Gursel Serpen, PhD
Gursel Serpen, PhD
Professor of Computer Science and Engineering at University of Toledo
Verified email at
Cited by
Cited by
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
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
KDD feature set complaint heuristic rules for R2L attack detection
M Sabhnani, G Serpen
Security and Management, 310-316, 2003
AI-WSN: Adaptive and intelligent wireless sensor network
G Serpen, J Li, L Liu
Procedia Computer Science 20, 406-413, 2013
Hopfield network as static optimizer: Learning the weights and eliminating the guesswork
G Serpen
Neural Processing Letters 27 (1), 1-15, 2008
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
Complexity analysis of multilayer perceptron neural network embedded into a wireless sensor network
G Serpen, Z Gao
Procedia Computer Science 36, 192-197, 2014
Determination of weights for relaxation recurrent neural networks
G Serpen, DL Livingston
Neurocomputing 34 (1-4), 145-168, 2000
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
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
Large experiment and evaluation tool for WEKA classifiers
D Baumgartner, G Serpen
5th International Conference on Data Mining, 2009
Bayes net classifiers for prediction of renal graft status and survival period
J Li, G Serpen, S Selman, M Franchetti, M Riesen, C Schneider
World Academy of Science, Engineering and Technology 39, 2010
Host-based misuse intrusion detection using PCA feature extraction and kNN classification algorithms
G Serpen, E Aghaei
Intelligent Data Analysis 22 (5), 1101-1114, 2018
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
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
Automated robotic parking systems: real-time, concurrent and multi-robot path planning in dynamic environments
G Serpen, C Dou
Applied Intelligence 42 (2), 231-251, 2015
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