly Detection for U2R Attacks in Solaris Operating System Environment. [Citation Graph (0, 0)][DBLP]
    Security and Management, 2003, pp:390-396 [Conf]
  3. Gürsel Serpen
    NeuroWizard: A Software Tool for Empirical Modeling of Nonlinear Processes in Engineering Design Optimization. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:396-402 [Conf]
  4. Gürsel Serpen
    Adaptive Hopfield Network. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:3-10 [Conf]
  5. Maheshkumar Sabhnani, Gürsel Serpen
    Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context. [Citation Graph (0, 0)][DBLP]
    MLMTA, 2003, pp:209-215 [Conf]
  6. Maheshkumar Sabhnani, Gürsel Serpen
    Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2004, v:8, n:4, pp:403-415 [Journal]
  7. Jason Bechtel, Gürsel Serpen, Marcus Brown
    Passphrase Authentication Based on Typing Style Through an Art 2 Neural Network. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2002, v:2, n:2, pp:131-152 [Journal]
  8. Gürsel Serpen, Joel Corra
    Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2002, v:12, n:3-4, pp:203-218 [Journal]
  9. Gürsel Serpen, Amol Patwardhan, Jeff Geib
    The Simultaneous Recurrent Neural Network for Addressing the Scaling Problem in Static Optimization. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:5, pp:477-487 [Journal]
  10. Gürsel Serpen, David L. Livingston
    Determination of weights for relaxation recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:34, n:1-4, pp:145-168 [Journal]
  11. Gürsel Serpen, Azadeh Parvin
    On the performance of Hopfield network for graph search problem. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:14, n:4, pp:365-381 [Journal]
  12. Gürsel Serpen, Maheshkumar Sabhnani
    Measuring similarity in feature space of knowledge entailed by two separate rule sets. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2006, v:19, n:1, pp:67-76 [Journal]
  13. Gürsel Serpen, Yifeng Xu
    Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:12, n:1, pp:1-9 [Journal]
  14. Gürsel Serpen, Yifeng Xu
    Weight Initialization for Simultaneous Recurrent Neural Network Trained with a Fixed point Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:1, pp:33-41 [Journal]
  15. Gürsel Serpen
    Managing spatio-temporal complexity in Hopfield neural network simulations for large-scale static optimization. [Citation Graph (0, 0)][DBLP]
    Mathematics and Computers in Simulation, 2004, v:64, n:2, pp:279-293 [Journal]

  16. Large Experiment and Evaluation Tool for WEKA Classifiers. [Citation Graph (, )][DBLP]

  17. A Bayesian Belief Network Classifier for Predicting Victimization in National Crime Victimization Survey. [Citation Graph (, )][DBLP]

  18. High-Fidelity FEA Simulation through Linking with Experiment Data: A Neural Network Methodology. [Citation Graph (, )][DBLP]

  19. Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble. [Citation Graph (, )][DBLP]

  20. Comparison of subsampling techniques for random subspace ensembles. [Citation Graph (, )][DBLP]

  21. Validation of a bayesian belief network representation for posterior probability calculations on national crime victimization survey. [Citation Graph (, )][DBLP]

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