Gursel Serpen, PhD
Gursel Serpen, PhD
Professor of Computer Science and Engineering at University of Toledo
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TitelZitiert vonJahr
Application of machine learning algorithms to KDD intrusion detection dataset within misuse detection context
M Sabhnani, G Serpen
Proceedings of International Conference on Machine Learning: Models …, 2003
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set
M Sabhnani, G Serpen
Intelligent Data Analysis 8 (4), 403-415, 2004
Performance analysis of probabilistic potential function neural network classifier
G Serpen, H Jiang, L Allred
Proceedings of artificial neural networks in engineering conference, St …, 1997
KDD feature set complaint heuristic rules for R2L attack detection
M Sabhnani, G Serpen
Security and Management, 310-316, 2003
A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis
G Serpen, DK Tekkedil, M Orra
Computers in biology and medicine 38 (2), 204-220, 2008
Determination of weights for relaxation recurrent neural networks
G Serpen, DL Livingston
Neurocomputing 34 (1-4), 145-168, 2000
A novel algorithm for classification of SPECT images of a human heart
KJ Cios, LS Goodenday, KK Shah, G Serpen
Proceedings Ninth IEEE Symposium on Computer-Based Medical Systems, 1-5, 1996
Hopfield network as static optimizer: Learning the weights and eliminating the guesswork
G Serpen
Neural Processing Letters 27 (1), 1-15, 2008
AI-WSN: Adaptive and intelligent wireless sensor network
G Serpen, J Li, L Liu
Procedia Computer Science 20, 406-413, 2013
Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation
G Serpen, Y Xu
Neural Computing & Applications 12 (1), 1-9, 2003
Managing spatio-temporal complexity in hopfield neural network simulations for large-scale static optimization
G Serpen
Mathematics and computers in simulation 64 (2), 279-293, 2004
On the performance of Hopfield network for graph search problem
G Serpen, A Parvin
Neurocomputing 14 (4), 365-381, 1997
Performance of global–local hybrid ensemble versus boosting and bagging ensembles
D Baumgartner, G Serpen
International Journal of Machine Learning and Cybernetics 4 (4), 301-317, 2013
Automated lung outline reconstruction in ventilation–perfusion scans using principal component analysis techniques
G Serpen, R Iyer, HM Elsamaloty, EI Parsai
Computers in biology and medicine 33 (2), 119-142, 2003
The Simultaneous Recurrent Neural Network for Addressing the Scaling Problem in Static Optimization
G Serpen, A Patwardhan, J Geib
International Journal of Neural Systems 11 (5), 477-487, 2001
Complexity analysis of multilayer perceptron neural network embedded into a wireless sensor network
G Serpen, Z Gao
Procedia Computer Science 36, 192-197, 2014
Large experiment and evaluation tool for WEKA classifiers
D Baumgartner, G Serpen
5th International Conference on Data Mining, 2009
Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble
G Serpen, S Pathical
Machine Learning and Applications, 2009. ICMLA'09. International Conference …, 2009
Validation of a bayesian belief network representation for posterior probability calculations on national crime victimization survey
M Riesen, G Serpen
Artificial Intelligence and Law 16 (3), 245-276, 2008
Passphrase authentication based on typing style through an ART 2 neural network
J Bechtel, G Serpen, M Brown
International Journal of Computational Intelligence and Applications 2 (02 …, 2002
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