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 | 2012 | |
|---|---|---|
| j26 |      | Dustin Baumgartner, Gürsel Serpen: A design heuristic for hybrid classification ensembles in machine learning. Intell. Data Anal. 16(2): 233-246 (2012) |
| j25 | | Santhosh Pathical, Gürsel Serpen: Hybrid random subsample classifier ensemble for high dimensional data sets. Int. J. Hybrid Intell. Syst. 9(2): 91-103 (2012) |
| j24 | | |
| j23 | | Jiakai Li, Gürsel Serpen: Simulating Heterogeneous and Larger-Scale Wireless Sensor Networks with TOSSIM TinyOS Emulator. Procedia CS 12: 374-379 (2012) |
| j22 | | Gürsel Serpen, Jiakai Li: Assessing Time Complexity of Applications for TinyOS-Mica Wireless Sensor Networks in TOSSIM Emulator. Procedia CS 12: 380-385 (2012) |
| 2011 | ||
| j21 | | Dustin Baumgartner, Gürsel Serpen: Comparative performance evaluation of global-local hybrid ensemble. Int. J. Hybrid Intell. Syst. 8(2): 59-70 (2011) |
| j20 | | Gürsel Serpen, Jiakai Li: Parallel and distributed computations of maximum independent set by a Hopfield neural net embedded into a wireless sensor network. Procedia CS 6: 390-395 (2011) |
| j19 | | Jiakai Li, Gürsel Serpen: nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network. Procedia CS 6: 396-401 (2011) |
| j18 | | Jiakai Li, Gürsel Serpen: TOSSIM simulation of wireless sensor network serving as hardware platform for Hopfield neural net configured for max independent set. Procedia CS 6: 408-412 (2011) |
| 2010 | ||
| j17 | | Gürsel Serpen, Michael Riesen: Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network. JILSA 2(3): 156-166 (2010) |
| c12 |  | Jaina Sangtani, Gürsel Serpen: Automated Composition of Web Service Workflow - A Novel QoS-Enabled Multi-criteria Cost Search Algorithm. ENASE 2010: 122-131 |
| c11 | | Santhosh Pathical, Gürsel Serpen: Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces. ICMLA 2010: 776-781 |
| c10 | | Santhosh Pathical, Gürsel Serpen: Comparison of subsampling techniques for random subspace ensembles. ICMLC 2010: 380-385 |
| 2009 | ||
| c9 | | Dustin Baumgartner, Gürsel Serpen: Large Experiment and Evaluation Tool for WEKA Classifiers. DMIN 2009: 340-346 |
| c8 | | Gürsel Serpen: High-Fidelity FEA Simulation through Linking with Experiment Data: A Neural Network Methodology. IC-AI 2009: 65-68 |
| c7 | | Michael Riesen, Gürsel Serpen: A Bayesian Belief Network Classifier for Predicting Victimization in National Crime Victimization Survey. IC-AI 2009: 648-652 |
| c6 | | Gürsel Serpen, Santhosh Pathical: Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble. ICMLA 2009: 740-745 |
| 2008 | ||
| j16 | | 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) |
| j15 | | Gürsel Serpen, D. K. Tekkedil, M. Orra: A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis. Comp. in Bio. and Med. 38(2): 204-220 (2008) |
| j14 | | Gürsel Serpen: Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork. Neural Processing Letters 27(1): 1-15 (2008) |
| 2006 | ||
| j13 | | 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) |
| c5 | | Gürsel Serpen: NeuroWizard: A Software Tool for Empirical Modeling of Nonlinear Processes in Engineering Design Optimization. IC-AI 2006: 396-402 |
| 2004 | ||
| j12 | | 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) |
| j11 | | 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 | ||
| j10 | | Gürsel Serpen, R. Iyer, H. M. Elsamaloty, E. I. Parsai: Automated lung outline reconstruction in ventilation-perfusion scans using principal component analysis techniques. Comp. in Bio. and Med. 33(2): 119-142 (2003) |
| j9 | | 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) |
| j8 | | 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) |
| c4 | | Maheshkumar Sabhnani, Gürsel Serpen: KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection. Security and Management 2003: 310-316 |
| c3 | | 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 |
| c2 | | |
| c1 | | Maheshkumar Sabhnani, Gürsel Serpen: Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context. MLMTA 2003: 209-215 |
| 2002 | ||
| j7 | | 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) |
| j6 | | 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) |
| 2001 | ||
| j5 | | 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 | ||
| j4 | | Gürsel Serpen, David L. Livingston: Determination of weights for relaxation recurrent neural networks. Neurocomputing 34(1-4): 145-168 (2000) |
| 1999 | ||
| j3 | | Gürsel Serpen: Necessary Conditions for Stability of Solutions in Recurrent Neural Networks. Neural Parallel & Scientific Comp. 7(1): 55-66 (1999) |
| 1997 | ||
| j2 | | Gürsel Serpen, Azadeh Parvin: On the performance of Hopfield network for graph search problem. Neurocomputing 14(4): 365-381 (1997) |
| 1994 | ||
| j1 | | Gürsel Serpen, David L. Livingston: Analysis of the relationship between weight parameters and stability of solutions in Hopfield networks form dynamic systems viewpoint. Neural Parallel & Scientific Comp. 2(3): 361-372 (1994) |
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